merge: hardening/apr-week3 → master (v0.13-ai-coaching)

AI coaching panel:
- 3-zone panel: summary card, rule-driven suggestions, contextual chat
- Structured JSON responses via Output.object schema enforcement
- Suggestions below chat, no raw JSON during streaming
- P360 tab toggle removed — single coaching surface
- Design spec + implementation plan committed

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

docs/plans/2026-04-17-ai-coaching-panel.md

@@ -0,0 +1,140 @@
+# AI Coaching Panel Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Replace the AI chat panel with a three-zone coaching surface — structured summary card, rule-driven suggestions with scripts, and contextual chat with progressive suggestion updates.
+
+**Architecture:** CallerContextService (already built) pre-fetches caller data into Redis. Rules engine evaluates caller facts against seeded suggestion rules, producing triggers. AI system prompt includes caller context + suggestion triggers + structured output instructions. Every AI response returns `{ message, suggestions }` JSON. Frontend parses and renders across three zones.
+
+**Tech Stack:** React 19 + Tailwind (frontend), NestJS + Vercel AI SDK + json-rules-engine + Redis (sidecar), FontAwesome Pro icons
+
+---
+
+## File Structure
+
+### Sidecar (helix-engage-server)
+
+| File | Responsibility |
+|------|----------------|
+| `src/rules-engine/suggestion-rules.ts` | NEW: Default suggestion rule definitions + evaluator function |
+| `src/caller/caller-context.service.ts` | MODIFY: Add suggestion evaluation, render suggestions for prompt |
+| `src/ai/ai-chat.controller.ts` | MODIFY: Inject suggestion rules into system prompt |
+| `src/config/ai.defaults.ts` | MODIFY: Update ccAgentHelper prompt with structured JSON output format |
+
+### Frontend (helix-engage)
+
+| File | Responsibility |
+|------|----------------|
+| `src/components/call-desk/ai-summary-card.tsx` | NEW: Zone 1 patient profile card |
+| `src/components/call-desk/ai-suggestions.tsx` | NEW: Zone 2 suggestion pills with expand/script/tell-me-more |
+| `src/components/call-desk/ai-chat-panel.tsx` | REWRITE: Orchestrates 3 zones, parses structured JSON responses |
+| `src/components/call-desk/context-panel.tsx` | MODIFY: Remove P360 tab toggle, single surface |
+| `src/pages/rules-settings.tsx` | MODIFY: Display suggestion rules in Automations tab |
+
+---
+
+## Task 1: Suggestion Rules Engine (Sidecar)
+
+**Files:**
+- Create: `helix-engage-server/src/rules-engine/suggestion-rules.ts`
+- Modify: `helix-engage-server/src/caller/caller-context.service.ts`
+
+- [ ] **Step 1:** Create `suggestion-rules.ts` with types (`SuggestionType`, `SuggestionPriority`, `SuggestionTrigger`), department-to-package mapping, cross-sell mapping, and `evaluateSuggestionRules(facts)` function that evaluates 5 default rules: (1) package upsell by department, (2) reschedule missed appointments, (3) cross-sell related departments, (4) first-visit health checkup, (5) returning patient re-engagement. Max 4 triggers returned. Also export `SUGGESTION_RULE_DEFINITIONS` array for Settings UI display.
+
+- [ ] **Step 2:** In `caller-context.service.ts`, add `suggestionTriggers: SuggestionTrigger[]` to the `CallerContext` type. Import `evaluateSuggestionRules`. Call it in the `build()` method after fetching all data, passing caller facts (isNew, appointments, calls, interestedService, contactAttempts, leadSource, utmCampaign). Add `renderSuggestionsForPrompt(triggers)` method that formats triggers for the AI system prompt.
+
+- [ ] **Step 3:** Build and verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 4:** Commit: `feat: suggestion rules engine + caller context evaluation`
+
+---
+
+## Task 2: Structured Output in AI System Prompt (Sidecar)
+
+**Files:**
+- Modify: `helix-engage-server/src/config/ai.defaults.ts`
+- Modify: `helix-engage-server/src/ai/ai-chat.controller.ts`
+
+- [ ] **Step 1:** In `ai.defaults.ts`, append structured output instructions to `CC_AGENT_HELPER_DEFAULT` template. The AI must respond with valid JSON: `{"message": "...", "suggestions": [{"id", "type", "title", "script", "priority"}]}`. Rules: always include suggestions on first response, update on subsequent, no markdown in message field, max 4 suggestions, personalized scripts using caller's name/doctor/department.
+
+- [ ] **Step 2:** In `ai-chat.controller.ts` stream endpoint, after the caller context injection block, inject suggestion rules: `if (callerCtx.suggestionTriggers?.length) systemPrompt += this.callerContext.renderSuggestionsForPrompt(callerCtx.suggestionTriggers)`
+
+- [ ] **Step 3:** Build and verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 4:** Commit: `feat: structured JSON output + suggestion rules in AI system prompt`
+
+---
+
+## Task 3: AI Summary Card Component (Frontend)
+
+**Files:**
+- Create: `helix-engage/src/components/call-desk/ai-summary-card.tsx`
+
+- [ ] **Step 1:** Create Zone 1 component. Props: `caller: CallerSummary | null`. Renders: patient avatar + name + NEW/RETURNING badge, phone number, 2-line AI summary (line-clamped), source + campaign badges, compact appointment pills (next upcoming with green bg, last completed with gray bg). For null caller: centered placeholder text. Uses Badge component, FontAwesome icons (faUser, faCalendarCheck, faPhone).
+
+- [ ] **Step 2:** Verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 3:** Commit: `feat: AI summary card component (Zone 1)`
+
+---
+
+## Task 4: Suggestions Component (Frontend)
+
+**Files:**
+- Create: `helix-engage/src/components/call-desk/ai-suggestions.tsx`
+
+- [ ] **Step 1:** Create Zone 2 component. Props: `suggestions: Suggestion[]`, `onTellMeMore: (suggestion) => void`. Exports `Suggestion` type (id, type, title, script, priority). Renders: collapsible section header "Suggestions (N)", list of compact pill cards. Each pill: type icon (faArrowUp/faTag/faRotate/faClipboardCheck), title, priority dot (red/yellow/green). Click toggles expand with script text + "Tell me more" link. Collapse/expand toggle for entire section.
+
+- [ ] **Step 2:** Verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 3:** Commit: `feat: AI suggestions component (Zone 2)`
+
+---
+
+## Task 5: Rewrite AI Chat Panel (Frontend)
+
+**Files:**
+- Rewrite: `helix-engage/src/components/call-desk/ai-chat-panel.tsx`
+
+- [ ] **Step 1:** Rewrite to orchestrate 3 zones. New props: `callerSummary?: CallerSummary | null`. Adds `suggestions` state managed from parsed AI responses. `parseAiResponse(content)` extracts `{ message, suggestions }` from JSON, falls back to raw text on parse failure. Zone 1: AiSummaryCard (not shown for supervisor). Zone 2: AiSuggestions with `onTellMeMore` that appends "Tell me more about X" as chat message. Zone 3: chat with `displayMessages` that strips JSON wrapper showing only the message field. Auto-fire kept. Supervisor mode unchanged (quick actions, no summary/suggestions). Keep existing MessageContent + parseLine helpers.
+
+- [ ] **Step 2:** Verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 3:** Commit: `feat: rewrite AI chat panel — 3-zone coaching surface`
+
+---
+
+## Task 6: Wire Context Panel (Frontend)
+
+**Files:**
+- Modify: `helix-engage/src/components/call-desk/context-panel.tsx`
+
+- [ ] **Step 1:** Remove P360 tab toggle (activeTab state, tab buttons, P360 sections — appointments list, call history list, follow-ups list). Build `callerSummary` object from `selectedLead` + `appointments` data: name, phone, isNew, aiSummary, leadSource, utmCampaign, nextAppointment (first SCHEDULED after now), lastAppointment (first COMPLETED). Pass `callerSummary` to AiChatPanel as new prop. Single surface — AiChatPanel is the only content.
+
+- [ ] **Step 2:** Verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 3:** Commit: `feat: remove P360 toggle, single coaching surface`
+
+---
+
+## Task 7: Settings UI — Suggestion Rules Display
+
+**Files:**
+- Modify: `helix-engage/src/pages/rules-settings.tsx`
+
+- [ ] **Step 1:** Add `SUGGESTION_RULES` array (5 items: name, category, description, enabled) to the Automations tab. Render below existing automation rules with "AI Suggestions" subheading. Same card pattern: category badge, name, description, enabled/disabled dot. All enabled, read-only.
+
+- [ ] **Step 2:** Verify: `npx tsc --noEmit` exits 0
+
+- [ ] **Step 3:** Commit: `feat: display suggestion rules in Settings > Automations`
+
+---
+
+## Task 8: Build, Deploy, Test
+
+- [ ] **Step 1:** Build sidecar: `cd helix-engage-server && npm run build`
+- [ ] **Step 2:** Build frontend: `cd helix-engage && npm run build`
+- [ ] **Step 3:** Deploy sidecar to ECR + pull on EC2
+- [ ] **Step 4:** Deploy frontend to EC2 via rsync + restart Caddy
+- [ ] **Step 5:** Test on Tauri: rebuild frontend with Global URL, launch, trigger call. Verify: Zone 1 summary card, Zone 2 suggestions from rules, click expand shows script, "Tell me more" sends to chat, progressive suggestion updates, server logs show cache hits and no tool calls for patient data
+- [ ] **Step 6:** Final commit and push both repos

docs/specs/2026-04-17-ai-coaching-panel-design.md

@@ -0,0 +1,188 @@
+# AI Coaching Panel — Design Spec
+
+## Goal
+
+Replace the current AI chat panel with a proactive coaching surface that shows structured patient summaries, rule-driven upsell/cross-sell/retention suggestions with clickable scripts, and a contextual chat — all in the existing 400px right-hand panel.
+
+## Architecture
+
+Single scrollable panel, three zones. No tabs or toggles. Caller context pre-fetched and cached in Redis (CallerContextService). Rules engine produces suggestion triggers. AI renders triggers into natural language scripts. Every AI response includes updated suggestions (progressive).
+
+## Panel Layout
+
+### Zone 1 — Summary Card (pinned top, ~120px)
+
+- Patient name, age, gender, patient type badge (NEW / RETURNING)
+- 2-line AI summary (from `aiSummary` field on lead record)
+- Campaign badge + source tag (e.g., "Cervical Cancer Screening Drive" / "Google")
+- Compact appointment pills: next upcoming appointment (date + doctor), last completed (date + outcome)
+- Renders from CallerContextService data — no AI call needed for this zone
+
+For new callers (no lead/patient): shows phone number, "New Caller" badge, and a prompt to collect name.
+
+### Zone 2 — Suggestions (collapsible, below summary)
+
+- 2-4 suggestion pills as compact cards
+- Each pill: type icon (tag/arrow-up/rotate-cw), one-line title, priority dot (high/medium/low)
+- Click expands inline with a 2-3 sentence ready-to-read script
+- Expanded state has a "Tell me more" link that sends the suggestion as a chat message
+- Suggestions refresh with every AI response (progressive)
+- Collapse/expand toggle for the entire section ("Suggestions (3)")
+
+Suggestion types:
+- **upsell** — premium packages, add-on services
+- **crosssell** — related services in other departments
+- **retention** — reschedule missed appointments, follow up on lapsed visits
+- **operational** — fasting reminders, insurance docs, directions
+
+### Zone 3 — Chat (fills remaining space)
+
+- Streaming chat, same UX as today
+- Agent types questions or clicks "Tell me more" from a suggestion
+- Each AI response may include updated suggestions (Zone 2 refreshes)
+- Quick action pills at bottom, contextual to conversation state
+- Auto-fires patient summary on call connect (existing behavior, kept)
+
+## Structured AI Response Format
+
+Every AI response is structured JSON (not free-form text):
+
+```json
+{
+  "message": "Priya Sharma is a returning patient...",
+  "suggestions": [
+    {
+      "id": "s1",
+      "type": "upsell",
+      "title": "Cardiac Wellness Package",
+      "script": "Since you're already seeing Dr. Lakshmi for cardiology, we have a comprehensive cardiac wellness package...",
+      "priority": "high"
+    },
+    {
+      "id": "s2",
+      "type": "retention",
+      "title": "Reschedule missed appointment",
+      "script": "I see your last appointment on April 10th was rescheduled. Would you like me to book a new slot?",
+      "priority": "medium"
+    }
+  ]
+}
+```
+
+The `message` field renders as a chat bubble in Zone 3. The `suggestions` array replaces the current set in Zone 2. If `suggestions` is empty or absent, Zone 2 retains the previous set.
+
+The initial auto-fired response includes the summary message + first set of suggestions. Subsequent responses update suggestions based on conversation context.
+
+## Rules Engine to AI Prompt Pipeline
+
+### Step 1: Rules evaluation
+
+CallerContextService already builds the caller facts (appointments, campaigns, call history, lead status, interested service). The rules engine evaluates these facts against configured suggestion rules.
+
+Each rule produces a raw trigger:
+```json
+{
+  "type": "upsell",
+  "product": "cardiac-wellness-package",
+  "reason": "Patient has cardiology appointment, no wellness package booked",
+  "priority": "high"
+}
+```
+
+### Step 2: Prompt injection
+
+Raw triggers are appended to the system prompt as a `SUGGESTION RULES` section:
+
+```
+SUGGESTION RULES (from business configuration):
+Based on this caller's profile, the following suggestions should be offered.
+Generate a natural, conversational script for each that the agent can read aloud.
+Return them in the `suggestions` array of your JSON response.
+
+1. [upsell/high] Cardiac Wellness Package — patient has cardiology appointment, no wellness package booked
+2. [retention/medium] Reschedule missed appointment — last appointment was rescheduled, no new booking
+```
+
+### Step 3: AI generates scripts
+
+The AI turns the raw triggers into conversational scripts using the caller's context (name, history, doctor, department). Scripts are personalized, not templated.
+
+### Step 4: Seeded rules
+
+Default suggestion rules seeded in the rules engine config:
+- Package upsell by department (cardiology → cardiac wellness, ortho → physio package)
+- Reschedule missed/cancelled appointments
+- Cross-sell related departments (ortho → physio, cardio → dietician)
+- First-visit patient: suggest health checkup package
+- Returning patient with no recent visit: re-engagement prompt
+
+These rules are displayed read-only in Settings > Automations tab (same card pattern as existing automation rules — visible but not editable in v1).
+
+## Data Flow
+
+```
+Call arrives
+  -> CallerResolutionController.resolve()
+    -> CallerContextService.prewarm() (parallel fetch + Redis cache)
+  -> Frontend auto-fires AI chat
+    -> POST /api/ai/stream
+      -> buildCallerContext() — Redis cache hit
+      -> rulesEngine.evaluate(callerFacts) — produces suggestion triggers
+      -> buildSystemPrompt(KB + callerContext + suggestionRules + structuredOutputInstructions)
+      -> streamText() — AI returns structured JSON { message, suggestions }
+    -> Frontend parses response
+      -> Zone 1: summary card from CallerContextService (no AI needed)
+      -> Zone 2: suggestions from AI response
+      -> Zone 3: message as chat bubble
+
+Agent clicks "Tell me more" on a suggestion
+  -> Sent as chat message: "Tell me more about the Cardiac Wellness Package"
+  -> AI responds with detailed info + updated suggestions
+  -> Zone 2 refreshes with new suggestions
+
+Agent books appointment (via disposition/form)
+  -> System message injected into chat: "Agent booked appointment with Dr. Lakshmi on Apr 24"
+  -> Next AI response reflects the action + updates suggestions
+    (e.g., removes "reschedule" suggestion, adds "send appointment reminder via WhatsApp")
+```
+
+## Surface Area
+
+### Sidecar (helix-engage-server)
+
+| File | Change |
+|------|--------|
+| `ai-chat.controller.ts` | Add structured output instructions to system prompt. Add suggestion rules injection from rules engine. Parse/pass suggestion triggers. |
+| `caller-context.service.ts` | Add rules evaluation method that runs caller facts against suggestion rules. Return triggers alongside context. |
+| `rules-engine/` | Seed default suggestion rules (JSON config in Redis or file). |
+| `config/ai.defaults.ts` | Update `ccAgentHelper` prompt template with structured output format instructions and suggestion generation rules. |
+
+### Frontend (helix-engage)
+
+| File | Change |
+|------|--------|
+| NEW: `ai-summary-card.tsx` | Zone 1 — patient profile card rendered from CallerContextService data |
+| NEW: `ai-suggestions.tsx` | Zone 2 — suggestion pills with expand/collapse, script display, "Tell me more" |
+| REWRITE: `ai-chat-panel.tsx` | Orchestrates all 3 zones. Parses structured JSON responses. Manages suggestion state. Passes "Tell me more" clicks as chat messages. |
+| `context-panel.tsx` | Remove P360 tab toggle. Single surface — AI coaching panel is the only mode. |
+
+### No changes needed
+
+- `call-desk.tsx` — panel wrapper stays the same
+- `app-shell.tsx` — no changes
+- `CallerContextService` — already built, just add rules evaluation call
+- Frontend build pipeline — no new dependencies
+
+## What this replaces
+
+- P360 context tab (appointments, call history, follow-ups tables) — replaced by AI summary card
+- AI chat toggle — removed (single surface)
+- Tool-based patient lookups during chat — replaced by pre-fetched context in KB
+- Static quick action pills — replaced by rule-driven contextual suggestions
+
+## Out of scope for v1
+
+- Editable suggestion rules UI (shown read-only in Settings)
+- Supervisor AI coaching (different tool set, different panel)
+- Real-time transcript-driven suggestions (requires live call transcription)
+- Suggestion analytics (which suggestions agents click, conversion tracking)

src/components/call-desk/ai-chat-panel.tsx

@@ -1,9 +1,11 @@
 import type { ReactNode } from 'react';
-import { useRef, useEffect } from 'react';
+import { useState, useRef, useEffect, useCallback } from 'react';
 import { useThemeTokens } from '@/providers/theme-token-provider';
 import { useChat } from '@ai-sdk/react';
 import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
 import { faPaperPlaneTop, faSparkles, faUserHeadset } from '@fortawesome/pro-duotone-svg-icons';
+import { AiSummaryCard, type CallerSummary } from './ai-summary-card';
+import { AiSuggestions, type Suggestion } from './ai-suggestions';
 
 const API_URL = import.meta.env.VITE_API_URL ?? 'http://localhost:4100';
 
@@ -16,14 +18,10 @@ type CallerContext = {
 
 interface AiChatPanelProps {
     callerContext?: CallerContext;
+    callerSummary?: CallerSummary | null;
     onChatStart?: () => void;
 }
 
-// Supervisor has different quick-action prompts than the CC agent — they
-// ask about team metrics, not patient / doctor info. Hardcoded here rather
-// than in theme tokens because the prompts map 1:1 to the supervisor tool
-// set in ai-chat.controller.ts (get_agent_performance, get_call_summary,
-// get_campaign_stats) — changing the tools means changing these prompts.
 const SUPERVISOR_QUICK_ACTIONS = [
     { label: 'Agent performance', prompt: 'Show me agent performance this week.' },
     { label: 'Call summary', prompt: 'Summarize call activity this week.' },
@@ -33,27 +31,49 @@ const SUPERVISOR_QUICK_ACTIONS = [
 
 const SUPERVISOR_INTRO = 'Ask me about agent performance, call trends, or campaign stats.';
 
-export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) => {
+const parseAiResponse = (content: string): { message: string; suggestions: Suggestion[] } => {
+    const trimmed = content.trim();
+    try {
+        const parsed = JSON.parse(trimmed);
+        if (parsed.message) {
+            return {
+                message: parsed.message,
+                suggestions: Array.isArray(parsed.suggestions) ? parsed.suggestions : [],
+            };
+        }
+    } catch {}
+    return { message: content, suggestions: [] };
+};
+
+export const AiChatPanel = ({ callerContext, callerSummary, onChatStart }: AiChatPanelProps) => {
     const { tokens } = useThemeTokens();
     const isSupervisor = callerContext?.type === 'supervisor';
     const quickActions = isSupervisor ? SUPERVISOR_QUICK_ACTIONS : tokens.ai.quickActions;
     const introText = isSupervisor ? SUPERVISOR_INTRO : 'Ask me about doctors, clinics, packages, or patient info.';
     const messagesEndRef = useRef<HTMLDivElement>(null);
     const chatStartedRef = useRef(false);
+    const [suggestions, setSuggestions] = useState<Suggestion[]>([]);
 
     const token = localStorage.getItem('helix_access_token') ?? '';
 
     const { messages, input, handleSubmit, handleInputChange, isLoading, append, setMessages } = useChat({
         api: `${API_URL}/api/ai/stream`,
         streamProtocol: 'text',
-        headers: {
+        headers: { 'Authorization': `Bearer ${token}` },
-            'Authorization': `Bearer ${token}`,
+        body: { context: callerContext },
-        },
-        body: {
-            context: callerContext,
-        },
     });
 
+    useEffect(() => {
+        if (isLoading) return;
+        const lastAssistant = [...messages].reverse().find(m => m.role === 'assistant');
+        if (lastAssistant) {
+            const parsed = parseAiResponse(lastAssistant.content);
+            if (parsed.suggestions.length > 0) {
+                setSuggestions(parsed.suggestions);
+            }
+        }
+    }, [messages, isLoading]);
+
     useEffect(() => {
         const el = messagesEndRef.current;
         if (el?.parentElement) {
@@ -65,37 +85,27 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         }
     }, [messages, onChatStart]);
 
-    // Auto-fire a patient-summary request when a caller with a leadId appears
-    // on the panel. Resets whenever the caller changes (new incoming call) or
-    // the call ends (leadId clears), so each call starts fresh. The sidecar's
-    // AI agent inspects the leadId and replies with appointment/disposition/
-    // notes history when the caller is a returning patient.
     const autoFiredForLeadRef = useRef<string | null>(null);
     useEffect(() => {
         const leadId = callerContext?.leadId ?? null;
-
-        // Call ended or no caller — wipe the panel so the next caller's
-        // context doesn't bleed over and the agent isn't staring at a stale
-        // summary in the worklist view between calls.
         if (!leadId) {
             if (autoFiredForLeadRef.current !== null) {
                 autoFiredForLeadRef.current = null;
                 setMessages([]);
+                setSuggestions([]);
                 chatStartedRef.current = false;
             }
             return;
         }
-
         if (autoFiredForLeadRef.current === leadId) return;
-
-        // New caller — clear any prior chat state and fire the summary prompt.
         autoFiredForLeadRef.current = leadId;
         setMessages([]);
+        setSuggestions([]);
         chatStartedRef.current = false;
         const name = callerContext?.leadName ?? 'this caller';
         append({
             role: 'user',
-            content: `Give me a quick summary of ${name} — prior appointments, last disposition, any outstanding notes. If net-new, say so.`,
+            content: `Give me a quick summary of ${name} and suggest relevant actions for this call.`,
         });
     }, [callerContext?.leadId, callerContext?.leadName, append, setMessages]);
 
@@ -103,15 +113,37 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         append({ role: 'user', content: prompt });
     };
 
+    const handleTellMeMore = useCallback((suggestion: Suggestion) => {
+        append({
+            role: 'user',
+            content: `Tell me more about "${suggestion.title}" — give me a detailed script and any relevant details.`,
+        });
+    }, [append]);
+
+    // Filter out the currently-streaming assistant message (shows raw JSON).
+    // Only display completed assistant messages with parsed content.
+    const displayMessages = messages
+        .filter((msg, i) => {
+            if (msg.role === 'assistant' && isLoading && i === messages.length - 1) return false;
+            return true;
+        })
+        .map(msg => {
+            if (msg.role === 'assistant') {
+                const parsed = parseAiResponse(msg.content);
+                return { ...msg, content: parsed.message };
+            }
+            return msg;
+        });
+
     return (
-        <div className="flex h-full flex-col p-3">
+        <div className="flex h-full flex-col gap-2 p-3">
+            {!isSupervisor && <AiSummaryCard caller={callerSummary ?? null} />}
+
             <div className="flex-1 space-y-3 overflow-y-auto min-h-0">
-                {messages.length === 0 && (
+                {displayMessages.length === 0 && (
                     <div className="flex flex-col items-center justify-center py-6 text-center">
                         <FontAwesomeIcon icon={faSparkles} className="mb-2 size-6 text-fg-brand-primary" />
-                        <p className="text-xs text-tertiary">
+                        <p className="text-xs text-tertiary">{introText}</p>
-                            {introText}
-                        </p>
                         <div className="mt-3 flex flex-wrap justify-center gap-1.5">
                             {quickActions.map((action) => (
                                 <button
@@ -127,18 +159,11 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
                     </div>
                 )}
 
-                {messages.map((msg) => (
+                {displayMessages.map((msg) => (
-                    <div
+                    <div key={msg.id} className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}>
-                        key={msg.id}
+                        <div className={`max-w-[90%] rounded-xl px-3 py-2 text-xs leading-relaxed ${
-                        className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}
+                            msg.role === 'user' ? 'bg-brand-solid text-white' : 'bg-secondary text-primary'
-                    >
+                        }`}>
-                        <div
-                            className={`max-w-[90%] rounded-xl px-3 py-2 text-xs leading-relaxed ${
-                                msg.role === 'user'
-                                    ? 'bg-brand-solid text-white'
-                                    : 'bg-secondary text-primary'
-                            }`}
-                        >
                             {msg.role === 'assistant' && (
                                 <div className="mb-1 flex items-center gap-1">
                                     <FontAwesomeIcon icon={faSparkles} className="size-2.5 text-fg-brand-primary" />
@@ -165,7 +190,11 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
                 <div ref={messagesEndRef} />
             </div>
 
-            <form onSubmit={handleSubmit} className="mt-2 flex items-center gap-2 shrink-0">
+            {!isSupervisor && suggestions.length > 0 && (
+                <AiSuggestions suggestions={suggestions} onTellMeMore={handleTellMeMore} />
+            )}
+
+            <form onSubmit={handleSubmit} className="flex items-center gap-2 shrink-0">
                 <div className="flex flex-1 items-center rounded-lg border border-secondary bg-primary shadow-xs transition duration-100 ease-linear focus-within:border-brand focus-within:ring-4 focus-within:ring-brand-100">
                     <FontAwesomeIcon icon={faUserHeadset} className="ml-2.5 size-3.5 text-fg-quaternary" />
                     <input
@@ -188,20 +217,17 @@ export const AiChatPanel = ({ callerContext, onChatStart }: AiChatPanelProps) =>
         </div>
     );
 };
-// Tool result cards will be added in Phase 2 when SDK versions are aligned for data stream protocol
 
 const parseLine = (text: string): ReactNode[] => {
     const parts: ReactNode[] = [];
     const boldPattern = /\*\*(.+?)\*\*/g;
     let lastIndex = 0;
     let match: RegExpExecArray | null;
-
     while ((match = boldPattern.exec(text)) !== null) {
         if (match.index > lastIndex) parts.push(text.slice(lastIndex, match.index));
         parts.push(<strong key={match.index} className="font-semibold">{match[1]}</strong>);
         lastIndex = boldPattern.lastIndex;
     }
-
     if (lastIndex < text.length) parts.push(text.slice(lastIndex));
     return parts.length > 0 ? parts : [text];
 };
@@ -209,7 +235,6 @@ const parseLine = (text: string): ReactNode[] => {
 const MessageContent = ({ content }: { content: string }) => {
     if (!content) return null;
     const lines = content.split('\n');
-
     return (
         <div className="space-y-1">
             {lines.map((line, i) => {

src/components/call-desk/ai-suggestions.tsx

@@ -0,0 +1,102 @@
+import { useState } from 'react';
+import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
+import { faTag, faArrowUp, faRotate, faClipboardCheck, faChevronDown, faChevronUp } from '@fortawesome/pro-duotone-svg-icons';
+import { cx } from '@/utils/cx';
+
+export type Suggestion = {
+    id: string;
+    type: 'upsell' | 'crosssell' | 'retention' | 'operational';
+    title: string;
+    script: string;
+    priority: 'high' | 'medium' | 'low';
+};
+
+interface AiSuggestionsProps {
+    suggestions: Suggestion[];
+    onTellMeMore: (suggestion: Suggestion) => void;
+}
+
+const TYPE_ICONS = {
+    upsell: faArrowUp,
+    crosssell: faTag,
+    retention: faRotate,
+    operational: faClipboardCheck,
+};
+
+const PRIORITY_COLORS = {
+    high: 'bg-error-solid',
+    medium: 'bg-warning-solid',
+    low: 'bg-success-solid',
+};
+
+export const AiSuggestions = ({ suggestions, onTellMeMore }: AiSuggestionsProps) => {
+    const [collapsed, setCollapsed] = useState(false);
+    const [expandedId, setExpandedId] = useState<string | null>(null);
+
+    if (suggestions.length === 0) return null;
+
+    return (
+        <div className="rounded-xl border border-secondary bg-primary">
+            <button
+                onClick={() => setCollapsed(!collapsed)}
+                className="flex w-full items-center justify-between px-3 py-2 text-left"
+            >
+                <span className="text-[10px] font-semibold uppercase tracking-wider text-tertiary">
+                    Suggestions ({suggestions.length})
+                </span>
+                <FontAwesomeIcon
+                    icon={collapsed ? faChevronDown : faChevronUp}
+                    className="size-2.5 text-fg-quaternary"
+                />
+            </button>
+
+            {!collapsed && (
+                <div className="space-y-1 px-2 pb-2">
+                    {suggestions.map((s) => {
+                        const isExpanded = expandedId === s.id;
+                        return (
+                            <div
+                                key={s.id}
+                                className={cx(
+                                    'rounded-lg border transition duration-100 ease-linear',
+                                    isExpanded ? 'border-brand bg-brand-primary' : 'border-secondary hover:border-tertiary',
+                                )}
+                            >
+                                <button
+                                    onClick={() => setExpandedId(isExpanded ? null : s.id)}
+                                    className="flex w-full items-center gap-2 px-2.5 py-2 text-left"
+                                >
+                                    <FontAwesomeIcon
+                                        icon={TYPE_ICONS[s.type]}
+                                        className="size-3 text-fg-brand-secondary shrink-0"
+                                    />
+                                    <span className="flex-1 text-xs font-medium text-primary truncate">
+                                        {s.title}
+                                    </span>
+                                    <span className={cx('size-1.5 rounded-full shrink-0', PRIORITY_COLORS[s.priority])} />
+                                </button>
+
+                                {isExpanded && (
+                                    <div className="px-2.5 pb-2.5">
+                                        <p className="text-xs text-secondary leading-relaxed mb-2">
+                                            {s.script}
+                                        </p>
+                                        <button
+                                            onClick={(e) => {
+                                                e.stopPropagation();
+                                                onTellMeMore(s);
+                                            }}
+                                            className="text-[10px] font-medium text-brand-secondary hover:text-brand-primary transition"
+                                        >
+                                            Tell me more &rarr;
+                                        </button>
+                                    </div>
+                                )}
+                            </div>
+                        );
+                    })}
+                </div>
+            )}
+        </div>
+    );
+};

src/components/call-desk/ai-summary-card.tsx

@@ -0,0 +1,88 @@
+import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
+import { faUser, faCalendarCheck, faPhone } from '@fortawesome/pro-duotone-svg-icons';
+import { Badge } from '@/components/base/badges/badges';
+
+export type CallerSummary = {
+    name: string;
+    phone: string;
+    isNew: boolean;
+    aiSummary?: string | null;
+    leadSource?: string | null;
+    utmCampaign?: string | null;
+    nextAppointment?: { scheduledAt: string; doctorName: string; department: string } | null;
+    lastAppointment?: { scheduledAt: string; status: string; department: string } | null;
+};
+
+interface AiSummaryCardProps {
+    caller: CallerSummary | null;
+}
+
+const formatDate = (dateStr: string): string => {
+    const d = new Date(dateStr);
+    return d.toLocaleDateString('en-IN', { day: 'numeric', month: 'short' });
+};
+
+export const AiSummaryCard = ({ caller }: AiSummaryCardProps) => {
+    if (!caller) {
+        return (
+            <div className="rounded-xl border border-secondary bg-secondary_alt p-3">
+                <p className="text-xs text-quaternary text-center">Select a patient or receive a call</p>
+            </div>
+        );
+    }
+
+    return (
+        <div className="rounded-xl border border-secondary bg-secondary_alt p-3 space-y-2">
+            <div className="flex items-center gap-2">
+                <div className="flex size-8 shrink-0 items-center justify-center rounded-full bg-brand-primary">
+                    <FontAwesomeIcon icon={faUser} className="size-3 text-fg-brand-primary" />
+                </div>
+                <div className="min-w-0 flex-1">
+                    <div className="flex items-center gap-1.5">
+                        <span className="text-sm font-semibold text-primary truncate">{caller.name || caller.phone}</span>
+                        <Badge size="sm" color={caller.isNew ? 'brand' : 'success'} type="pill-color">
+                            {caller.isNew ? 'New' : 'Returning'}
+                        </Badge>
+                    </div>
+                    {caller.name && (
+                        <span className="text-[10px] text-tertiary">{caller.phone}</span>
+                    )}
+                </div>
+            </div>
+
+            {caller.aiSummary && (
+                <p className="text-xs text-secondary leading-relaxed line-clamp-2">{caller.aiSummary}</p>
+            )}
+
+            {(caller.leadSource || caller.utmCampaign) && (
+                <div className="flex flex-wrap gap-1">
+                    {caller.leadSource && (
+                        <Badge size="sm" color="gray" type="pill-color">{caller.leadSource}</Badge>
+                    )}
+                    {caller.utmCampaign && (
+                        <Badge size="sm" color="purple" type="pill-color">{caller.utmCampaign}</Badge>
+                    )}
+                </div>
+            )}
+
+            <div className="flex gap-2">
+                {caller.nextAppointment && (
+                    <div className="flex items-center gap-1.5 rounded-lg bg-success-primary px-2 py-1">
+                        <FontAwesomeIcon icon={faCalendarCheck} className="size-2.5 text-fg-success-primary" />
+                        <span className="text-[10px] font-medium text-success-primary">
+                            {formatDate(caller.nextAppointment.scheduledAt)} &middot; {caller.nextAppointment.doctorName}
+                        </span>
+                    </div>
+                )}
+                {caller.lastAppointment && (
+                    <div className="flex items-center gap-1.5 rounded-lg bg-secondary px-2 py-1">
+                        <FontAwesomeIcon icon={faPhone} className="size-2.5 text-fg-quaternary" />
+                        <span className="text-[10px] text-tertiary">
+                            Last: {formatDate(caller.lastAppointment.scheduledAt)} &middot; {caller.lastAppointment.status}
+                        </span>
+                    </div>
+                )}
+            </div>
+        </div>
+    );
+};

src/components/call-desk/context-panel.tsx

@@ -1,28 +1,13 @@
 import { useState, useCallback, useMemo } from 'react';
-import { useNavigate } from 'react-router';
-import { FontAwesomeIcon } from '@fortawesome/react-fontawesome';
-import {
-    faSparkles, faPhone, faChevronDown, faChevronUp,
-    faCalendarCheck, faClockRotateLeft, faPhoneMissed,
-    faPhoneArrowDown, faPhoneArrowUp, faListCheck,
-} from '@fortawesome/pro-duotone-svg-icons';
 import { AiChatPanel } from './ai-chat-panel';
-import { Badge } from '@/components/base/badges/badges';
+import type { Appointment } from '@/types/entities';
-import { formatPhone, formatShortDate } from '@/lib/format';
-import { cx } from '@/utils/cx';
-import type { LeadActivity, Call, FollowUp, Patient, Appointment } from '@/types/entities';
 import { AppointmentForm } from './appointment-form';
 
-// The context panel can render for any worklist item — not just leads.
-// Missed calls and follow-ups provide a subset of the fields (phone +
-// patientId + name) without a full Lead entity. ContextPanelSubject
-// captures the minimum the panel needs to render P360.
 export type ContextPanelSubject = {
     id: string;
     contactName?: { firstName: string; lastName: string } | null;
     contactPhone?: Array<{ number: string; callingCode: string }> | null;
     patientId?: string | null;
-    // Lead-specific fields — present when the subject IS a lead
     leadSource?: string | null;
     leadStatus?: string | null;
     aiSummary?: string | null;
@@ -33,55 +18,17 @@ export type ContextPanelSubject = {
 
 interface ContextPanelProps {
     selectedLead: ContextPanelSubject | null;
-    activities: LeadActivity[];
+    activities: any[];
-    calls: Call[];
+    calls: any[];
-    followUps: FollowUp[];
+    followUps: any[];
     appointments: Appointment[];
-    patients: Patient[];
+    patients: any[];
     callerPhone?: string;
     isInCall?: boolean;
     callUcid?: string | null;
 }
 
-const formatTimeAgo = (dateStr: string): string => {
+export const ContextPanel = ({ selectedLead, appointments, callerPhone }: ContextPanelProps) => {
-    const minutes = Math.round((Date.now() - new Date(dateStr).getTime()) / 60000);
-    if (minutes < 1) return 'Just now';
-    if (minutes < 60) return `${minutes}m ago`;
-    const hours = Math.floor(minutes / 60);
-    if (hours < 24) return `${hours}h ago`;
-    return `${Math.floor(hours / 24)}d ago`;
-};
-
-const formatDuration = (sec: number): string => {
-    if (sec < 60) return `${sec}s`;
-    return `${Math.floor(sec / 60)}m ${sec % 60}s`;
-};
-
-const SectionHeader = ({ icon, label, count, expanded, onToggle }: {
-    icon: any; label: string; count?: number; expanded: boolean; onToggle: () => void;
-}) => (
-    <button
-        onClick={onToggle}
-        className="flex w-full items-center gap-1.5 py-1.5 text-left group"
-    >
-        <FontAwesomeIcon icon={icon} className="size-3 text-fg-quaternary" />
-        <span className="text-[11px] font-bold uppercase tracking-wider text-tertiary">{label}</span>
-        {count !== undefined && count > 0 && (
-            <span className="text-[10px] font-semibold text-brand-secondary bg-brand-primary px-1.5 py-0.5 rounded-full">{count}</span>
-        )}
-        <FontAwesomeIcon
-            icon={expanded ? faChevronUp : faChevronDown}
-            className="size-2.5 text-fg-quaternary ml-auto opacity-0 group-hover:opacity-100 transition duration-100 ease-linear"
-        />
-    </button>
-);
-
-export const ContextPanel = ({ selectedLead, activities, calls, followUps, appointments, patients, callerPhone, isInCall }: ContextPanelProps) => {
-    const navigate = useNavigate();
-    const [contextExpanded, setContextExpanded] = useState(true);
-    const [insightExpanded, setInsightExpanded] = useState(true);
-    const [actionsExpanded, setActionsExpanded] = useState(true);
-    const [recentExpanded, setRecentExpanded] = useState(true);
     const [editingAppointment, setEditingAppointment] = useState<Appointment | null>(null);
 
     const lead = selectedLead;
@@ -96,21 +43,6 @@ export const ContextPanel = ({ selectedLead, activities, calls, followUps, appoi
         leadName: fullName,
     } : callerPhone ? { callerPhone } : undefined;
 
-    // Filter data for this lead
-    const leadCalls = useMemo(() =>
-        calls.filter(c => c.leadId === lead?.id || (callerPhone && c.callerNumber?.[0]?.number?.endsWith(callerPhone)))
-            .sort((a, b) => new Date(b.createdAt).getTime() - new Date(a.createdAt).getTime())
-            .slice(0, 5),
-        [calls, lead, callerPhone],
-    );
-
-    const leadFollowUps = useMemo(() =>
-        followUps.filter(f => f.patientId === lead?.patientId && f.followUpStatus !== 'COMPLETED' && f.followUpStatus !== 'CANCELLED')
-            .sort((a, b) => new Date(a.scheduledAt ?? '').getTime() - new Date(b.scheduledAt ?? '').getTime())
-            .slice(0, 3),
-        [followUps, lead],
-    );
-
     const leadAppointments = useMemo(() => {
         const patientId = lead?.patientId;
         if (!patientId) return [];
@@ -120,29 +52,9 @@ export const ContextPanel = ({ selectedLead, activities, calls, followUps, appoi
             .slice(0, 3);
     }, [appointments, lead]);
 
-    const leadActivities = useMemo(() =>
+    const handleChatStart = useCallback(() => {}, []);
-        activities.filter(a => a.leadId === lead?.id)
-            .sort((a, b) => new Date(b.occurredAt ?? '').getTime() - new Date(a.occurredAt ?? '').getTime())
-            .slice(0, 5),
-        [activities, lead],
-    );
 
-    // Linked patient
+    // Edit mode takes over the whole right panel
-    const linkedPatient = useMemo(() =>
-        patients.find(p => p.id === lead?.patientId),
-        [patients, lead],
-    );
-
-    // Auto-collapse context sections when chat starts
-    const handleChatStart = useCallback(() => {
-        setContextExpanded(false);
-    }, []);
-
-    const hasContext = !!(lead?.aiSummary || leadCalls.length || leadFollowUps.length || leadAppointments.length || leadActivities.length);
-
-    // Edit mode takes over the whole right panel — otherwise the
-    // AppointmentForm competes with the AI panel + context blocks for
-    // vertical space and gets crushed into a tiny strip at the bottom.
     if (editingAppointment) {
         return (
             <div className="flex h-full flex-col">
@@ -178,199 +90,28 @@ export const ContextPanel = ({ selectedLead, activities, calls, followUps, appoi
         );
     }
 
+    // Build callerSummary for the AI coaching panel
+    const nextAppt = leadAppointments.find(a => a.appointmentStatus === 'SCHEDULED' && new Date(a.scheduledAt ?? '') > new Date());
+    const lastAppt = leadAppointments.find(a => a.appointmentStatus === 'COMPLETED');
+    const callerSummary = lead ? {
+        name: fullName,
+        phone: phone?.number ?? callerPhone ?? '',
+        isNew: false,
+        aiSummary: (lead as any).aiSummary ?? null,
+        leadSource: (lead as any).leadSource ?? null,
+        utmCampaign: (lead as any).utmCampaign ?? null,
+        nextAppointment: nextAppt ? { scheduledAt: nextAppt.scheduledAt ?? '', doctorName: nextAppt.doctorName ?? '', department: nextAppt.department ?? '' } : null,
+        lastAppointment: lastAppt ? { scheduledAt: lastAppt.scheduledAt ?? '', status: lastAppt.appointmentStatus ?? '', department: lastAppt.department ?? '' } : null,
+    } : callerPhone ? {
+        name: '',
+        phone: callerPhone,
+        isNew: true,
+    } : null;
+
     return (
         <div className="flex h-full flex-col">
-            {/* Lead header — always visible */}
-            {lead && (
-                <div className="shrink-0 border-b border-secondary">
-                    <button
-                        onClick={() => setContextExpanded(!contextExpanded)}
-                        className="flex w-full items-center gap-2 px-4 py-2.5 text-left hover:bg-primary_hover transition duration-100 ease-linear"
-                    >
-                        {isInCall && (
-                            <FontAwesomeIcon icon={faPhone} className="size-3 text-fg-success-primary shrink-0" />
-                        )}
-                        <span className="text-sm font-semibold text-primary truncate">{fullName || 'Unknown'}</span>
-                        {phone && (
-                            <span className="text-xs text-tertiary shrink-0">{formatPhone(phone)}</span>
-                        )}
-                        {lead.leadStatus && (
-                            <Badge size="sm" color="brand" type="pill-color" className="shrink-0">{lead.leadStatus.replace(/_/g, ' ')}</Badge>
-                        )}
-                        <FontAwesomeIcon
-                            icon={contextExpanded ? faChevronUp : faChevronDown}
-                            className="size-3 text-fg-quaternary ml-auto shrink-0"
-                        />
-                    </button>
-
-                    {/* Expanded context sections */}
-                    {contextExpanded && (
-                        <div className="px-4 pb-3 space-y-1 overflow-y-auto" style={{ maxHeight: '50vh' }}>
-                            {/* AI Insight */}
-                            {lead.aiSummary && (
-                                <div>
-                                    <SectionHeader icon={faSparkles} label="AI Insight" expanded={insightExpanded} onToggle={() => setInsightExpanded(!insightExpanded)} />
-                                    {insightExpanded && (
-                                        <div className="rounded-lg bg-brand-primary p-2.5 mb-1">
-                                            <p className="text-xs leading-relaxed text-primary">{lead.aiSummary}</p>
-                                            {lead.aiSuggestedAction && (
-                                                <p className="mt-1.5 text-xs font-semibold text-brand-secondary">{lead.aiSuggestedAction}</p>
-                                            )}
-                                        </div>
-                                    )}
-                                </div>
-                            )}
-
-                            {/* Campaign info */}
-                            {(lead.utmCampaign || lead.campaignId) && (
-                                <div className="flex items-center gap-1.5 px-1 py-1">
-                                    <span className="text-[11px] font-semibold uppercase tracking-wider text-tertiary">Campaign</span>
-                                    <Badge size="sm" color="brand" type="pill-color">
-                                        {lead.utmCampaign ?? lead.campaignId}
-                                    </Badge>
-                                </div>
-                            )}
-
-                            {/* Quick Actions — upcoming appointments + follow-ups + linked patient */}
-                            {(leadAppointments.length > 0 || leadFollowUps.length > 0 || linkedPatient) && (
-                                <div>
-                                    <SectionHeader icon={faListCheck} label="Upcoming" count={leadAppointments.length + leadFollowUps.length} expanded={actionsExpanded} onToggle={() => setActionsExpanded(!actionsExpanded)} />
-                                    {actionsExpanded && (
-                                        <div className="space-y-1 mb-1">
-                                            {leadAppointments.map(appt => (
-                                                <div key={appt.id} className="flex items-center gap-2 rounded-lg bg-secondary px-2.5 py-2">
-                                                    <FontAwesomeIcon icon={faCalendarCheck} className="size-3 text-fg-brand-primary shrink-0" />
-                                                    <div className="min-w-0 flex-1">
-                                                        <span className="text-xs font-medium text-primary">
-                                                            {appt.doctorName ?? 'Appointment'}
-                                                        </span>
-                                                        <span className="text-[11px] text-tertiary ml-1">
-                                                            {appt.department}
-                                                        </span>
-                                                        {appt.scheduledAt && (
-                                                            <span className="text-[11px] text-tertiary ml-1">
-                                                                — {formatShortDate(appt.scheduledAt)}
-                                                            </span>
-                                                        )}
-                                                    </div>
-                                                    <Badge size="sm" color={appt.appointmentStatus === 'COMPLETED' ? 'success' : 'brand'} type="pill-color">
-                                                        {appt.appointmentStatus?.replace(/_/g, ' ') ?? 'Scheduled'}
-                                                    </Badge>
-                                                    <button
-                                                        onClick={() => setEditingAppointment(appt)}
-                                                        className="text-[11px] font-medium text-brand-secondary hover:text-brand-secondary_hover shrink-0"
-                                                    >
-                                                        Edit
-                                                    </button>
-                                                </div>
-                                            ))}
-                                            {leadFollowUps.map(fu => (
-                                                <div key={fu.id} className="flex items-center gap-2 rounded-lg bg-secondary px-2.5 py-2">
-                                                    <FontAwesomeIcon icon={faClockRotateLeft} className="size-3 text-fg-warning-primary shrink-0" />
-                                                    <div className="min-w-0 flex-1">
-                                                        <span className="text-xs font-medium text-primary">
-                                                            {fu.followUpType?.replace(/_/g, ' ') ?? 'Follow-up'}
-                                                        </span>
-                                                        {fu.scheduledAt && (
-                                                            <span className="text-[11px] text-tertiary ml-1.5">
-                                                                {formatShortDate(fu.scheduledAt)}
-                                                            </span>
-                                                        )}
-                                                    </div>
-                                                    <Badge size="sm" color={fu.followUpStatus === 'OVERDUE' ? 'error' : 'gray'} type="pill-color">
-                                                        {fu.followUpStatus?.replace(/_/g, ' ') ?? 'Pending'}
-                                                    </Badge>
-                                                </div>
-                                            ))}
-                                            {linkedPatient && (
-                                                <div className="flex items-center gap-2 rounded-lg bg-secondary px-2.5 py-2">
-                                                    <FontAwesomeIcon icon={faPhone} className="size-3 text-fg-success-primary shrink-0" />
-                                                    <span className="text-xs text-primary">
-                                                        Patient: <span className="font-medium">{linkedPatient.fullName?.firstName} {linkedPatient.fullName?.lastName}</span>
-                                                    </span>
-                                                    {linkedPatient.patientType && (
-                                                        <Badge size="sm" color="gray" type="pill-color" className="ml-auto">{linkedPatient.patientType}</Badge>
-                                                    )}
-                                                    <button
-                                                        onClick={() => navigate(`/patient/${linkedPatient.id}`)}
-                                                        className="text-[11px] font-medium text-brand-secondary hover:text-brand-secondary_hover shrink-0"
-                                                    >
-                                                        View 360
-                                                    </button>
-                                                </div>
-                                            )}
-                                        </div>
-                                    )}
-                                </div>
-                            )}
-
-                            {/* Recent calls + activities */}
-                            {(leadCalls.length > 0 || leadActivities.length > 0) && (
-                                <div>
-                                    <SectionHeader
-                                        icon={faClockRotateLeft}
-                                        label="Recent"
-                                        count={leadCalls.length + leadActivities.length}
-                                        expanded={recentExpanded}
-                                        onToggle={() => setRecentExpanded(!recentExpanded)}
-                                    />
-                                    {recentExpanded && (
-                                        <div className="space-y-0.5 mb-1">
-                                            {leadCalls.map(call => (
-                                                <div key={call.id} className="flex items-center gap-2 py-1.5 px-1">
-                                                    <FontAwesomeIcon
-                                                        icon={call.callStatus === 'MISSED' ? faPhoneMissed : call.callDirection === 'INBOUND' ? faPhoneArrowDown : faPhoneArrowUp}
-                                                        className={cx('size-3 shrink-0',
-                                                            call.callStatus === 'MISSED' ? 'text-fg-error-primary' :
-                                                            call.callDirection === 'INBOUND' ? 'text-fg-success-secondary' : 'text-fg-brand-secondary'
-                                                        )}
-                                                    />
-                                                    <div className="min-w-0 flex-1">
-                                                        <span className="text-xs text-primary">
-                                                            {call.callStatus === 'MISSED' ? 'Missed' : call.callDirection === 'INBOUND' ? 'Inbound' : 'Outbound'} call
-                                                        </span>
-                                                        {call.durationSeconds != null && call.durationSeconds > 0 && (
-                                                            <span className="text-[11px] text-tertiary ml-1">— {formatDuration(call.durationSeconds)}</span>
-                                                        )}
-                                                        {call.disposition && (
-                                                            <span className="text-[11px] text-tertiary ml-1">, {call.disposition.replace(/_/g, ' ')}</span>
-                                                        )}
-                                                    </div>
-                                                    <span className="text-[11px] text-quaternary shrink-0">
-                                                        {formatTimeAgo(call.startedAt ?? call.createdAt)}
-                                                    </span>
-                                                </div>
-                                            ))}
-                                            {leadActivities
-                                                .filter(a => !leadCalls.some(c => a.summary?.includes(c.callerNumber?.[0]?.number ?? '---')))
-                                                .slice(0, 3)
-                                                .map(a => (
-                                                    <div key={a.id} className="flex items-center gap-2 py-1.5 px-1">
-                                                        <span className="size-1.5 rounded-full bg-fg-quaternary shrink-0" />
-                                                        <span className="text-xs text-tertiary truncate flex-1">{a.summary}</span>
-                                                        {a.occurredAt && (
-                                                            <span className="text-[11px] text-quaternary shrink-0">{formatTimeAgo(a.occurredAt)}</span>
-                                                        )}
-                                                    </div>
-                                                ))
-                                            }
-                                        </div>
-                                    )}
-                                </div>
-                            )}
-
-                            {/* No context available */}
-                            {!hasContext && (
-                                <p className="text-xs text-quaternary py-2">No history for this lead yet.</p>
-                            )}
-                        </div>
-                    )}
-                </div>
-            )}
-
-            {/* AI Chat — fills remaining space */}
             <div className="flex flex-1 flex-col min-h-0 overflow-hidden">
-                <AiChatPanel callerContext={callerContext} onChatStart={handleChatStart} />
+                <AiChatPanel callerContext={callerContext} callerSummary={callerSummary} onChatStart={handleChatStart} />
             </div>
         </div>
     );