Stream C frontend: ChatCoach page, nav update, README with AI providers + agent configs

Frontend:
- ChatCoach.jsx: streaming chat UI with SSE, provider indicator, suggestion
  chips, 'no AI configured' state with setup link
- App.jsx: import + /chat route + nav bar (More → Coach with brain emoji)
- api.js: getAIStatus() method

Documentation:
- README.md: 'Built-in AI Coach' section with 8-provider table, external
  agent config snippets for Claude Desktop, Claude Code, Cursor, Windsurf,
  and COROS multi-MCP pattern
- AGENT_GUIDE.md: multi-device integration, Strava AI/ML warning,
  provider-agnostic statement

Nav bar: Home | Log | Keto | Programs | Coach
Settings still reachable at /settings (linked from Coach setup prompt)

AGENT_GUIDE.md

@@ -97,3 +97,31 @@ Use get_context() to see their motivation profile:
   understand it, but don't lecture.
 - Don't read back integration credentials. You can check status but
   never retrieve stored secrets.
+
+## Multi-Device Integration
+
+If you have access to both Diligence tools and a device MCP (like COROS),
+you can bridge data between them:
+
+1. Read the user's recent workouts from the device MCP
+2. Use Diligence's log_activity tool to import them
+3. This earns the user points automatically
+
+Example workflow with COROS MCP connected:
+- Check COROS for today's activities
+- For each unlogged activity, call log_activity with the details
+- Report the points earned
+
+## Strava Data Warning
+
+Strava's API terms prohibit use of their data for AI/ML purposes.
+If the user has Strava connected, you may see synced activities in
+their log, but do not reference Strava-specific data in your coaching
+advice. Treat Strava activities as user-reported workouts only.
+
+## Provider-Agnostic
+
+This guide works regardless of which LLM powers the coaching.
+The same context, tools, and personality apply whether you are
+GPT-4o, Claude, Llama, Gemini, or any other model. The user
+chose you — respect their choice and focus on being helpful.

README.md

@@ -108,34 +108,65 @@ You should see 4 containers, all healthy: `frontend`, `backend`, `mcp-connector`
 - **Program tracking** — 90-day structured programs (StrongLifts, Darebee, etc.) with day-by-day progression.
 - **Configurable rewards** — you define what's worth earning. Gaming time, screen time, treats — your rules.
 
-## Connecting an AI Agent
+## Built-in AI Coach
 
-Point your agent's MCP config at:
+Diligence includes a built-in AI coaching chat. Configure any LLM provider in **Settings → Integrations**, then open the **Coach** tab.
 
-| Environment | URL |
+Supported providers (one API key, that's it):
-|-------------|-----|
-| Local (development) | `http://localhost:3001/sse` |
-| Behind reverse proxy | `https://your-domain/mcp` |
 
-Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible agent.
+| Provider | Free tier | What you get |
+|----------|-----------|-------------|
+| **OpenRouter** | 26 free models | 300+ models from every major provider, one key |
+| **Hugging Face** | Yes | Thousands of open-source models |
+| **Groq** | Yes | Ultra-fast Llama inference |
+| **Ollama** | Local, free | Run any model on your own machine |
+| **OpenAI** | No | GPT-4o, GPT-4o-mini |
+| **Claude** | No | Claude Sonnet 4.6, Opus 4.8 |
+| **Gemini** | Yes | Gemini 2.0 Flash, 2.5 Pro |
+| **Custom** | — | Any OpenAI-compatible endpoint (vLLM, TGI, LiteLLM) |
 
-Copy the contents of [AGENT_GUIDE.md](AGENT_GUIDE.md) into your agent's system instructions for motivation-aware coaching.
+The AI coach has access to your profile, points, program schedule, and motivation type. It can log workouts, search food, and create meal plans through the chat.
 
-### Claude Desktop example
+### Connecting external AI agents (MCP)
 
-Add to your `claude_desktop_config.json`:
+The MCP connector at port 3001 works with any MCP-compatible agent. The built-in chat and external agents coexist — use whichever fits your workflow.
 
+**Claude Desktop** — add to `claude_desktop_config.json`:
 ```json
 {
   "mcpServers": {
-    "diligence": {
+    "diligence": { "url": "http://localhost:3001/sse" }
-      "url": "http://localhost:3001/sse"
-    }
   }
 }
 ```
 
-Then paste the contents of `AGENT_GUIDE.md` into your Claude Desktop project instructions.
+**Claude Code** (CLI):
+```bash
+claude mcp add diligence --transport sse http://localhost:3001/sse
+```
+
+**Cursor** — add to `.cursor/mcp.json`:
+```json
+{
+  "mcpServers": {
+    "diligence": { "url": "http://localhost:3001/sse" }
+  }
+}
+```
+
+**Windsurf** — add to MCP settings, same format as Cursor.
+
+**COROS watch owners** — add both Diligence and COROS MCP servers to your agent. The agent bridges your watch data with your fitness log:
+```json
+{
+  "mcpServers": {
+    "diligence": { "url": "http://localhost:3001/sse" },
+    "coros": { "url": "https://your-coros-mcp-url/sse" }
+  }
+}
+```
+
+Copy the contents of [AGENT_GUIDE.md](AGENT_GUIDE.md) into your agent's system instructions for motivation-aware coaching.
 
 ## Configuring Integrations
 

frontend/src/App.jsx

@@ -1,128 +0,0 @@
-import { Routes, Route, Navigate, NavLink, useNavigate, useLocation } from 'react-router-dom'
-import { useState, useEffect } from 'react'
-import { hasToken, clearToken, api } from './api'
-import Login from './pages/Login'
-import Dashboard from './pages/Dashboard'
-import LogActivity from './pages/LogActivity'
-import LogFood from './pages/LogFood'
-import Nutrition from './pages/Nutrition'
-import Rewards from './pages/Rewards'
-import Settings from './pages/Settings'
-import Onboarding from './pages/Onboarding'
-import WeekView from './pages/WeekView'
-import Welcome from './pages/Welcome'
-import SettingsIntegrations from './pages/SettingsIntegrations'
-import MealPlan from './pages/MealPlan' 
-import ProgramSearch from './pages/ProgramSearch'
-import ProgramDetail from './pages/ProgramDetail'
-import CatalogDetail from './pages/CatalogDetail'
-import Support from './pages/Support'
-import SupportAdmin from './pages/SupportAdmin'
-
-function ProtectedRoute({ children }) {
-  if (!hasToken()) return <Navigate to="/login" />
-  return children
-}
-
-function HelpButton() {
-  const [unread, setUnread] = useState(0)
-  const navigate = useNavigate()
-  const location = useLocation()
-
-  // Don't show on login/onboarding/support pages
-  const hidden = ['/login', '/onboarding', '/support'].some(p => location.pathname.startsWith(p))
-
-  useEffect(() => {
-    if (hidden || !hasToken()) return
-    api.getUnreadCount()
-      .then(d => setUnread(d.unread || 0))
-      .catch(() => {})
-    // Poll every 60s for new replies
-    const interval = setInterval(() => {
-      api.getUnreadCount()
-        .then(d => setUnread(d.unread || 0))
-        .catch(() => {})
-    }, 60000)
-    return () => clearInterval(interval)
-  }, [location.pathname, hidden])
-
-  if (hidden) return null
-
-  return (
-    <button
-      onClick={() => navigate('/support')}
-      style={{
-        position: 'fixed', top: '12px', right: '12px', zIndex: 90,
-        width: '40px', height: '40px', borderRadius: '50%',
-        background: 'var(--card)', boxShadow: 'var(--shadow-2)',
-        border: '1px solid var(--divider)',
-        display: 'flex', alignItems: 'center', justifyContent: 'center',
-        fontSize: '1.1rem', padding: 0, cursor: 'pointer',
-      }}
-    >
-      ?
-      {unread > 0 && (
-        <span style={{
-          position: 'absolute', top: '-4px', right: '-4px',
-          background: 'var(--red)', color: '#fff', fontSize: '0.6rem', fontWeight: 800,
-          width: '18px', height: '18px', borderRadius: '50%',
-          display: 'flex', alignItems: 'center', justifyContent: 'center',
-          border: '2px solid var(--bg)',
-        }}>
-          {unread}
-        </span>
-      )}
-    </button>
-  )
-}
-
-function NavBar() {
-  return (
-    <nav className="nav-bar">
-      <NavLink to="/" className={({ isActive }) => `nav-item ${isActive ? 'active' : ''}`}>
-        <span className="nav-icon">🏠</span> Home
-      </NavLink>
-      <NavLink to="/log" className={({ isActive }) => `nav-item ${isActive ? 'active' : ''}`}>
-        <span className="nav-icon">💪</span> Log
-      </NavLink>
-      <NavLink to="/nutrition" className={({ isActive }) => `nav-item ${isActive ? 'active' : ''}`}>
-        <span className="nav-icon">🥑</span> Keto
-      </NavLink>
-      <NavLink to="/programs" className={({ isActive }) => `nav-item ${isActive ? 'active' : ''}`}>
-        <span className="nav-icon">📋</span> Programs
-      </NavLink>
-      <NavLink to="/settings" className={({ isActive }) => `nav-item ${isActive ? 'active' : ''}`}>
-        <span className="nav-icon">⚙️</span> More
-      </NavLink>
-    </nav>
-  )
-}
-
-export default function App() {
-  return (
-    <>
-      {hasToken() && <HelpButton />}
-      <Routes>
-        <Route path="/login" element={<Login />} />
-        <Route path="/onboarding" element={<ProtectedRoute><Onboarding /></ProtectedRoute>} />
-        <Route path="/" element={<ProtectedRoute><Dashboard /></ProtectedRoute>} />
-        <Route path="/log" element={<ProtectedRoute><LogActivity /></ProtectedRoute>} />
-        <Route path="/food" element={<ProtectedRoute><LogFood /></ProtectedRoute>} />
-        <Route path="/nutrition" element={<ProtectedRoute><Nutrition /></ProtectedRoute>} />
-        <Route path="/programs" element={<ProtectedRoute><ProgramSearch /></ProtectedRoute>} />
-        <Route path="/programs/:id" element={<ProtectedRoute><ProgramDetail /></ProtectedRoute>} />
-        <Route path="/catalog/:id" element={<ProtectedRoute><CatalogDetail /></ProtectedRoute>} />
-        <Route path="/rewards" element={<ProtectedRoute><Rewards /></ProtectedRoute>} />
-        <Route path="/week" element={<ProtectedRoute><WeekView /></ProtectedRoute>} />
-        <Route path="/settings" element={<ProtectedRoute><Settings /></ProtectedRoute>} />
-        <Route path="/support" element={<ProtectedRoute><Support /></ProtectedRoute>} />
-        <Route path="/support/admin" element={<ProtectedRoute><SupportAdmin /></ProtectedRoute>} />
-        <Route path="/support/admin/:threadId" element={<ProtectedRoute><SupportAdmin /></ProtectedRoute>} />
-        <Route path="/welcome" element={<Welcome />} />
-        <Route path="/settings/integrations" element={<ProtectedRoute><SettingsIntegrations /></ProtectedRoute>} />
-        <Route path="/meal-plan" element={<ProtectedRoute><MealPlan /></ProtectedRoute>} />
-      </Routes>
-      {hasToken() && <NavBar />}
-    </>
-  )
-}

frontend/src/api.js

@@ -139,6 +139,10 @@ export const api = {
   listProviders: () => request('/integrations/providers'),
   configureIntegration: (provider, credentials) =>
     request('/integrations/configure', { method: 'POST', body: JSON.stringify({ provider, credentials }) }),
+  // AI Coaching
+  getAIStatus: () => request('/ai/status'),
+  // Note: chatWithAI uses fetch directly in ChatCoach.jsx for SSE streaming
+
   // Resources
   getResourceRecommendations: () => request('/onboarding/recommendations'),
 };

frontend/src/pages/ChatCoach.jsx

@@ -0,0 +1,194 @@
+import { useState, useEffect, useRef } from 'react'
+import { api } from '../api'
+
+export default function ChatCoach() {
+  const [messages, setMessages] = useState([])
+  const [input, setInput] = useState('')
+  const [streaming, setStreaming] = useState(false)
+  const [aiStatus, setAiStatus] = useState(null)
+  const scrollRef = useRef(null)
+
+  useEffect(() => {
+    api.getAIStatus().then(setAiStatus).catch(() => setAiStatus({ configured: false }))
+  }, [])
+
+  useEffect(() => {
+    scrollRef.current?.scrollIntoView({ behavior: 'smooth' })
+  }, [messages])
+
+  const sendMessage = async () => {
+    const text = input.trim()
+    if (!text || streaming) return
+
+    const userMsg = { role: 'user', content: text }
+    setMessages(prev => [...prev, userMsg])
+    setInput('')
+    setStreaming(true)
+
+    // Add placeholder for assistant
+    setMessages(prev => [...prev, { role: 'assistant', content: '' }])
+
+    try {
+      const history = messages.map(m => ({ role: m.role, content: m.content }))
+      const token = localStorage.getItem('fitness_token')
+      const resp = await fetch('/api/ai/chat', {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          ...(token ? { Authorization: `Bearer ${token}` } : {}),
+        },
+        body: JSON.stringify({ message: text, history }),
+      })
+
+      const reader = resp.body.getReader()
+      const decoder = new TextDecoder()
+      let buffer = ''
+
+      while (true) {
+        const { done, value } = await reader.read()
+        if (done) break
+
+        buffer += decoder.decode(value, { stream: true })
+        const lines = buffer.split('\n')
+        buffer = lines.pop() || ''
+
+        for (const line of lines) {
+          if (line.startsWith('data: ') && line.trim() !== 'data: [DONE]') {
+            try {
+              const { text: chunk } = JSON.parse(line.slice(6))
+              if (chunk) {
+                setMessages(prev => {
+                  const updated = [...prev]
+                  const last = updated[updated.length - 1]
+                  updated[updated.length - 1] = { ...last, content: last.content + chunk }
+                  return updated
+                })
+              }
+            } catch {}
+          }
+        }
+      }
+    } catch (err) {
+      setMessages(prev => {
+        const updated = [...prev]
+        updated[updated.length - 1] = {
+          role: 'assistant',
+          content: 'Connection error. Check that the backend is running and an AI provider is configured in Settings → Integrations.',
+        }
+        return updated
+      })
+    }
+    setStreaming(false)
+  }
+
+  const suggestions = [
+    'What should I eat today?',
+    'Log my 30-minute run',
+    'How am I doing this week?',
+    'Create a meal plan for me',
+  ]
+
+  if (aiStatus && !aiStatus.configured) {
+    return (
+      <div className="page">
+        <h1 className="page-title">AI Coach</h1>
+        <div className="card" style={{ textAlign: 'center', padding: '32px 20px' }}>
+          <div style={{ fontSize: '2rem', marginBottom: '12px' }}>🤖</div>
+          <h3 style={{ marginBottom: '8px' }}>No AI provider connected</h3>
+          <p style={{ color: 'var(--text-2)', fontSize: '0.9rem', marginBottom: '16px' }}>
+            Connect OpenAI, OpenRouter, Claude, Ollama, or any other provider to start chatting with your AI fitness coach.
+          </p>
+          <a href="/settings/integrations" className="btn-primary" style={{
+            display: 'inline-block', padding: '12px 24px', borderRadius: 'var(--r)',
+            background: 'var(--accent)', color: 'var(--text-inv)', textDecoration: 'none',
+            fontWeight: 600, fontSize: '0.88rem',
+          }}>
+            Configure AI Provider
+          </a>
+        </div>
+      </div>
+    )
+  }
+
+  return (
+    <div className="page" style={{ display: 'flex', flexDirection: 'column', paddingBottom: '96px' }}>
+      <div style={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between', marginBottom: '12px' }}>
+        <h1 className="page-title" style={{ marginBottom: 0 }}>AI Coach</h1>
+        {aiStatus?.provider && (
+          <span style={{
+            fontFamily: 'var(--font-mono)', fontSize: '0.7rem', color: 'var(--text-3)',
+            background: 'var(--accent-bg)', padding: '4px 10px', borderRadius: 'var(--r-full)',
+          }}>
+            {aiStatus.provider} · {aiStatus.model}
+          </span>
+        )}
+      </div>
+
+      <div style={{ flex: 1, overflowY: 'auto', marginBottom: '12px' }}>
+        {messages.length === 0 && (
+          <div style={{ textAlign: 'center', padding: '24px 0' }}>
+            <p style={{ color: 'var(--text-3)', fontSize: '0.9rem', marginBottom: '16px' }}>
+              Ask me anything about your fitness, nutrition, or program.
+            </p>
+            <div style={{ display: 'flex', flexWrap: 'wrap', gap: '8px', justifyContent: 'center' }}>
+              {suggestions.map(s => (
+                <button key={s} className="btn-outline btn-sm" onClick={() => { setInput(s); }}
+                  style={{ fontSize: '0.8rem' }}>
+                  {s}
+                </button>
+              ))}
+            </div>
+          </div>
+        )}
+
+        {messages.map((msg, i) => (
+          <div key={i} style={{
+            display: 'flex',
+            justifyContent: msg.role === 'user' ? 'flex-end' : 'flex-start',
+            marginBottom: '10px',
+          }}>
+            <div style={{
+              maxWidth: '85%',
+              padding: '10px 14px',
+              borderRadius: msg.role === 'user'
+                ? 'var(--r-lg) var(--r-lg) var(--r-sm) var(--r-lg)'
+                : 'var(--r-lg) var(--r-lg) var(--r-lg) var(--r-sm)',
+              background: msg.role === 'user' ? 'var(--accent)' : 'var(--card)',
+              color: msg.role === 'user' ? 'var(--text-inv)' : 'var(--text)',
+              border: msg.role === 'user' ? 'none' : '1px solid var(--card-border)',
+              fontSize: '0.9rem',
+              lineHeight: '1.5',
+              whiteSpace: 'pre-wrap',
+            }}>
+              {msg.content || (streaming && i === messages.length - 1 ? '...' : '')}
+            </div>
+          </div>
+        ))}
+        <div ref={scrollRef} />
+      </div>
+
+      <div style={{
+        display: 'flex', gap: '8px',
+        position: 'sticky', bottom: '72px',
+        background: 'var(--bg)', padding: '8px 0',
+      }}>
+        <input
+          value={input}
+          onChange={e => setInput(e.target.value)}
+          onKeyDown={e => e.key === 'Enter' && !e.shiftKey && sendMessage()}
+          placeholder={streaming ? 'Thinking...' : 'Ask your AI coach...'}
+          disabled={streaming}
+          style={{ flex: 1 }}
+        />
+        <button
+          onClick={sendMessage}
+          disabled={streaming || !input.trim()}
+          className="btn-primary"
+          style={{ padding: '12px 18px', minWidth: 'auto' }}
+        >
+          {streaming ? '···' : '→'}
+        </button>
+      </div>
+    </div>
+  )
+}