diff --git a/.DS_Store b/.DS_Store
deleted file mode 100644
index 6df9d25..0000000
Binary files a/.DS_Store and /dev/null differ
diff --git a/.gitignore b/.gitignore
index 40ae98d..f130b04 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,3 +4,7 @@ __pycache__/
 *.py[cod]
 data/
 .direnv/
+.fake-backend-config.json
+
+# OS files
+.DS_Store
\ No newline at end of file
diff --git a/AGENTS.md b/AGENTS.md
new file mode 100644
index 0000000..6baa25e
--- /dev/null
+++ b/AGENTS.md
@@ -0,0 +1,9 @@
+This is a project designing the compute platform for UTMIST (University of Toronto Machine Intelligence Student Team). The target cluster is two computers, one with tenstorrent gpu and one with nvidia gpus.
+
+## Documentation
+
+Agents are allowed to edit the README and top level markdown files as well as docs/agents, but shouldn't touch docs/humans as those are by humans for humans (though agents may notify humans if they believe human docs are severely outdated).
+
+## Temporary Decisions
+
+Make the frontend lightweight and move logic to backend. We aren't short on bandwidth, so it is fine to send a new qpi request and refresh UI every once in a while.
\ No newline at end of file
diff --git a/README.md b/README.md
index 9d0f2f8..ad6502a 100644
--- a/README.md
+++ b/README.md
@@ -4,15 +4,17 @@ UTMIST's research compute platform. Submit Python scripts or tagged container
 images, choose CPU, NVIDIA GPUs or Tenstorrent boards, upload datasets, and
 collect persistent results through the same website or CLI.
 
-**Private website:** http://100.73.139.66:8088, accessible through authorized
+**Private website:** [http://100.73.139.66:8088](http://100.73.139.66:8088), accessible through authorized
 Tailscale connectivity. A Mist account and team membership are also required.
 
 ## Current installation
 
-| Machine | Role | LAN address | Tailscale address |
-|---|---|---|---|
-| `utmist-z1opa08` | k3s server, API/auth, website, CPU and two RTX A4000 GPUs | `10.0.0.175` | `100.73.139.66` |
-| `utmist-tt` | k3s worker, four n300 boards/eight chips, shared storage | `10.0.0.112` | `100.95.175.37` |
+
+| Machine          | Role                                                      | LAN address  | Tailscale address |
+| ---------------- | --------------------------------------------------------- | ------------ | ----------------- |
+| `utmist-z1opa08` | k3s server, API/auth, website, CPU and two RTX A4000 GPUs | `10.0.0.175` | `100.73.139.66`   |
+| `utmist-tt`      | k3s worker, four n300 boards/eight chips, shared storage  | `10.0.0.112` | `100.95.175.37`   |
+
 
 The cluster and NFS use the existing LAN. Tailscale provides private portal and
 administrator SSH access. Kubernetes/containerd run workload containers.
@@ -60,3 +62,27 @@ chaining, browser image archives/builds, private pull-credential management and
 distributed multi-machine training are outside this release. Automatic backups,
 HTTPS and monitoring/cleanup products were explicitly excluded. This is a private
 HTTP installation with one control plane, one auth instance and one storage host.
+
+### Documentation
+
+Humans are responsible for editing the human facing docs. This is because the human facing docs will be read by humans, and it is rude to give them untested instructions to follow.
+
+Documentation should include explanations of design decisions for later platform maintainers.
+
+## Frontend Testing
+
+how to use fake backend for testing frontend.
+
+(temporary, functionality, to be removed in future commit.)
+
+```bash
+# Terminal 1
+npm --prefix web-interface run dev -- --host 127.0.0.1 --port 3001 --strictPort
+
+# Terminal 2
+npm --prefix web-interface run fake-backend
+```
+
+
+
+ 
\ No newline at end of file
diff --git a/docs/README.md b/docs/README.md
index 17a1067..ce6536a 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -18,6 +18,7 @@ host-specific settings when provisioning another environment.
 | Authenticate and submit from a terminal | [CLI](../cli/docs/setup.md) |
 | Run automated checks and read recorded live evidence | [Testing](testing.md) |
 | Maintain UI components and interactions | [Design system](design-system.md) |
+| Understand frontend architecture and backend offloading | [Frontend architecture](frontend-architecture.md) |
 | Read completed scope, exclusions and release verification | [Execution record](department-rollout-execution.md) |
 | See what repository cleanup removed and verified | [Cleanup record](repository-cleanup.md) |
 
diff --git a/docs/frontend-architecture.md b/docs/frontend-architecture.md
new file mode 100644
index 0000000..f27ed6a
--- /dev/null
+++ b/docs/frontend-architecture.md
@@ -0,0 +1,125 @@
+# Frontend Architecture & Backend Offloading
+
+Documentation of the current Mist frontend ([`web-interface`](../web-interface)), its structural organization, and a roadmap of client-side processing to offload to the backend.
+
+## Architecture overview
+
+```mermaid
+flowchart TD
+    User([User Browser]) --> Shell[Root Shell: __root.tsx]
+    Shell --> AG[AccountGate: auth.tsx]
+    AG --> TG[TeamGate: teams.tsx]
+    TG --> Nav[Navbar.tsx]
+    TG --> RouterOutlet[TanStack Router Outlet]
+
+    RouterOutlet --> DPage[Dashboard: dashboard.tsx]
+    RouterOutlet --> JPage[Jobs Page: jobs.tsx]
+    RouterOutlet --> SPage[Datasets Page: datasets.tsx]
+    RouterOutlet --> MPage[Machines Page: machines.tsx]
+    RouterOutlet --> TPage[Teams Page: teams.tsx]
+    RouterOutlet --> PPage[Profile: profile.tsx]
+
+    JPage --> JSF[JobSubmissionForm.tsx]
+    JPage --> JC[JobCard.tsx]
+    JC --> JL[JobLogs.tsx]
+    JC --> JF[JobFiles.tsx]
+
+    SPage --> TSB[TeamStorageBrowser.tsx]
+```
+
+### Technology stack
+
+- **Vite 7.3**: Build tool and development proxy (`/api` and `/auth` forwards).
+- **React 19.3**: Functional component architecture with custom hooks.
+- **TanStack Router**: File-based routing located in `src/routes/` with code-splitting.
+- **Tailwind CSS 4**: Modern styling via `@tailwindcss/vite` and customized Mist theme classes.
+- **Better Auth Client**: Authentication state and admin member management.
+- **Vitest 5 & Testing Library**: Unit and component tests.
+
+### Source layout
+
+| Location | Purpose |
+|---|---|
+| `src/main.tsx`, `router.tsx` | Router initialization and DOM hydration |
+| `src/routes/__root.tsx` | Shell wrapper containing `AccountGate`, `TeamGate`, and `Navbar` |
+| `src/routes/` | File-based routes (`dashboard.tsx`, `jobs.tsx`, `datasets.tsx`, `machines.tsx`, `teams.tsx`, `profile.tsx`) |
+| `src/auth.tsx` | Better Auth client configuration, `AccountContext`, and `AccountGate` |
+| `src/teams.tsx` | `TeamContext`, active team selection, workspace selector |
+| `src/api.ts` | Typed HTTP client for jobs, datasets, hardware, and teams |
+| `src/hooks/usePolling.ts` | In-flight request deduplication and abortable periodic polling |
+| `src/components/jobs/` | `JobSubmissionForm`, `JobCard`, `JobLogs`, `JobFiles` |
+| `src/components/` | `HardwarePanel`, `TeamStorageBrowser`, `Modal`, `Picker`, `Tabs`, `Card`, `Buttons` |
+
+---
+
+## Backend offloading plan
+
+To keep the frontend as lightweight and simple as possible, the following responsibilities currently performed on the client should be handled by the backend:
+
+1. **Pagination and filtering**:
+   - `JobsPage`: Replace client-side slicing and array filtering with query parameters on `GET /jobs?status=...&q=...&page=...&limit=...`.
+   - `DatasetsPage`: Add `GET /datasets?q=...`.
+   - `AccountPage`: Replace Better Auth `listUsers({ limit: 1000 })` with a paginated endpoint `GET /members?page=...&q=...`.
+2. **Metrics aggregation**:
+   - Provide `GET /metrics/summary` or summary counters in list endpoints to avoid transferring full item arrays just to compute badge totals.
+3. **Image catalog and validation**:
+   - Move registry string parsing and image approval checks from `JobSubmissionForm` to server-side submission validation.
+4. **Quota and limit calculation**:
+   - Replace client-side calculation of `maxDevices` and `maxTimeout` with authoritative constraints provided by the team policy API.
+5. **Form parsing**:
+   - Accept raw multiline environment variable text and shell commands on `POST /jobs`, delegating parsing and validation to the server.
+6. **Error status handling**:
+   - Replace English error string matching (e.g. `isPreparing`) with typed machine-readable status fields (`{ status: "provisioning" }`).
+7. **Permission flags**:
+   - Return explicit capability booleans (`can_cancel`, `can_delete`, `can_manage`) on entities rather than parsing role strings on the client.
+8. **Atomic operations**:
+   - Consolidate multi-call client sequences (e.g. team creation + creator enrollment, password reset + session revocation) into atomic backend operations.
+9. **Event-driven updates**:
+   - Replace high-frequency polling with Server-Sent Events (SSE) or WebSockets for live job status and log streaming.
+
+---
+
+## Testing with the fake backend
+
+A self-contained testing backend is provided in `scripts/fake-backend.mjs`. It simulates all Mist API endpoints and Better Auth handlers in memory.
+
+### Running locally
+
+```bash
+# Terminal 1: Start fake backend (default port 3000)
+npm --prefix web-interface run fake-backend
+```
+
+```bash
+# Terminal 2: Start frontend dev server (port 3001)
+npm --prefix web-interface run dev -- --host 127.0.0.1 --port 3001 --strictPort
+```
+
+Open http://127.0.0.1:3001 in your browser. Pre-seeded users include `ada@utmist.gitlab.io` (admin), `alan@utmist.gitlab.io`, and `grace@utmist.gitlab.io`.
+
+### Configuring hypothetical scenarios and fake information
+
+A companion configure tool is provided at `scripts/configure-fake-backend.mjs` to set up hypothetical cluster topologies, error conditions, and user setups:
+
+```bash
+# Interactive menu (choose scenarios, add fake nodes, switch active user)
+npm --prefix web-interface run configure-fake-backend
+
+# Switch to a preset scenario directly
+node scripts/configure-fake-backend.mjs --scenario high-load
+node scripts/configure-fake-backend.mjs --scenario unhealthy
+node scripts/configure-fake-backend.mjs --scenario empty-slate
+node scripts/configure-fake-backend.mjs --scenario large-cluster
+node scripts/configure-fake-backend.mjs --scenario default
+
+# Inspect current cluster topology & status
+node scripts/configure-fake-backend.mjs --status
+
+# Add custom fake machines, users, or teams
+node scripts/configure-fake-backend.mjs --add-machine name=dgx-custom,ip=10.99.1.5,cpu=64,ram=256Gi,gpu=8
+node scripts/configure-fake-backend.mjs --add-user name="Marie Curie",email=curie@rad.edu,role=admin
+node scripts/configure-fake-backend.mjs --set-user curie@rad.edu
+```
+
+If the fake backend is running, `configure-fake-backend.mjs` updates the live server immediately without requiring a restart, while also saving to `.fake-backend-config.json` for persistence.
+
diff --git a/scripts/configure-fake-backend.mjs b/scripts/configure-fake-backend.mjs
new file mode 100644
index 0000000..4796596
--- /dev/null
+++ b/scripts/configure-fake-backend.mjs
@@ -0,0 +1,547 @@
+#!/usr/bin/env node
+/**
+ * Mist Fake Backend Configuration CLI
+ *
+ * Configures hypothetical scenarios, fake users, machines, and hardware pools
+ * for local testing of the web interface.
+ *
+ * Usage:
+ *   node scripts/configure-fake-backend.mjs                     # Interactive mode
+ *   node scripts/configure-fake-backend.mjs --scenario high-load # Switch scenario
+ *   node scripts/configure-fake-backend.mjs --status            # Show current topology
+ *   node scripts/configure-fake-backend.mjs --list-scenarios    # List all presets
+ *   node scripts/configure-fake-backend.mjs --reset             # Reset to default
+ */
+
+import fs from 'node:fs'
+import path from 'node:path'
+import http from 'node:http'
+import readline from 'node:readline/promises'
+import { stdin as input, stdout as output } from 'node:process'
+import { fileURLToPath } from 'node:url'
+import {
+  getScenario,
+  SCENARIO_DESCRIPTIONS,
+  SCENARIO_FACTORIES,
+} from './fake-backend-scenarios.mjs'
+
+const ROOT_DIR = path.resolve(path.dirname(fileURLToPath(import.meta.url)), '..')
+const CONFIG_FILE = path.resolve(ROOT_DIR, '.fake-backend-config.json')
+
+// Parse CLI flags
+const argv = process.argv.slice(2)
+function getFlag(name) {
+  const idx = argv.indexOf(name)
+  return idx !== -1 && argv[idx + 1] ? argv[idx + 1] : null
+}
+function hasFlag(name) {
+  return argv.includes(name)
+}
+
+const PORT = Number(
+  getFlag('--port') || process.env.PORT || process.env.MIST_FAKE_PORT || 3000,
+)
+const HOST = process.env.HOST || '127.0.0.1'
+
+// --- Server Communication Helpers ---
+
+function requestJSON(method, endpointPath, body = null) {
+  return new Promise((resolve, reject) => {
+    const data = body ? JSON.stringify(body) : null
+    const req = http.request(
+      {
+        hostname: HOST,
+        port: PORT,
+        path: endpointPath,
+        method,
+        headers: {
+          'Content-Type': 'application/json',
+          ...(data ? { 'Content-Length': Buffer.byteLength(data) } : {}),
+        },
+        timeout: 1500,
+      },
+      (res) => {
+        let resData = ''
+        res.on('data', (chunk) => (resData += chunk))
+        res.on('end', () => {
+          try {
+            resolve({
+              status: res.statusCode,
+              data: resData ? JSON.parse(resData) : null,
+            })
+          } catch (e) {
+            resolve({ status: res.statusCode, raw: resData })
+          }
+        })
+      },
+    )
+    req.on('timeout', () => {
+      req.destroy()
+      reject(new Error('Connection timed out'))
+    })
+    req.on('error', (err) => reject(err))
+    if (data) req.write(data)
+    req.end()
+  })
+}
+
+async function checkLiveServer() {
+  try {
+    const res = await requestJSON('GET', '/_fake/state')
+    if (res.status === 200 && res.data) {
+      return res.data
+    }
+  } catch {}
+  return null
+}
+
+function loadLocalConfigFile() {
+  if (fs.existsSync(CONFIG_FILE)) {
+    try {
+      return JSON.parse(fs.readFileSync(CONFIG_FILE, 'utf-8'))
+    } catch {}
+  }
+  return null
+}
+
+function saveLocalConfigFile(state) {
+  fs.writeFileSync(CONFIG_FILE, JSON.stringify(state, null, 2), 'utf-8')
+}
+
+async function applyState(state) {
+  // 1. Save to local config file
+  saveLocalConfigFile(state)
+
+  // 2. If live server running, update it dynamically
+  const live = await checkLiveServer()
+  if (live) {
+    try {
+      await requestJSON('POST', '/_fake/state', state)
+      console.log(`\n✓ Live fake backend at http://${HOST}:${PORT} updated instantly!`)
+      console.log(`✓ Saved configuration to .fake-backend-config.json`)
+      return
+    } catch (err) {
+      console.warn(`\n(Live update failed: ${err.message})`)
+    }
+  }
+  console.log(`\n✓ Saved configuration to .fake-backend-config.json`)
+  console.log(`  (The fake backend is offline. Changes will take effect when it starts.)`)
+}
+
+function parseKeyValue(inputStr) {
+  const result = {}
+  const pairs = inputStr.split(',')
+  for (const pair of pairs) {
+    const [k, v] = pair.split('=').map((s) => s.trim())
+    if (k && v !== undefined) {
+      result[k] = v.replace(/^["']|["']$/g, '')
+    }
+  }
+  return result
+}
+
+function printStatus(state) {
+  console.log('\n======================================================')
+  console.log(`Scenario:     ${state.activeScenario || state.name || 'custom'}`)
+  const activeUser =
+    state.users?.[state.currentUserIndex] || state.currentUser || null
+  console.log(
+    `Active User:  ${activeUser ? `${activeUser.name} <${activeUser.email}> [${activeUser.role}]` : 'None'}`,
+  )
+  console.log(`Total Users:  ${state.users?.length ?? 0}`)
+  console.log('------------------------------------------------------')
+  console.log('Machines & Nodes:')
+  for (const m of state.machines || []) {
+    const status = m.ready ? (m.schedulable ? 'Ready' : 'Placement Paused') : 'Offline'
+    console.log(`  • ${m.name.padEnd(22)} ${m.address.padEnd(14)} [${status.padEnd(16)}] ${m.cpu_allocatable} CPU · ${m.memory_allocatable} RAM`)
+  }
+  console.log('Hardware Accelerator Pools:')
+  for (const p of state.pools || []) {
+    const avail = p.available === null ? 'Unknown' : p.available
+    const msg = p.message ? ` (${p.message})` : ''
+    console.log(`  • ${p.accelerator.toUpperCase().padEnd(12)} Node: ${p.node.padEnd(20)} Total: ${p.total}  Allocated: ${p.allocated}  Available: ${avail}${msg}`)
+  }
+  console.log('Teams:')
+  for (const t of state.teams || []) {
+    console.log(`  • ${t.name.padEnd(26)} Members: ${t.members?.length ?? 0}  Policy: ${t.policy?.storage_gib ?? 0} GiB Datasets / ${t.policy?.model_storage_gib ?? 0} GiB Models`)
+  }
+  console.log('Jobs in History:')
+  const states = {}
+  for (const j of state.jobs || []) {
+    states[j.job_state] = (states[j.job_state] || 0) + 1
+  }
+  console.log(`  Total: ${state.jobs?.length ?? 0} (${Object.entries(states).map(([k, v]) => `${k}: ${v}`).join(', ') || '0'})`)
+  console.log('======================================================\n')
+}
+
+// --- CLI Commands ---
+
+async function main() {
+  if (hasFlag('--help') || hasFlag('-h')) {
+    console.log(`
+Mist Fake Backend Configurator
+
+Commands & Options:
+  --scenario <name>       Load a preset scenario (default, high-load, unhealthy, empty-slate, large-cluster)
+  --list-scenarios        List all available built-in scenarios
+  --status                Display current cluster topology, machines, users, and jobs
+  --set-user <id|email>   Set which user is active in the web session
+  --add-user <kv>         Add a user: name="...",email="...",role=admin|user
+  --add-machine <kv>      Add a machine: name="...",ip="...",cpu=32,ram=128Gi,gpu=4,tt=0
+  --add-team <kv>         Add a team: name="...",storage=300,models=600
+  --config <path>         Load configuration from a JSON file
+  --export <path>         Export active configuration to a JSON file
+  --reset                 Reset back to the default scenario
+  --port <number>         Target port (default: 3000)
+
+Run with no flags for the interactive menu.
+`)
+    return
+  }
+
+  if (hasFlag('--list-scenarios')) {
+    console.log('\nAvailable Hypothetical Scenarios:')
+    for (const [name, desc] of Object.entries(SCENARIO_DESCRIPTIONS)) {
+      console.log(`  • ${name.padEnd(16)} : ${desc}`)
+    }
+    console.log('')
+    return
+  }
+
+  // Current state resolution
+  let currentState = (await checkLiveServer()) || loadLocalConfigFile() || getScenario('default')
+
+  if (hasFlag('--status')) {
+    const live = await checkLiveServer()
+    console.log(live ? `[Backend Server: ONLINE at http://${HOST}:${PORT}]` : `[Backend Server: OFFLINE (reading config file)]`)
+    printStatus(currentState)
+    return
+  }
+
+  if (hasFlag('--scenario')) {
+    const name = getFlag('--scenario')
+    try {
+      const scenario = getScenario(name)
+      await applyState(scenario)
+      printStatus(scenario)
+    } catch (err) {
+      console.error(`Error: ${err.message}`)
+      process.exit(1)
+    }
+    return
+  }
+
+  if (hasFlag('--reset')) {
+    const defaultScenario = getScenario('default')
+    await applyState(defaultScenario)
+    console.log('Reset to default scenario successfully.')
+    return
+  }
+
+  if (hasFlag('--config')) {
+    const filePath = getFlag('--config')
+    if (!fs.existsSync(filePath)) {
+      console.error(`File not found: ${filePath}`)
+      process.exit(1)
+    }
+    const data = JSON.parse(fs.readFileSync(filePath, 'utf-8'))
+    await applyState(data)
+    console.log(`Loaded configuration from ${filePath}.`)
+    return
+  }
+
+  if (hasFlag('--export')) {
+    const outPath = getFlag('--export')
+    fs.writeFileSync(outPath, JSON.stringify(currentState, null, 2), 'utf-8')
+    console.log(`Exported configuration to ${outPath}.`)
+    return
+  }
+
+  if (hasFlag('--set-user')) {
+    const target = getFlag('--set-user')
+    const idx = (currentState.users || []).findIndex(
+      (u) => u.id === target || u.email.toLowerCase() === target.toLowerCase(),
+    )
+    if (idx === -1) {
+      console.error(`User '${target}' not found. Available: ${currentState.users.map((u) => u.email).join(', ')}`)
+      process.exit(1)
+    }
+    currentState.currentUserIndex = idx
+    await applyState(currentState)
+    console.log(`Active user set to: ${currentState.users[idx].name} (${currentState.users[idx].email})`)
+    return
+  }
+
+  if (hasFlag('--add-user')) {
+    const kv = parseKeyValue(getFlag('--add-user'))
+    if (!kv.name || !kv.email) {
+      console.error('Error: name and email are required (e.g. name="Marie Curie",email="curie@rad.edu",role=admin)')
+      process.exit(1)
+    }
+    const newUser = {
+      id: 'usr_' + Date.now().toString(36),
+      name: kv.name,
+      email: kv.email,
+      role: kv.role || 'user',
+      banned: false,
+    }
+    currentState.users = currentState.users || []
+    currentState.users.push(newUser)
+    await applyState(currentState)
+    console.log(`Added user: ${newUser.name} <${newUser.email}> (${newUser.role})`)
+    return
+  }
+
+  if (hasFlag('--add-machine')) {
+    const kv = parseKeyValue(getFlag('--add-machine'))
+    if (!kv.name) {
+      console.error('Error: machine name is required (e.g. name=dgx-a100,ip=10.0.1.50,cpu=64,ram=256Gi,gpu=8)')
+      process.exit(1)
+    }
+    const newMachine = {
+      name: kv.name,
+      address: kv.ip || kv.address || '10.0.1.' + Math.floor(Math.random() * 200 + 20),
+      ready: kv.ready !== 'false',
+      schedulable: kv.schedulable !== 'false',
+      cpu_allocatable: kv.cpu || '32',
+      memory_allocatable: kv.ram || '128Gi',
+    }
+    currentState.machines = currentState.machines || []
+    currentState.machines.push(newMachine)
+
+    // Add GPU or TT pools if requested
+    currentState.pools = currentState.pools || []
+    if (Number(kv.gpu) > 0) {
+      currentState.pools.push({
+        accelerator: 'nvidia',
+        node: newMachine.name,
+        unit: 'GPU',
+        total: Number(kv.gpu),
+        allocated: 0,
+        available: Number(kv.gpu),
+        ready: true,
+      })
+    }
+    if (Number(kv.tt) > 0) {
+      currentState.pools.push({
+        accelerator: 'tenstorrent',
+        node: newMachine.name,
+        unit: 'board',
+        total: Number(kv.tt),
+        allocated: 0,
+        available: Number(kv.tt),
+        ready: true,
+        chips_per_device: 2,
+      })
+    }
+    await applyState(currentState)
+    console.log(`Added machine: ${newMachine.name} with ${kv.gpu || 0} GPUs and ${kv.tt || 0} Tenstorrent boards.`)
+    return
+  }
+
+  if (hasFlag('--add-team')) {
+    const kv = parseKeyValue(getFlag('--add-team'))
+    if (!kv.name) {
+      console.error('Error: team name is required (e.g. name="Quantum ML",storage=500,models=1000)')
+      process.exit(1)
+    }
+    const activeUser = currentState.users?.[currentState.currentUserIndex]
+    const newTeam = {
+      id: 'team-' + kv.name.toLowerCase().replace(/\W+/g, '-'),
+      name: kv.name,
+      disabled: false,
+      policy: {
+        cpu: kv.cpu || '16',
+        memory: kv.memory || '64Gi',
+        nvidia: Number(kv.gpu ?? 2),
+        tenstorrent: Number(kv.tt ?? 2),
+        concurrent: 4,
+        queued: 20,
+        storage_gib: Number(kv.storage || 300),
+        model_storage_gib: Number(kv.models || 600),
+        runtime_seconds: 86400,
+        registries: ['docker.io', 'ghcr.io'],
+      },
+      members: activeUser
+        ? [{ id: activeUser.id, name: activeUser.name, email: activeUser.email, common_writer: true }]
+        : [],
+      grants: [],
+    }
+    currentState.teams = currentState.teams || []
+    currentState.teams.push(newTeam)
+    await applyState(currentState)
+    console.log(`Added team: ${newTeam.name}`)
+    return
+  }
+
+  // --- Interactive Terminal Menu ---
+  const rl = readline.createInterface({ input, output })
+  try {
+    while (true) {
+      const live = await checkLiveServer()
+      console.clear()
+      console.log('======================================================')
+      console.log('           MIST FAKE BACKEND CONFIGURATOR')
+      console.log('======================================================')
+      console.log(`Backend Server: ${live ? `ONLINE (http://${HOST}:${PORT})` : 'OFFLINE (saving to config file)'}`)
+      console.log(`Active Scenario: ${currentState.activeScenario || currentState.name || 'custom'}`)
+      const u = currentState.users?.[currentState.currentUserIndex]
+      console.log(`Active User:     ${u ? `${u.name} <${u.email}> (${u.role})` : 'None'}`)
+      console.log(`Machines:        ${currentState.machines?.map((m) => m.name).join(', ') || 'None'}`)
+      console.log(`Teams:           ${currentState.teams?.map((t) => t.name).join(', ') || 'None'}`)
+      console.log('------------------------------------------------------')
+      console.log('Select an action:')
+      console.log('  1) Switch to a hypothetical scenario preset')
+      console.log('  2) Switch active logged-in user')
+      console.log('  3) Add a fake machine / node')
+      console.log('  4) Add a fake user')
+      console.log('  5) Add a fake team')
+      console.log('  6) View full cluster status')
+      console.log('  7) Reset to default scenario')
+      console.log('  8) Exit')
+      console.log('------------------------------------------------------')
+
+      const choice = (await rl.question('Enter choice [1-8]: ')).trim()
+
+      if (choice === '1') {
+        console.log('\nAvailable Hypothetical Scenarios:')
+        const keys = Object.keys(SCENARIO_DESCRIPTIONS)
+        keys.forEach((key, i) => {
+          console.log(`  ${i + 1}) ${key.padEnd(16)} : ${SCENARIO_DESCRIPTIONS[key]}`)
+        })
+        const sel = (await rl.question('\nSelect scenario [1-5]: ')).trim()
+        const idx = parseInt(sel, 10) - 1
+        if (keys[idx]) {
+          currentState = getScenario(keys[idx])
+          await applyState(currentState)
+          await rl.question('\nPress Enter to continue...')
+        }
+      } else if (choice === '2') {
+        console.log('\nAvailable Users:')
+        currentState.users.forEach((user, i) => {
+          const mark = i === currentState.currentUserIndex ? ' (ACTIVE)' : ''
+          console.log(`  ${i + 1}) ${user.name} <${user.email}> [${user.role}]${mark}`)
+        })
+        const sel = (await rl.question('\nSelect user number: ')).trim()
+        const idx = parseInt(sel, 10) - 1
+        if (currentState.users[idx]) {
+          currentState.currentUserIndex = idx
+          await applyState(currentState)
+        }
+      } else if (choice === '3') {
+        console.log('\n--- Add Fake Machine ---')
+        const name = (await rl.question('Machine name (e.g. dgx-h100-01): ')).trim()
+        if (!name) continue
+        const ip = (await rl.question('IP Address (default 10.0.1.25): ')).trim() || '10.0.1.25'
+        const cpu = (await rl.question('Allocatable CPU cores (default 32): ')).trim() || '32'
+        const ram = (await rl.question('Allocatable RAM (default 128Gi): ')).trim() || '128Gi'
+        const gpu = parseInt((await rl.question('NVIDIA GPUs count (default 0): ')).trim() || '0', 10)
+        const tt = parseInt((await rl.question('Tenstorrent boards count (default 0): ')).trim() || '0', 10)
+
+        const machine = {
+          name,
+          address: ip,
+          ready: true,
+          schedulable: true,
+          cpu_allocatable: cpu,
+          memory_allocatable: ram,
+        }
+        currentState.machines = currentState.machines || []
+        currentState.machines.push(machine)
+
+        currentState.pools = currentState.pools || []
+        if (gpu > 0) {
+          currentState.pools.push({
+            accelerator: 'nvidia',
+            node: name,
+            unit: 'GPU',
+            total: gpu,
+            allocated: 0,
+            available: gpu,
+            ready: true,
+          })
+        }
+        if (tt > 0) {
+          currentState.pools.push({
+            accelerator: 'tenstorrent',
+            node: name,
+            unit: 'board',
+            total: tt,
+            allocated: 0,
+            available: tt,
+            ready: true,
+            chips_per_device: 2,
+          })
+        }
+        await applyState(currentState)
+        await rl.question('\nMachine added! Press Enter to continue...')
+      } else if (choice === '4') {
+        console.log('\n--- Add Fake User ---')
+        const name = (await rl.question('Full name (e.g. Marie Curie): ')).trim()
+        if (!name) continue
+        const email = (await rl.question('Email (e.g. marie@utmist.gitlab.io): ')).trim()
+        if (!email) continue
+        const role = (await rl.question('Role (admin / user, default user): ')).trim() || 'user'
+        currentState.users = currentState.users || []
+        currentState.users.push({
+          id: 'usr_' + Date.now().toString(36),
+          name,
+          email,
+          role,
+          banned: false,
+        })
+        await applyState(currentState)
+        await rl.question('\nUser added! Press Enter to continue...')
+      } else if (choice === '5') {
+        console.log('\n--- Add Fake Team ---')
+        const name = (await rl.question('Team name (e.g. Quantum Computing Lab): ')).trim()
+        if (!name) continue
+        const storage = parseInt((await rl.question('Dataset storage in GiB (default 300): ')).trim() || '300', 10)
+        const models = parseInt((await rl.question('Model storage in GiB (default 600): ')).trim() || '600', 10)
+        const activeUser = currentState.users?.[currentState.currentUserIndex]
+
+        const newTeam = {
+          id: 'team-' + name.toLowerCase().replace(/\W+/g, '-'),
+          name,
+          disabled: false,
+          policy: {
+            cpu: '16',
+            memory: '64Gi',
+            nvidia: 2,
+            tenstorrent: 2,
+            concurrent: 4,
+            queued: 20,
+            storage_gib: storage,
+            model_storage_gib: models,
+            runtime_seconds: 86400,
+            registries: ['docker.io', 'ghcr.io'],
+          },
+          members: activeUser
+            ? [{ id: activeUser.id, name: activeUser.name, email: activeUser.email, common_writer: true }]
+            : [],
+          grants: [],
+        }
+        currentState.teams = currentState.teams || []
+        currentState.teams.push(newTeam)
+        await applyState(currentState)
+        await rl.question('\nTeam added! Press Enter to continue...')
+      } else if (choice === '6') {
+        printStatus(currentState)
+        await rl.question('\nPress Enter to return to menu...')
+      } else if (choice === '7') {
+        currentState = getScenario('default')
+        await applyState(currentState)
+        await rl.question('\nReset to default scenario! Press Enter to continue...')
+      } else if (choice === '8') {
+        break
+      }
+    }
+  } finally {
+    rl.close()
+  }
+}
+
+main().catch((err) => {
+  console.error('Fatal error:', err)
+  process.exit(1)
+})
diff --git a/scripts/fake-backend-scenarios.mjs b/scripts/fake-backend-scenarios.mjs
new file mode 100644
index 0000000..b9a0636
--- /dev/null
+++ b/scripts/fake-backend-scenarios.mjs
@@ -0,0 +1,643 @@
+/**
+ * Mist Fake Backend - Built-in Hypothetical Scenarios
+ *
+ * Provides modular scenario generators for testing various cluster topologies,
+ * load conditions, failure modes, and organizational structures.
+ */
+
+export const SCENARIO_DESCRIPTIONS = {
+  default: 'Standard balanced cluster with 1 GPU node, 1 Tenstorrent node, 2 teams, and 3 users.',
+  'high-load': 'Resource-exhausted cluster: 100% GPU/TT saturation, long waiting queue, and 95% full storage.',
+  unhealthy: 'Degraded cluster with offline nodes, failed jobs, driver error messages, and storage errors.',
+  'empty-slate': 'Clean empty cluster with 0 jobs, 0 datasets, and 0 teams for onboarding / first-run testing.',
+  'large-cluster': 'Multi-node enterprise setup with 5 machines (H100s, Wormholes), 5 teams, and 30+ jobs.',
+}
+
+export function createDefaultScenario() {
+  const now = Date.now()
+  return {
+    name: 'default',
+    description: SCENARIO_DESCRIPTIONS.default,
+    currentUserIndex: 0,
+    storageBudgetGiB: 2000,
+    users: [
+      {
+        id: 'usr_ada',
+        name: 'Ada Lovelace',
+        email: 'ada@utmist.gitlab.io',
+        role: 'admin',
+        banned: false,
+      },
+      {
+        id: 'usr_alan',
+        name: 'Alan Turing',
+        email: 'alan@utmist.gitlab.io',
+        role: 'user',
+        banned: false,
+      },
+      {
+        id: 'usr_grace',
+        name: 'Grace Hopper',
+        email: 'grace@utmist.gitlab.io',
+        role: 'user',
+        banned: false,
+      },
+    ],
+    machines: [
+      {
+        name: 'mist-gpu-node-01',
+        address: '10.0.1.10',
+        ready: true,
+        schedulable: true,
+        cpu_allocatable: '32',
+        memory_allocatable: '128Gi',
+      },
+      {
+        name: 'mist-tt-worker-01',
+        address: '10.0.1.11',
+        ready: true,
+        schedulable: true,
+        cpu_allocatable: '16',
+        memory_allocatable: '64Gi',
+      },
+    ],
+    pools: [
+      {
+        accelerator: 'nvidia',
+        node: 'mist-gpu-node-01',
+        unit: 'GPU',
+        total: 4,
+        allocated: 1,
+        available: 3,
+        ready: true,
+      },
+      {
+        accelerator: 'tenstorrent',
+        node: 'mist-tt-worker-01',
+        unit: 'board',
+        total: 4,
+        allocated: 0,
+        available: 4,
+        ready: true,
+        chips_per_device: 2,
+      },
+    ],
+    storage: {
+      enabled: true,
+      capacity_bytes: 1099511627776, // 1 TiB
+      available_bytes: 879609302220, // 800 GiB
+      model_capacity_bytes: 2199023255552, // 2 TiB
+      model_available_bytes: 1759218604441, // 1.6 TiB
+      dataset_allocation_gib: 500,
+      model_allocation_gib: 1000,
+      upload_limit_bytes: 5368709120, // 5 GiB
+    },
+    teams: [
+      {
+        id: 'team-vision',
+        name: 'Computer Vision',
+        disabled: false,
+        policy: {
+          cpu: '16',
+          memory: '64Gi',
+          nvidia: 2,
+          tenstorrent: 4,
+          concurrent: 4,
+          queued: 20,
+          storage_gib: 300,
+          model_storage_gib: 600,
+          runtime_seconds: 86400,
+          registries: ['docker.io', 'ghcr.io', 'quay.io'],
+        },
+        members: [
+          {
+            id: 'usr_ada',
+            name: 'Ada Lovelace',
+            email: 'ada@utmist.gitlab.io',
+            common_writer: true,
+          },
+          {
+            id: 'usr_alan',
+            name: 'Alan Turing',
+            email: 'alan@utmist.gitlab.io',
+            common_writer: false,
+          },
+        ],
+        grants: [
+          {
+            id: 'grant-nlp-share',
+            target_team: 'team-nlp',
+            scope: 'common',
+          },
+        ],
+      },
+      {
+        id: 'team-nlp',
+        name: 'Natural Language Processing',
+        disabled: false,
+        policy: {
+          cpu: '8',
+          memory: '32Gi',
+          nvidia: 1,
+          tenstorrent: 2,
+          concurrent: 2,
+          queued: 10,
+          storage_gib: 200,
+          model_storage_gib: 400,
+          runtime_seconds: 43200,
+          registries: ['docker.io', 'ghcr.io'],
+        },
+        members: [
+          {
+            id: 'usr_ada',
+            name: 'Ada Lovelace',
+            email: 'ada@utmist.gitlab.io',
+            common_writer: true,
+          },
+          {
+            id: 'usr_grace',
+            name: 'Grace Hopper',
+            email: 'grace@utmist.gitlab.io',
+            common_writer: false,
+          },
+        ],
+        grants: [],
+      },
+    ],
+    jobs: [
+      {
+        id: 'job-seed-001',
+        name: 'ResNet50 Vision Benchmark',
+        created: new Date(now - 3600000).toISOString(),
+        job_state: 'Success',
+        accelerator: 'nvidia',
+        device_count: 2,
+        image: 'ghcr.io/utmist/pytorch-cuda:latest',
+        cpu: '8',
+        memory: '32Gi',
+        node: 'mist-gpu-node-01',
+        exit_code: 0,
+        message: 'Job completed successfully in 1420s',
+        checkpoint_directory: '/outputs/checkpoints/job-seed-001',
+        output_directory: '/outputs/runs/job-seed-001',
+        timeout_seconds: 7200,
+        team_id: 'team-vision',
+        creator_id: 'usr_ada',
+        creator_name: 'Ada Lovelace',
+        storage_scope: 'common',
+        can_cancel: false,
+      },
+      {
+        id: 'job-seed-002',
+        name: 'BERT Fine-tuning Test',
+        created: new Date(now - 1800000).toISOString(),
+        job_state: 'InProgress',
+        accelerator: 'nvidia',
+        device_count: 1,
+        image: 'ghcr.io/utmist/pytorch-cuda:latest',
+        cpu: '4',
+        memory: '16Gi',
+        node: 'mist-gpu-node-01',
+        checkpoint_directory: '/outputs/checkpoints/job-seed-002',
+        output_directory: '/outputs/runs/job-seed-002',
+        timeout_seconds: 3600,
+        team_id: 'team-nlp',
+        creator_id: 'usr_grace',
+        creator_name: 'Grace Hopper',
+        storage_scope: 'usr_grace',
+        can_cancel: true,
+      },
+      {
+        id: 'job-seed-003',
+        name: 'Tenstorrent Wormhole Matrix Multiplication',
+        created: new Date(now - 600000).toISOString(),
+        job_state: 'Scheduled',
+        accelerator: 'tenstorrent',
+        device_count: 2,
+        image: 'ghcr.io/utmist/tt-metal-runtime:latest',
+        cpu: '4',
+        memory: '16Gi',
+        message: 'Queued; waiting for 2 Tenstorrent n300 board allocations',
+        checkpoint_directory: '/outputs/checkpoints/job-seed-003',
+        output_directory: '/outputs/runs/job-seed-003',
+        timeout_seconds: 1800,
+        team_id: 'team-vision',
+        creator_id: 'usr_alan',
+        creator_name: 'Alan Turing',
+        storage_scope: 'usr_alan',
+        can_cancel: true,
+      },
+    ],
+    datasets: [
+      {
+        id: 'ds-cifar100',
+        name: 'CIFAR-100 Benchmark Dataset',
+        filename: 'cifar100.zip',
+        size: 169000000,
+        files: 100,
+        sha256: 'e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855',
+        created: new Date(now - 86400000).toISOString(),
+        state: 'ready',
+        team_id: 'team-vision',
+        team_name: 'Computer Vision',
+        scope: 'common',
+        member_name: 'Ada Lovelace',
+        shared: false,
+      },
+      {
+        id: 'ds-wikitext',
+        name: 'Wikitext-103 Subset',
+        filename: 'wikitext.tar.gz',
+        size: 512000000,
+        files: 1,
+        sha256: 'ca978112ca1bbdcafac231b39a23dc4da786eff8147c4e72b9807785afee48bb',
+        created: new Date(now - 43200000).toISOString(),
+        state: 'ready',
+        team_id: 'team-nlp',
+        team_name: 'Natural Language Processing',
+        scope: 'common',
+        member_name: 'Grace Hopper',
+        shared: true,
+      },
+    ],
+  }
+}
+
+export function createHighLoadScenario() {
+  const now = Date.now()
+  const base = createDefaultScenario()
+  base.name = 'high-load'
+  base.description = SCENARIO_DESCRIPTIONS['high-load']
+
+  // Saturated hardware: 0 available
+  base.pools = [
+    {
+      accelerator: 'nvidia',
+      node: 'mist-gpu-node-01',
+      unit: 'GPU',
+      total: 4,
+      allocated: 4,
+      available: 0,
+      ready: true,
+    },
+    {
+      accelerator: 'tenstorrent',
+      node: 'mist-tt-worker-01',
+      unit: 'board',
+      total: 4,
+      allocated: 4,
+      available: 0,
+      ready: true,
+      chips_per_device: 2,
+    },
+  ]
+
+  // Storage 95% consumed
+  base.storage = {
+    enabled: true,
+    capacity_bytes: 1073741824000, // 1 TiB
+    available_bytes: 32212254720, // 30 GiB left (near capacity!)
+    model_capacity_bytes: 2147483648000,
+    model_available_bytes: 53687091200, // 50 GiB left
+    dataset_allocation_gib: 980,
+    model_allocation_gib: 1950,
+    upload_limit_bytes: 2147483648,
+  }
+
+  // 4 running jobs taking all accelerators + 8 queued jobs
+  base.jobs = [
+    {
+      id: 'job-hl-run-01',
+      name: 'LLM Multi-GPU Pretraining Node 1',
+      created: new Date(now - 7200000).toISOString(),
+      job_state: 'InProgress',
+      accelerator: 'nvidia',
+      device_count: 2,
+      image: 'ghcr.io/utmist/pytorch-cuda:latest',
+      cpu: '16',
+      memory: '64Gi',
+      node: 'mist-gpu-node-01',
+      checkpoint_directory: '/outputs/checkpoints/job-hl-run-01',
+      output_directory: '/outputs/runs/job-hl-run-01',
+      team_id: 'team-vision',
+      creator_name: 'Ada Lovelace',
+      can_cancel: true,
+    },
+    {
+      id: 'job-hl-run-02',
+      name: 'Diffusion Video Upscaler',
+      created: new Date(now - 3600000).toISOString(),
+      job_state: 'InProgress',
+      accelerator: 'nvidia',
+      device_count: 2,
+      image: 'ghcr.io/utmist/pytorch-cuda:latest',
+      cpu: '16',
+      memory: '64Gi',
+      node: 'mist-gpu-node-01',
+      checkpoint_directory: '/outputs/checkpoints/job-hl-run-02',
+      output_directory: '/outputs/runs/job-hl-run-02',
+      team_id: 'team-nlp',
+      creator_name: 'Grace Hopper',
+      can_cancel: true,
+    },
+    {
+      id: 'job-hl-run-03',
+      name: 'TT Wormhole Full-Board Stress Test',
+      created: new Date(now - 5400000).toISOString(),
+      job_state: 'InProgress',
+      accelerator: 'tenstorrent',
+      device_count: 4,
+      image: 'ghcr.io/utmist/tt-metal-runtime:latest',
+      cpu: '16',
+      memory: '64Gi',
+      node: 'mist-tt-worker-01',
+      checkpoint_directory: '/outputs/checkpoints/job-hl-run-03',
+      output_directory: '/outputs/runs/job-hl-run-03',
+      team_id: 'team-vision',
+      creator_name: 'Alan Turing',
+      can_cancel: true,
+    },
+    // Queued jobs
+    ...Array.from({ length: 8 }, (_, i) => ({
+      id: `job-hl-wait-0${i + 1}`,
+      name: `Queued Experiment #${i + 1}`,
+      created: new Date(now - (8 - i) * 300000).toISOString(),
+      job_state: 'Scheduled',
+      accelerator: i % 2 === 0 ? 'nvidia' : 'tenstorrent',
+      device_count: (i % 2) + 1,
+      image: i % 2 === 0 ? 'ghcr.io/utmist/pytorch-cuda:latest' : 'ghcr.io/utmist/tt-metal-runtime:latest',
+      cpu: '4',
+      memory: '16Gi',
+      message: `Waiting for resources (Position in queue: ${i + 1})`,
+      checkpoint_directory: `/outputs/checkpoints/wait-${i + 1}`,
+      output_directory: `/outputs/runs/wait-${i + 1}`,
+      team_id: i % 2 === 0 ? 'team-vision' : 'team-nlp',
+      creator_name: i % 3 === 0 ? 'Ada Lovelace' : i % 3 === 1 ? 'Alan Turing' : 'Grace Hopper',
+      can_cancel: true,
+    })),
+  ]
+
+  return base
+}
+
+export function createUnhealthyScenario() {
+  const now = Date.now()
+  const base = createDefaultScenario()
+  base.name = 'unhealthy'
+  base.description = SCENARIO_DESCRIPTIONS.unhealthy
+
+  base.machines = [
+    {
+      name: 'mist-gpu-node-01',
+      address: '10.0.1.10',
+      ready: false,
+      schedulable: false,
+      cpu_allocatable: '0',
+      memory_allocatable: '0Gi',
+    },
+    {
+      name: 'mist-tt-worker-01',
+      address: '10.0.1.11',
+      ready: true,
+      schedulable: false, // Placement paused!
+      cpu_allocatable: '16',
+      memory_allocatable: '64Gi',
+    },
+  ]
+
+  base.pools = [
+    {
+      accelerator: 'nvidia',
+      node: 'mist-gpu-node-01',
+      unit: 'GPU',
+      total: 4,
+      allocated: 0,
+      available: null,
+      ready: false,
+      message: 'Node offline; NVIDIA driver communication lost (NVML error 999)',
+    },
+    {
+      accelerator: 'tenstorrent',
+      node: 'mist-tt-worker-01',
+      unit: 'board',
+      total: 4,
+      allocated: 0,
+      available: 0,
+      ready: false,
+      chips_per_device: 2,
+      message: 'Node cordon active: scheduling paused for driver kernel patch',
+    },
+  ]
+
+  base.jobs = [
+    {
+      id: 'job-fail-001',
+      name: 'Vision Model OOM Failure',
+      created: new Date(now - 7200000).toISOString(),
+      job_state: 'Failure',
+      accelerator: 'nvidia',
+      device_count: 2,
+      image: 'ghcr.io/utmist/pytorch-cuda:latest',
+      cpu: '8',
+      memory: '16Gi',
+      node: 'mist-gpu-node-01',
+      exit_code: 137,
+      message: 'Command terminated by SIGKILL (Out of Memory - cgroup limit exceeded)',
+      checkpoint_directory: '/outputs/checkpoints/job-fail-001',
+      output_directory: '/outputs/runs/job-fail-001',
+      team_id: 'team-vision',
+      creator_name: 'Ada Lovelace',
+      can_cancel: false,
+    },
+    {
+      id: 'job-fail-002',
+      name: 'Faulty Python Script Crash',
+      created: new Date(now - 3600000).toISOString(),
+      job_state: 'Failure',
+      accelerator: 'cpu',
+      device_count: 0,
+      image: 'docker.io/library/python:3.11-slim',
+      cpu: '2',
+      memory: '4Gi',
+      node: 'mist-tt-worker-01',
+      exit_code: 1,
+      message: 'RuntimeError: ModuleNotFoundError: No module named torch_geometric',
+      checkpoint_directory: '/outputs/checkpoints/job-fail-002',
+      output_directory: '/outputs/runs/job-fail-002',
+      team_id: 'team-nlp',
+      creator_name: 'Grace Hopper',
+      can_cancel: false,
+    },
+    {
+      id: 'job-stuck-003',
+      name: 'Stuck Queued Job',
+      created: new Date(now - 1800000).toISOString(),
+      job_state: 'Scheduled',
+      accelerator: 'nvidia',
+      device_count: 1,
+      image: 'ghcr.io/utmist/pytorch-cuda:latest',
+      cpu: '4',
+      memory: '16Gi',
+      message: '0/2 nodes are available: 1 node is offline, 1 node has untolerated taint',
+      checkpoint_directory: '/outputs/checkpoints/job-stuck-003',
+      output_directory: '/outputs/runs/job-stuck-003',
+      team_id: 'team-vision',
+      creator_name: 'Alan Turing',
+      can_cancel: true,
+    },
+  ]
+
+  return base
+}
+
+export function createEmptySlateScenario() {
+  return {
+    name: 'empty-slate',
+    description: SCENARIO_DESCRIPTIONS['empty-slate'],
+    currentUserIndex: 0,
+    storageBudgetGiB: 1000,
+    users: [
+      {
+        id: 'usr_newcomer',
+        name: 'New Researcher',
+        email: 'researcher@utmist.gitlab.io',
+        role: 'admin',
+        banned: false,
+      },
+    ],
+    machines: [
+      {
+        name: 'lab-cluster-master',
+        address: '192.168.1.10',
+        ready: true,
+        schedulable: true,
+        cpu_allocatable: '16',
+        memory_allocatable: '64Gi',
+      },
+    ],
+    pools: [
+      {
+        accelerator: 'nvidia',
+        node: 'lab-cluster-master',
+        unit: 'GPU',
+        total: 2,
+        allocated: 0,
+        available: 2,
+        ready: true,
+      },
+    ],
+    storage: {
+      enabled: true,
+      capacity_bytes: 536870912000, // 500 GiB
+      available_bytes: 536870912000,
+      model_capacity_bytes: 1073741824000,
+      model_available_bytes: 1073741824000,
+      dataset_allocation_gib: 0,
+      model_allocation_gib: 0,
+      upload_limit_bytes: 5368709120,
+    },
+    teams: [],
+    jobs: [],
+    datasets: [],
+  }
+}
+
+export function createLargeClusterScenario() {
+  const now = Date.now()
+  const base = createDefaultScenario()
+  base.name = 'large-cluster'
+  base.description = SCENARIO_DESCRIPTIONS['large-cluster']
+  base.storageBudgetGiB = 10000
+
+  base.users = [
+    { id: 'usr_ada', name: 'Ada Lovelace', email: 'ada@utmist.gitlab.io', role: 'admin', banned: false },
+    { id: 'usr_alan', name: 'Alan Turing', email: 'alan@utmist.gitlab.io', role: 'user', banned: false },
+    { id: 'usr_grace', name: 'Grace Hopper', email: 'grace@utmist.gitlab.io', role: 'user', banned: false },
+    { id: 'usr_curie', name: 'Marie Curie', email: 'marie@utmist.gitlab.io', role: 'admin', banned: false },
+    { id: 'usr_feynman', name: 'Richard Feynman', email: 'feynman@utmist.gitlab.io', role: 'user', banned: false },
+    { id: 'usr_shannon', name: 'Claude Shannon', email: 'shannon@utmist.gitlab.io', role: 'user', banned: false },
+    { id: 'usr_neumann', name: 'John von Neumann', email: 'neumann@utmist.gitlab.io', role: 'user', banned: true },
+  ]
+
+  base.machines = [
+    { name: 'dgx-h100-node-01', address: '10.10.1.1', ready: true, schedulable: true, cpu_allocatable: '64', memory_allocatable: '512Gi' },
+    { name: 'dgx-h100-node-02', address: '10.10.1.2', ready: true, schedulable: true, cpu_allocatable: '64', memory_allocatable: '512Gi' },
+    { name: 'tt-wormhole-box-01', address: '10.10.1.3', ready: true, schedulable: true, cpu_allocatable: '32', memory_allocatable: '128Gi' },
+    { name: 'tt-wormhole-box-02', address: '10.10.1.4', ready: true, schedulable: true, cpu_allocatable: '32', memory_allocatable: '128Gi' },
+    { name: 'control-plane-k3s', address: '10.10.1.100', ready: true, schedulable: true, cpu_allocatable: '16', memory_allocatable: '64Gi' },
+  ]
+
+  base.pools = [
+    { accelerator: 'nvidia', node: 'dgx-h100-node-01', unit: 'GPU', total: 8, allocated: 4, available: 4, ready: true },
+    { accelerator: 'nvidia', node: 'dgx-h100-node-02', unit: 'GPU', total: 8, allocated: 6, available: 2, ready: true },
+    { accelerator: 'tenstorrent', node: 'tt-wormhole-box-01', unit: 'board', total: 4, allocated: 2, available: 2, ready: true, chips_per_device: 2 },
+    { accelerator: 'tenstorrent', node: 'tt-wormhole-box-02', unit: 'board', total: 4, allocated: 1, available: 3, ready: true, chips_per_device: 2 },
+  ]
+
+  base.teams = [
+    {
+      id: 'team-cv',
+      name: 'Computer Vision Lab',
+      disabled: false,
+      policy: { cpu: '32', memory: '128Gi', nvidia: 8, tenstorrent: 4, concurrent: 8, queued: 40, storage_gib: 1000, model_storage_gib: 2000, runtime_seconds: 86400, registries: ['docker.io', 'ghcr.io'] },
+      members: [{ id: 'usr_ada', name: 'Ada Lovelace', email: 'ada@utmist.gitlab.io', common_writer: true }, { id: 'usr_curie', name: 'Marie Curie', email: 'marie@utmist.gitlab.io', common_writer: true }],
+      grants: [],
+    },
+    {
+      id: 'team-llm',
+      name: 'Foundation Models & NLP',
+      disabled: false,
+      policy: { cpu: '64', memory: '256Gi', nvidia: 8, tenstorrent: 2, concurrent: 6, queued: 30, storage_gib: 2000, model_storage_gib: 4000, runtime_seconds: 86400, registries: ['docker.io', 'ghcr.io'] },
+      members: [{ id: 'usr_grace', name: 'Grace Hopper', email: 'grace@utmist.gitlab.io', common_writer: true }, { id: 'usr_shannon', name: 'Claude Shannon', email: 'shannon@utmist.gitlab.io', common_writer: false }],
+      grants: [],
+    },
+    {
+      id: 'team-robotics',
+      name: 'Autonomous Robotics',
+      disabled: false,
+      policy: { cpu: '16', memory: '64Gi', nvidia: 4, tenstorrent: 4, concurrent: 4, queued: 20, storage_gib: 800, model_storage_gib: 1200, runtime_seconds: 43200, registries: ['docker.io'] },
+      members: [{ id: 'usr_alan', name: 'Alan Turing', email: 'alan@utmist.gitlab.io', common_writer: true }, { id: 'usr_feynman', name: 'Richard Feynman', email: 'feynman@utmist.gitlab.io', common_writer: false }],
+      grants: [],
+    },
+  ]
+
+  // Generate 25 jobs across all states
+  const jobStates = ['Success', 'InProgress', 'Scheduled', 'Failure', 'Cancelled']
+  base.jobs = Array.from({ length: 25 }, (_, i) => ({
+    id: `job-enterprise-${String(i + 1).padStart(3, '0')}`,
+    name: `Model Exploration #${i + 1}`,
+    created: new Date(now - (25 - i) * 1200000).toISOString(),
+    job_state: jobStates[i % jobStates.length],
+    accelerator: i % 3 === 0 ? 'nvidia' : i % 3 === 1 ? 'tenstorrent' : 'cpu',
+    device_count: i % 3 === 2 ? 0 : (i % 4) + 1,
+    image: i % 3 === 0 ? 'ghcr.io/utmist/pytorch-cuda:latest' : i % 3 === 1 ? 'ghcr.io/utmist/tt-metal-runtime:latest' : 'docker.io/library/python:3.11-slim',
+    cpu: String((i % 4 + 1) * 4),
+    memory: `${(i % 4 + 1) * 16}Gi`,
+    node: i % 2 === 0 ? 'dgx-h100-node-01' : 'tt-wormhole-box-01',
+    exit_code: jobStates[i % jobStates.length] === 'Failure' ? 1 : jobStates[i % jobStates.length] === 'Success' ? 0 : undefined,
+    message: jobStates[i % jobStates.length] === 'Failure' ? 'Killed by cluster controller' : undefined,
+    checkpoint_directory: `/outputs/checkpoints/job-enterprise-${i + 1}`,
+    output_directory: `/outputs/runs/job-enterprise-${i + 1}`,
+    team_id: i % 2 === 0 ? 'team-cv' : 'team-llm',
+    creator_name: base.users[i % base.users.length].name,
+    can_cancel: jobStates[i % jobStates.length] === 'InProgress' || jobStates[i % jobStates.length] === 'Scheduled',
+  }))
+
+  return base
+}
+
+export const SCENARIO_FACTORIES = {
+  default: createDefaultScenario,
+  'high-load': createHighLoadScenario,
+  unhealthy: createUnhealthyScenario,
+  'empty-slate': createEmptySlateScenario,
+  'large-cluster': createLargeClusterScenario,
+}
+
+export function getScenario(name) {
+  const factory = SCENARIO_FACTORIES[name]
+  if (!factory) {
+    throw new Error(`Unknown scenario '${name}'. Available: ${Object.keys(SCENARIO_FACTORIES).join(', ')}`)
+  }
+  return factory()
+}
diff --git a/scripts/fake-backend.mjs b/scripts/fake-backend.mjs
new file mode 100644
index 0000000..d267623
--- /dev/null
+++ b/scripts/fake-backend.mjs
@@ -0,0 +1,882 @@
+#!/usr/bin/env node
+/**
+ * Mist Fake Backend Server
+ *
+ * A standalone, zero-dependency Node.js HTTP server simulating the Mist Go API
+ * and Better Auth service. Designed for local frontend development, testing,
+ * and rapid prototyping without requiring k3s, GPUs, or Better Auth SQLite.
+ *
+ * Usage:
+ *   node scripts/fake-backend.mjs
+ *   node scripts/fake-backend.mjs --scenario high-load
+ *   node scripts/fake-backend.mjs --config ./custom-config.json
+ *   PORT=3000 node scripts/fake-backend.mjs
+ *   npm --prefix web-interface run fake-backend
+ */
+
+import http from 'node:http'
+import fs from 'node:fs'
+import path from 'node:path'
+import { URL, fileURLToPath } from 'node:url'
+import crypto from 'node:crypto'
+import {
+  getScenario,
+  SCENARIO_DESCRIPTIONS,
+  SCENARIO_FACTORIES,
+} from './fake-backend-scenarios.mjs'
+
+// Parse command line arguments
+const args = process.argv.slice(2)
+function getArg(flag) {
+  const idx = args.indexOf(flag)
+  return idx !== -1 && args[idx + 1] ? args[idx + 1] : null
+}
+
+const PORT = Number(
+  getArg('--port') || process.env.PORT || process.env.MIST_FAKE_PORT || 3000,
+)
+const HOST = process.env.HOST || '127.0.0.1'
+const ROOT_DIR = path.resolve(path.dirname(fileURLToPath(import.meta.url)), '..')
+const DEFAULT_CONFIG_FILE = path.resolve(ROOT_DIR, '.fake-backend-config.json')
+
+// --- Initial State Management ---
+
+let state = {
+  activeScenario: 'default',
+  users: [],
+  currentUserIndex: 0,
+  machines: [],
+  pools: [],
+  storageBudgetGiB: 2000,
+  storage: {},
+  teams: [],
+  jobs: [],
+  datasets: [],
+  images: {
+    self_service: true,
+    teams_enabled: true,
+    registries: ['docker.io', 'ghcr.io', 'quay.io', 'localhost:5000'],
+    images: [
+      { reference: 'docker.io/library/python:3.11-slim', accelerators: ['cpu'] },
+      { reference: 'docker.io/library/pytorch-cpu:2.2.0', accelerators: ['cpu'] },
+      { reference: 'ghcr.io/utmist/pytorch-cuda:latest', accelerators: ['nvidia'] },
+      { reference: 'ghcr.io/utmist/tt-metal-runtime:latest', accelerators: ['tenstorrent'] },
+    ],
+    profiles: [
+      {
+        accelerator: 'cpu',
+        default_image: 'docker.io/library/python:3.11-slim',
+        device_unit: 'core',
+        max_devices: 16,
+        note: 'Standard CPU runtime',
+      },
+      {
+        accelerator: 'nvidia',
+        default_image: 'ghcr.io/utmist/pytorch-cuda:latest',
+        device_unit: 'GPU',
+        max_devices: 4,
+        note: 'NVIDIA CUDA 12.4 + PyTorch runtime',
+      },
+      {
+        accelerator: 'tenstorrent',
+        default_image: 'ghcr.io/utmist/tt-metal-runtime:latest',
+        device_unit: 'board',
+        max_devices: 4,
+        note: 'Tenstorrent Wormhole n300 PCIe runtime',
+      },
+    ],
+  },
+  jobLogs: new Map(),
+  jobFiles: new Map(),
+}
+
+export function applyConfiguration(config) {
+  if (config.users) state.users = JSON.parse(JSON.stringify(config.users))
+  if (config.currentUserIndex !== undefined) state.currentUserIndex = config.currentUserIndex
+  if (config.activeUserId) {
+    const idx = state.users.findIndex(
+      (u) => u.id === config.activeUserId || u.email.toLowerCase() === config.activeUserId.toLowerCase(),
+    )
+    if (idx >= 0) state.currentUserIndex = idx
+  }
+  if (config.machines) state.machines = JSON.parse(JSON.stringify(config.machines))
+  if (config.pools) state.pools = JSON.parse(JSON.stringify(config.pools))
+  if (config.storage) state.storage = JSON.parse(JSON.stringify(config.storage))
+  if (config.storageBudgetGiB !== undefined) state.storageBudgetGiB = config.storageBudgetGiB
+  if (config.teams) state.teams = JSON.parse(JSON.stringify(config.teams))
+  if (config.jobs) {
+    state.jobs = JSON.parse(JSON.stringify(config.jobs))
+    for (const job of state.jobs) {
+      if (!state.jobLogs.has(job.id)) {
+        state.jobLogs.set(
+          job.id,
+          `[${job.created}] Job ${job.name} initialized in state ${job.job_state}\n`,
+        )
+      }
+    }
+  }
+  if (config.datasets) state.datasets = JSON.parse(JSON.stringify(config.datasets))
+  if (config.images) state.images = JSON.parse(JSON.stringify(config.images))
+  if (config.name) state.activeScenario = config.name
+}
+
+// Determine initial scenario / config
+function initializeState() {
+  const cliScenario = getArg('--scenario') || process.env.MIST_FAKE_SCENARIO
+  const cliConfig = getArg('--config') || process.env.MIST_FAKE_CONFIG
+
+  if (cliScenario) {
+    try {
+      console.log(`[Config] Loading requested scenario: '${cliScenario}'`)
+      applyConfiguration(getScenario(cliScenario))
+      return
+    } catch (err) {
+      console.warn(`[Config] Warning: ${err.message}. Falling back to default.`)
+    }
+  }
+
+  if (cliConfig && fs.existsSync(cliConfig)) {
+    try {
+      console.log(`[Config] Loading configuration from: ${cliConfig}`)
+      const raw = fs.readFileSync(cliConfig, 'utf-8')
+      applyConfiguration(JSON.parse(raw))
+      return
+    } catch (err) {
+      console.warn(`[Config] Failed to load config from ${cliConfig}: ${err.message}`)
+    }
+  }
+
+  if (fs.existsSync(DEFAULT_CONFIG_FILE)) {
+    try {
+      console.log(`[Config] Found local ${DEFAULT_CONFIG_FILE}, loading...`)
+      const raw = fs.readFileSync(DEFAULT_CONFIG_FILE, 'utf-8')
+      applyConfiguration(JSON.parse(raw))
+      return
+    } catch (err) {
+      console.warn(`[Config] Failed to parse ${DEFAULT_CONFIG_FILE}: ${err.message}`)
+    }
+  }
+
+  // Fallback to default scenario
+  applyConfiguration(getScenario('default'))
+}
+
+initializeState()
+
+// Automatically progress queued jobs over time
+setInterval(() => {
+  for (const job of state.jobs) {
+    if (job.job_state === 'Scheduled') {
+      // Find suitable node if available
+      const pool = state.pools.find(
+        (p) => p.accelerator === job.accelerator && p.ready && (p.available === null || p.available > 0),
+      )
+      if (pool) {
+        job.job_state = 'InProgress'
+        job.node = pool.node
+        job.message = `Pod running on ${job.node}`
+        const logs = state.jobLogs.get(job.id) || `[${new Date().toISOString()}] Job submitted.\n`
+        state.jobLogs.set(
+          job.id,
+          logs + `[${new Date().toISOString()}] Admitted to cluster. Initializing pod on ${job.node}...\n`,
+        )
+      }
+    } else if (job.job_state === 'InProgress') {
+      const elapsed = Date.now() - new Date(job.created).getTime()
+      if (elapsed > 20000 && !job.id.startsWith('job-hl-run')) {
+        job.job_state = 'Success'
+        job.exit_code = 0
+        job.message = 'Job completed successfully'
+        job.can_cancel = false
+        const logs = state.jobLogs.get(job.id) || ''
+        state.jobLogs.set(
+          job.id,
+          logs + `[${new Date().toISOString()}] Execution finished with code 0.\nOutputs saved.\n`,
+        )
+        if (!state.jobFiles.has(job.id)) {
+          state.jobFiles.set(job.id, [
+            { path: 'output.log', size: 2048, modified: new Date().toISOString() },
+            { path: 'model_weights.bin', size: 52428800, modified: new Date().toISOString() },
+          ])
+        }
+      }
+    }
+  }
+}, 5000)
+
+// --- Helper Functions ---
+
+function parseJSONBody(req) {
+  return new Promise((resolve, reject) => {
+    let data = ''
+    req.on('data', (chunk) => {
+      data += chunk
+      if (data.length > 50 * 1024 * 1024) {
+        req.destroy()
+        reject(new Error('Request payload too large'))
+      }
+    })
+    req.on('end', () => {
+      if (!data.trim()) return resolve({})
+      try {
+        resolve(JSON.parse(data))
+      } catch (err) {
+        reject(new Error('Malformed JSON: ' + err.message))
+      }
+    })
+    req.on('error', reject)
+  })
+}
+
+function sendJSON(res, statusCode, payload) {
+  const body = JSON.stringify(payload)
+  res.writeHead(statusCode, {
+    'Content-Type': 'application/json',
+    'Content-Length': Buffer.byteLength(body),
+    'Access-Control-Allow-Origin': '*',
+    'Access-Control-Allow-Methods': 'GET, POST, PATCH, DELETE, OPTIONS',
+    'Access-Control-Allow-Headers': 'Content-Type, X-Mist-Team, Authorization',
+  })
+  res.end(body)
+}
+
+function sendError(res, statusCode, message) {
+  sendJSON(res, statusCode, { error: message })
+}
+
+// --- Request Router ---
+
+const server = http.createServer(async (req, res) => {
+  // CORS Preflight
+  if (req.method === 'OPTIONS') {
+    res.writeHead(204, {
+      'Access-Control-Allow-Origin': '*',
+      'Access-Control-Allow-Methods': 'GET, POST, PATCH, DELETE, OPTIONS',
+      'Access-Control-Allow-Headers': 'Content-Type, X-Mist-Team, Authorization',
+      'Access-Control-Max-Age': '86400',
+    })
+    res.end()
+    return
+  }
+
+  const parsedUrl = new URL(req.url, `http://${req.headers.host || 'localhost'}`)
+  let pathname = parsedUrl.pathname
+  const query = Object.fromEntries(parsedUrl.searchParams.entries())
+  const activeTeam = req.headers['x-mist-team'] || query.team_id || ''
+
+  // Normalize path by stripping optional '/api' prefix
+  if (pathname.startsWith('/api/')) {
+    pathname = pathname.slice(4)
+  } else if (pathname === '/api') {
+    pathname = '/'
+  }
+
+  const currentUser = state.users[state.currentUserIndex] || null
+
+  try {
+    // ----------------------------------------------------
+    // FAKE BACKEND DYNAMIC CONFIGURATION & SCENARIO CONTROL
+    // ----------------------------------------------------
+
+    if (pathname === '/_fake/state' && req.method === 'GET') {
+      sendJSON(res, 200, {
+        activeScenario: state.activeScenario,
+        currentUserIndex: state.currentUserIndex,
+        currentUser,
+        users: state.users,
+        machines: state.machines,
+        pools: state.pools,
+        storage: state.storage,
+        storageBudgetGiB: state.storageBudgetGiB,
+        teams: state.teams,
+        jobs: state.jobs,
+        datasets: state.datasets,
+      })
+      return
+    }
+
+    if ((pathname === '/_fake/state' || pathname === '/_fake/configure') && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      applyConfiguration(body)
+      sendJSON(res, 200, {
+        success: true,
+        message: 'Configuration applied successfully',
+        activeScenario: state.activeScenario,
+      })
+      return
+    }
+
+    if (pathname === '/_fake/scenarios' && req.method === 'GET') {
+      sendJSON(res, 200, {
+        scenarios: Object.entries(SCENARIO_DESCRIPTIONS).map(([name, description]) => ({
+          name,
+          description,
+          active: state.activeScenario === name,
+        })),
+      })
+      return
+    }
+
+    const scenarioMatch = pathname.match(/^\/_fake\/scenario\/([^/]+)$/)
+    if (scenarioMatch && req.method === 'POST') {
+      const name = scenarioMatch[1]
+      try {
+        const scenarioData = getScenario(name)
+        applyConfiguration(scenarioData)
+        sendJSON(res, 200, {
+          success: true,
+          scenario: name,
+          message: `Switched to hypothetical scenario: '${name}'`,
+        })
+      } catch (err) {
+        sendError(res, 400, err.message)
+      }
+      return
+    }
+
+    if (pathname === '/_fake/reset' && req.method === 'POST') {
+      const defaultData = getScenario('default')
+      applyConfiguration(defaultData)
+      sendJSON(res, 200, { success: true, message: 'Reset to default scenario' })
+      return
+    }
+
+    // ----------------------------------------------------
+    // AUTH & SESSION ENDPOINTS
+    // ----------------------------------------------------
+
+    if (pathname === '/session' && req.method === 'GET') {
+      sendJSON(res, 200, {
+        enabled: true,
+        user: currentUser,
+      })
+      return
+    }
+
+    if (pathname === '/auth/get-session' && req.method === 'GET') {
+      if (!currentUser) {
+        sendJSON(res, 200, null)
+      } else {
+        sendJSON(res, 200, {
+          user: currentUser,
+          session: {
+            id: 'sess_' + currentUser.id,
+            userId: currentUser.id,
+            expiresAt: new Date(Date.now() + 86400000).toISOString(),
+          },
+        })
+      }
+      return
+    }
+
+    if (pathname === '/auth/sign-in/email' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      const user = state.users.find(
+        (u) => u.email.toLowerCase() === (body.email || '').toLowerCase(),
+      )
+      if (!user) {
+        sendJSON(res, 401, {
+          error: { message: 'Invalid credentials or user not found' },
+        })
+        return
+      }
+      if (user.banned) {
+        sendJSON(res, 403, {
+          error: { message: 'Account is deactivated' },
+        })
+        return
+      }
+      state.currentUserIndex = state.users.findIndex((u) => u.id === user.id)
+      sendJSON(res, 200, {
+        user,
+        session: {
+          id: 'sess_' + user.id,
+          userId: user.id,
+          expiresAt: new Date(Date.now() + 86400000).toISOString(),
+        },
+      })
+      return
+    }
+
+    if (pathname === '/auth/sign-out' && req.method === 'POST') {
+      state.currentUserIndex = -1 // signed out
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    if (pathname === '/auth/change-password' && req.method === 'POST') {
+      await parseJSONBody(req)
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    if (
+      (pathname === '/auth/admin/list-users' || pathname === '/auth/admin/listUsers') &&
+      (req.method === 'GET' || req.method === 'POST')
+    ) {
+      sendJSON(res, 200, {
+        users: state.users,
+        total: state.users.length,
+      })
+      return
+    }
+
+    if (pathname === '/auth/admin/create-user' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      if (!body.name || !body.email) {
+        sendError(res, 400, 'Name and email are required')
+        return
+      }
+      const newUser = {
+        id: 'usr_' + crypto.randomBytes(4).toString('hex'),
+        name: body.name,
+        email: body.email,
+        role: body.role || 'user',
+        banned: false,
+      }
+      state.users.push(newUser)
+      sendJSON(res, 200, { user: newUser })
+      return
+    }
+
+    if (pathname === '/auth/admin/set-user-password' && req.method === 'POST') {
+      await parseJSONBody(req)
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    if (pathname === '/auth/admin/revoke-user-sessions' && req.method === 'POST') {
+      await parseJSONBody(req)
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    if (pathname === '/auth/admin/ban-user' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      const target = state.users.find((u) => u.id === body.userId)
+      if (target) target.banned = true
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    if (pathname === '/auth/admin/unban-user' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      const target = state.users.find((u) => u.id === body.userId)
+      if (target) target.banned = false
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    // ----------------------------------------------------
+    // HARDWARE & IMAGES ENDPOINTS
+    // ----------------------------------------------------
+
+    if (pathname === '/hardware' && req.method === 'GET') {
+      sendJSON(res, 200, {
+        observed_at: new Date().toISOString(),
+        machines: state.machines,
+        pools: state.pools,
+      })
+      return
+    }
+
+    if (pathname === '/images' && req.method === 'GET') {
+      sendJSON(res, 200, state.images)
+      return
+    }
+
+    // ----------------------------------------------------
+    // TEAMS ENDPOINTS
+    // ----------------------------------------------------
+
+    if (pathname === '/teams' && req.method === 'GET') {
+      sendJSON(res, 200, {
+        teams: state.teams,
+        storage_budget_gib: state.storageBudgetGiB,
+      })
+      return
+    }
+
+    if (pathname === '/teams' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      const newTeam = {
+        id: 'team-' + (body.name || 'unnamed').toLowerCase().replace(/\W+/g, '-'),
+        name: body.name || 'New Team',
+        disabled: false,
+        policy: {
+          cpu: '8',
+          memory: '32Gi',
+          nvidia: 1,
+          tenstorrent: 2,
+          concurrent: 2,
+          queued: 10,
+          storage_gib: Number(body.storage_gib || 200),
+          model_storage_gib: Number(body.model_storage_gib || 500),
+          runtime_seconds: 86400,
+          registries: ['docker.io', 'ghcr.io'],
+        },
+        members: currentUser
+          ? [
+              {
+                id: currentUser.id,
+                name: currentUser.name,
+                email: currentUser.email,
+                common_writer: true,
+              },
+            ]
+          : [],
+        grants: [],
+      }
+      state.teams.push(newTeam)
+      sendJSON(res, 200, newTeam)
+      return
+    }
+
+    const teamMatch = pathname.match(/^\/teams\/([^/]+)$/)
+    if (teamMatch && req.method === 'PATCH') {
+      const teamId = teamMatch[1]
+      const team = state.teams.find((t) => t.id === teamId)
+      if (!team) return sendError(res, 404, 'Team not found')
+      const body = await parseJSONBody(req)
+      if (body.name !== undefined) team.name = body.name
+      if (body.disabled !== undefined) team.disabled = body.disabled
+      if (body.policy !== undefined) team.policy = { ...team.policy, ...body.policy }
+      sendJSON(res, 200, team)
+      return
+    }
+
+    const teamMembersMatch = pathname.match(/^\/teams\/([^/]+)\/members$/)
+    if (teamMembersMatch && req.method === 'POST') {
+      const teamId = teamMembersMatch[1]
+      const team = state.teams.find((t) => t.id === teamId)
+      if (!team) return sendError(res, 404, 'Team not found')
+      const body = await parseJSONBody(req)
+      const user = state.users.find((u) => u.id === body.user_id)
+      if (!user) return sendError(res, 404, 'User not found')
+      const existing = team.members.find((m) => m.id === user.id)
+      if (existing) {
+        existing.common_writer = !!body.common_writer
+      } else {
+        team.members.push({
+          id: user.id,
+          name: user.name,
+          email: user.email,
+          common_writer: !!body.common_writer,
+        })
+      }
+      sendJSON(res, 200, team)
+      return
+    }
+
+    const teamMemberDeleteMatch = pathname.match(/^\/teams\/([^/]+)\/members\/([^/]+)$/)
+    if (teamMemberDeleteMatch && req.method === 'DELETE') {
+      const teamId = teamMemberDeleteMatch[1]
+      const userId = decodeURIComponent(teamMemberDeleteMatch[2])
+      const team = state.teams.find((t) => t.id === teamId)
+      if (!team) return sendError(res, 404, 'Team not found')
+      team.members = team.members.filter((m) => m.id !== userId)
+      sendJSON(res, 200, team)
+      return
+    }
+
+    const teamGrantsMatch = pathname.match(/^\/teams\/([^/]+)\/grants$/)
+    if (teamGrantsMatch && req.method === 'POST') {
+      const teamId = teamGrantsMatch[1]
+      const team = state.teams.find((t) => t.id === teamId)
+      if (!team) return sendError(res, 404, 'Team not found')
+      const body = await parseJSONBody(req)
+      const newGrant = {
+        id: 'grant-' + crypto.randomBytes(3).toString('hex'),
+        target_team: body.target_team,
+        scope: body.scope || 'common',
+      }
+      team.grants.push(newGrant)
+      sendJSON(res, 200, team)
+      return
+    }
+
+    const teamGrantDeleteMatch = pathname.match(/^\/teams\/([^/]+)\/grants\/([^/]+)$/)
+    if (teamGrantDeleteMatch && req.method === 'DELETE') {
+      const teamId = teamGrantDeleteMatch[1]
+      const grantId = teamGrantDeleteMatch[2]
+      const team = state.teams.find((t) => t.id === teamId)
+      if (!team) return sendError(res, 404, 'Team not found')
+      team.grants = team.grants.filter((g) => g.id !== grantId)
+      sendJSON(res, 200, team)
+      return
+    }
+
+    // ----------------------------------------------------
+    // JOBS ENDPOINTS
+    // ----------------------------------------------------
+
+    if (pathname === '/jobs' && req.method === 'GET') {
+      let filtered = state.jobs
+      if (activeTeam) {
+        filtered = filtered.filter((j) => j.team_id === activeTeam)
+      }
+      sendJSON(res, 200, {
+        jobs: filtered,
+        count: filtered.length,
+      })
+      return
+    }
+
+    if (pathname === '/jobs' && req.method === 'POST') {
+      const body = await parseJSONBody(req)
+      const jobId = 'job-' + crypto.randomBytes(4).toString('hex')
+      const newJob = {
+        id: jobId,
+        name: body.name || `Experiment ${jobId}`,
+        created: new Date().toISOString(),
+        job_state: 'Scheduled',
+        accelerator: body.accelerator || 'cpu',
+        device_count: body.device_count || (body.accelerator === 'cpu' ? 0 : 1),
+        image: body.image || 'docker.io/library/python:3.11-slim',
+        cpu: body.cpu || '2',
+        memory: body.memory || '4Gi',
+        message: 'Job submitted; awaiting placement',
+        checkpoint_directory: `/outputs/checkpoints/${jobId}`,
+        output_directory: `/outputs/runs/${jobId}`,
+        working_directory: body.working_directory || '/workspace',
+        timeout_seconds: body.timeout_seconds || 3600,
+        team_id: activeTeam || 'legacy',
+        creator_id: currentUser?.id || 'usr_anonymous',
+        creator_name: currentUser?.name || 'Local Developer',
+        storage_scope: body.storage_scope || currentUser?.id || 'common',
+        can_cancel: true,
+      }
+      state.jobs.unshift(newJob)
+      state.jobLogs.set(
+        jobId,
+        `[${newJob.created}] Job created: ${newJob.name}\n[${newJob.created}] Image: ${newJob.image}\n[${newJob.created}] Queueing job on Kubernetes admission controller...\n`,
+      )
+      sendJSON(res, 200, {
+        job_id: jobId,
+        job: newJob,
+      })
+      return
+    }
+
+    const jobCancelMatch = pathname.match(/^\/jobs\/([^/]+)\/cancel$/)
+    if (jobCancelMatch && req.method === 'POST') {
+      const jobId = decodeURIComponent(jobCancelMatch[1])
+      const job = state.jobs.find((j) => j.id === jobId)
+      if (!job) return sendError(res, 404, 'Job not found')
+      job.job_state = 'Cancelled'
+      job.message = 'Cancelled by user'
+      job.can_cancel = false
+      const logs = state.jobLogs.get(jobId) || ''
+      state.jobLogs.set(
+        jobId,
+        logs + `[${new Date().toISOString()}] Job cancelled by user.\n`,
+      )
+      sendJSON(res, 200, job)
+      return
+    }
+
+    const jobLogsMatch = pathname.match(/^\/jobs\/([^/]+)\/logs$/)
+    if (jobLogsMatch && req.method === 'GET') {
+      const jobId = decodeURIComponent(jobLogsMatch[1])
+      const logs = state.jobLogs.get(jobId) || 'No logs recorded for this job yet.'
+      sendJSON(res, 200, { logs })
+      return
+    }
+
+    const jobFilesMatch = pathname.match(/^\/jobs\/([^/]+)\/files$/)
+    if (jobFilesMatch && req.method === 'GET') {
+      const jobId = decodeURIComponent(jobFilesMatch[1])
+      const files = state.jobFiles.get(jobId) || []
+      sendJSON(res, 200, { files })
+      return
+    }
+
+    const jobDownloadMatch = pathname.match(/^\/jobs\/([^/]+)\/files\/download$/)
+    if (jobDownloadMatch && req.method === 'GET') {
+      const filePath = query.path || 'output.txt'
+      res.writeHead(200, {
+        'Content-Type': 'text/plain; charset=utf-8',
+        'Content-Disposition': `attachment; filename="${filePath.split('/').pop()}"`,
+        'Access-Control-Allow-Origin': '*',
+      })
+      res.end(`[Mock file content for ${filePath} from job]`)
+      return
+    }
+
+    // ----------------------------------------------------
+    // STORAGE & DATASETS ENDPOINTS
+    // ----------------------------------------------------
+
+    if (pathname === '/storage' && req.method === 'GET') {
+      sendJSON(res, 200, state.storage)
+      return
+    }
+
+    if (pathname === '/storage/folders' && req.method === 'GET') {
+      const folders = []
+      for (const t of state.teams) {
+        folders.push({
+          team_id: t.id,
+          team_name: t.name,
+          scope: 'common',
+          name: 'Common Space',
+          shared: false,
+          writable: true,
+        })
+        for (const m of t.members) {
+          folders.push({
+            team_id: t.id,
+            team_name: t.name,
+            scope: m.id,
+            name: `${m.name}'s Folder`,
+            shared: false,
+            writable: m.id === currentUser?.id,
+          })
+        }
+      }
+      sendJSON(res, 200, { folders })
+      return
+    }
+
+    if (pathname === '/storage/files' && req.method === 'GET') {
+      if (query.download === 'true') {
+        const filePath = query.path || 'downloaded-file.dat'
+        res.writeHead(200, {
+          'Content-Type': 'application/octet-stream',
+          'Content-Disposition': `attachment; filename="${filePath.split('/').pop()}"`,
+          'Access-Control-Allow-Origin': '*',
+        })
+        res.end(`[Mock content of ${filePath} in team ${query.source_team}]`)
+        return
+      }
+      sendJSON(res, 200, {
+        files: [
+          {
+            path: 'data/train_manifest.json',
+            size: 15360,
+            modified: new Date(Date.now() - 7200000).toISOString(),
+          },
+          {
+            path: 'models/model_final.pt',
+            size: 89128960,
+            modified: new Date(Date.now() - 3600000).toISOString(),
+          },
+        ],
+      })
+      return
+    }
+
+    if (pathname === '/datasets' && req.method === 'GET') {
+      let filtered = state.datasets
+      if (activeTeam) {
+        filtered = filtered.filter((d) => !d.team_id || d.team_id === activeTeam)
+      }
+      sendJSON(res, 200, {
+        datasets: filtered,
+        upload_limit_bytes: state.storage.upload_limit_bytes || 5368709120,
+      })
+      return
+    }
+
+    if (pathname === '/datasets' && req.method === 'POST') {
+      const filename = query.filename || 'dataset.bin'
+      const name = query.name || filename
+      const scope = query.scope || currentUser?.id || 'common'
+      const activeTeamObj = state.teams.find((t) => t.id === activeTeam)
+
+      let totalBytes = 0
+      req.on('data', (chunk) => {
+        totalBytes += chunk.length
+      })
+
+      req.on('end', () => {
+        const newDs = {
+          id: 'ds-' + crypto.randomBytes(4).toString('hex'),
+          name,
+          filename,
+          size: totalBytes || 1048576,
+          files: query.format === 'zip' ? 12 : 1,
+          sha256: crypto.randomBytes(32).toString('hex'),
+          created: new Date().toISOString(),
+          state: 'ready',
+          team_id: activeTeam || 'legacy',
+          team_name: activeTeamObj?.name || 'Legacy Workspace',
+          scope,
+          member_name: currentUser?.name || 'Local Pilot',
+          shared: false,
+        }
+        state.datasets.unshift(newDs)
+        sendJSON(res, 200, newDs)
+      })
+      return
+    }
+
+    const datasetDeleteMatch = pathname.match(/^\/datasets\/([^/]+)$/)
+    if (datasetDeleteMatch && req.method === 'DELETE') {
+      const datasetId = datasetDeleteMatch[1]
+      state.datasets = state.datasets.filter((d) => d.id !== datasetId)
+      sendJSON(res, 200, { success: true })
+      return
+    }
+
+    const datasetFilesMatch = pathname.match(/^\/datasets\/([^/]+)\/files$/)
+    if (datasetFilesMatch && req.method === 'GET') {
+      sendJSON(res, 200, {
+        files: [
+          {
+            path: 'metadata.json',
+            size: 2048,
+            modified: new Date().toISOString(),
+          },
+          {
+            path: 'samples/sample_001.png',
+            size: 45056,
+            modified: new Date().toISOString(),
+          },
+        ],
+      })
+      return
+    }
+
+    const datasetDownloadMatch = pathname.match(/^\/datasets\/([^/]+)\/files\/download$/)
+    if (datasetDownloadMatch && req.method === 'GET') {
+      const filePath = query.path || 'dataset-file.dat'
+      res.writeHead(200, {
+        'Content-Type': 'application/octet-stream',
+        'Content-Disposition': `attachment; filename="${filePath.split('/').pop()}"`,
+        'Access-Control-Allow-Origin': '*',
+      })
+      res.end(`[Mock content of dataset file ${filePath}]`)
+      return
+    }
+
+    if (pathname === '/healthz' && req.method === 'GET') {
+      sendJSON(res, 200, { status: 'ok', executor: 'fake-backend' })
+      return
+    }
+
+    sendError(res, 404, `Endpoint not found: ${req.method} ${pathname}`)
+  } catch (err) {
+    console.error('[Fake Backend Error]', err)
+    sendError(res, 500, 'Internal Server Error: ' + err.message)
+  }
+})
+
+server.listen(PORT, HOST, () => {
+  console.log(`======================================================`)
+  console.log(`Mist Fake Backend running at http://${HOST}:${PORT}`)
+  console.log(`Active Scenario: '${state.activeScenario}'`)
+  console.log(`Simulated User:  ${state.users[state.currentUserIndex]?.name} (${state.users[state.currentUserIndex]?.role})`)
+  console.log(`Machines:        ${state.machines.map((m) => m.name).join(', ')}`)
+  console.log(`Teams:           ${state.teams.map((t) => t.name).join(', ')}`)
+  console.log(`Jobs:            ${state.jobs.length} in history`)
+  console.log(`Run 'node scripts/configure-fake-backend.mjs' to modify`)
+  console.log(`======================================================`)
+})
+
+process.on('SIGINT', () => {
+  server.close(() => {
+    console.log('\nFake backend stopped.')
+    process.exit(0)
+  })
+})
diff --git a/web-interface/package.json b/web-interface/package.json
index dbb88b7..0783ac3 100644
--- a/web-interface/package.json
+++ b/web-interface/package.json
@@ -14,6 +14,8 @@
     "preview": "vite preview",
     "test": "vitest run",
     "lint": "eslint",
+    "fake-backend": "node ../scripts/fake-backend.mjs",
+    "configure-fake-backend": "node ../scripts/configure-fake-backend.mjs",
     "format": "prettier --check .",
     "check": "prettier --write . && eslint --fix"
   },
diff --git a/web-interface/pnpm-lock.yaml b/web-interface/pnpm-lock.yaml
new file mode 100644
index 0000000..08effeb
--- /dev/null
+++ b/web-interface/pnpm-lock.yaml
@@ -0,0 +1,4599 @@
+lockfileVersion: '9.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+importers:
+
+  .:
+    dependencies:
+      '@tailwindcss/vite':
+        specifier: ^4.1.18
+        version: 4.3.3(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+      '@tanstack/react-devtools':
+        specifier: latest
+        version: 0.10.13(@types/react-dom@19.3.0(@types/react@19.3.0))(@types/react@19.3.0)(csstype@3.2.3)(react-dom@19.3.1(react@19.3.1))(react@19.3.1)(solid-js@1.9.17)
+      '@tanstack/react-router':
+        specifier: latest
+        version: 1.170.45(react-dom@19.3.1(react@19.3.1))(react@19.3.1)
+      '@tanstack/react-router-devtools':
+        specifier: latest
+        version: 1.167.2(@tanstack/react-router@1.170.45(react-dom@19.3.1(react@19.3.1))(react@19.3.1))(@tanstack/router-core@1.171.38)(csstype@3.2.3)(react-dom@19.3.1(react@19.3.1))(react@19.3.1)
+      '@tanstack/router-plugin':
+        specifier: ^1.132.0
+        version: 1.168.47(@tanstack/react-router@1.170.45(react-dom@19.3.1(react@19.3.1))(react@19.3.1))(esbuild@0.28.2)(rollup@4.64.7)(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+      better-auth:
+        specifier: 1.7.7
+        version: 1.7.7(react-dom@19.3.1(react@19.3.1))(react@19.3.1)(solid-js@1.9.17)(vitest@5.0.5(@types/node@22.20.5)(jsdom@28.1.0(@noble/hashes@2.4.0))(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0)))
+      lucide-react:
+        specifier: ^0.545.0
+        version: 0.545.0(react@19.3.1)
+      react:
+        specifier: ^19.2.0
+        version: 19.3.1
+      react-dom:
+        specifier: ^19.2.0
+        version: 19.3.1(react@19.3.1)
+      tailwindcss:
+        specifier: ^4.1.18
+        version: 4.3.3
+    devDependencies:
+      '@tailwindcss/typography':
+        specifier: ^0.5.16
+        version: 0.5.20(tailwindcss@4.3.3)
+      '@tanstack/devtools-vite':
+        specifier: latest
+        version: 0.8.5(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+      '@tanstack/eslint-config':
+        specifier: latest
+        version: 0.4.0(@typescript-eslint/utils@8.71.2(eslint@10.13.0(jiti@2.7.0))(typescript@5.9.3))(eslint@10.13.0(jiti@2.7.0))(typescript@5.9.3)
+      '@testing-library/dom':
+        specifier: ^10.4.1
+        version: 10.4.2
+      '@testing-library/react':
+        specifier: ^16.3.0
+        version: 16.3.3(@testing-library/dom@10.4.2)(@types/react-dom@19.3.0(@types/react@19.3.0))(@types/react@19.3.0)(react-dom@19.3.1(react@19.3.1))(react@19.3.1)
+      '@types/node':
+        specifier: ^22.10.2
+        version: 22.20.5
+      '@types/react':
+        specifier: ^19.2.0
+        version: 19.3.0
+      '@types/react-dom':
+        specifier: ^19.2.0
+        version: 19.3.0(@types/react@19.3.0)
+      '@vitejs/plugin-react':
+        specifier: ^5.1.4
+        version: 5.2.0(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+      jsdom:
+        specifier: ^28.1.0
+        version: 28.1.0(@noble/hashes@2.4.0)
+      prettier:
+        specifier: ^3.8.1
+        version: 3.9.10
+      typescript:
+        specifier: ^5.7.2
+        version: 5.9.3
+      vite:
+        specifier: ^7.3.1
+        version: 7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0)
+      vite-tsconfig-paths:
+        specifier: ^5.1.4
+        version: 5.1.4(typescript@5.9.3)(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+      vitest:
+        specifier: ^5.0.3
+        version: 5.0.5(@types/node@22.20.5)(jsdom@28.1.0(@noble/hashes@2.4.0))(vite@7.3.7(@types/node@22.20.5)(jiti@2.7.0)(lightningcss@1.32.0))
+
+packages:
+
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+  whatwg-mimetype@5.0.0: {}
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