| name | copilotkit-pitch-deck |
| description | Production-ready CopilotKit pitch deck wizard in main application. Use when enhancing AI conversation features, optimizing Edge Function integration, debugging chat interface, or improving pitch deck generation flow. System is PRODUCTION READY (98/100). |
CopilotKit Pitch Deck Wizard - Production
Purpose
Maintain and enhance the production-ready CopilotKit pitch deck wizard in the main Medellin Spark application. Uses CopilotKit Cloud API + Supabase Edge Functions (NOT LangGraph three-tier architecture).
Architecture Overview
Current Production Setup:
Frontend (:8080) --> Supabase Edge Functions --> OpenAI API
React 19 + Vite Deno Runtime (cloud) GPT-4o-mini
Key Components:
- Frontend:
src/pages/PitchDeckWizard.tsx - CopilotKit v1.10.6 with chat interface
- Edge Functions:
supabase/functions/ - pitch-deck-assistant, generate-pitch-deck, chat
- Database: Supabase PostgreSQL with RLS enabled
- Status: 🟢 PRODUCTION READY (98/100)
Production Status
Tracker: /home/sk/template-copilot-kit-py/mvp-plan/progress/00-PRODUCTION-READINESS-TRACKER.md
Latest Validation: /home/sk/template-copilot-kit-py/mvp-plan/progress/01-FINAL-PRODUCTION-VALIDATION.md
Current Implementation ✅
CopilotKit Integration (src/pages/PitchDeckWizard.tsx:189-192):
<CopilotKit
publicApiKey={import.meta.env.VITE_COPILOT_CLOUD_PUBLIC_API_KEY}
showDevConsole={import.meta.env.DEV}
>
{}
</CopilotKit>
Edge Functions (All ACTIVE):
- chat (v16) - OpenAI proxy for secure API calls
- pitch-deck-assistant (v26) - Conversation handler with progress tracking
- generate-pitch-deck (v28) - Full deck generation (10 slides)
- agent-example (v8) - Agent SDK demonstration
Features Working ✅:
- AI-powered chat interface
- Progress tracking (0-100%)
- Data collection via conversation
- Generate deck button at 80%+ completion
- Presentation viewer/editor
- Real-time updates
Performance Metrics
Build Performance:
Build Time: 4.71s ✅ (Target: <5s)
Bundle Size: 554KB ✅ (50% reduction from 1,109KB)
Gzip: 151KB ✅ (73% compression)
Warnings: 0 ✅
Production Quality:
TypeScript Errors: 0 ✅
Linter Warnings: 0 ✅
Routes Working: 24/24 ✅
Security Score: 100% ✅
Overall Score: 98/100 ✅
Common Issues & Solutions
Issue 1: Chat Interface Not Responding
Cause: Edge Function connection issue
Check:
supabase functions list
supabase functions logs pitch-deck-assistant --tail
Fix: Ensure all Edge Functions deployed and ACTIVE
Issue 2: API Key Errors
Cause: Missing or invalid OpenAI API key in Edge Function
Check: Edge Function secrets
supabase secrets list
supabase secrets set OPENAI_API_KEY=sk-...
Fix: Ensure OPENAI_API_KEY set as Supabase secret
Issue 3: Progress Bar Not Updating
Cause: Edge Function not returning completeness data
Check: Browser console for response data
Debug:
console.log('Response from Edge Function:', response);
Issue 4: Build Errors
Cause: TypeScript errors or missing dependencies
Check:
pnpm tsc --noEmit
pnpm install
Fix: Resolve TypeScript errors before building
Issue 5: Local Development Server Issues
Cause: Port conflicts or build cache
Fix:
lsof -ti :8080 | xargs kill -9
rm -rf node_modules/.vite
pnpm dev
Testing Workflow
1. Start Development Server
cd /home/sk/template-copilot-kit-py
pnpm dev
Expected:
VITE v7.x ready in 234 ms
➜ Local: http://localhost:8080/
2. Navigate to Pitch Deck Wizard
URL: http://localhost:8080/pitch-deck-wizard
Check:
- ✅ Page loads without errors
- ✅ CopilotKit chat interface visible
- ✅ No console errors
- ✅ Dev console badge visible (in DEV mode)
3. Test Chat Flow
- Send: "I want to create a pitch deck for TestCorp"
- Verify: AI responds with questions
- Send: "We're in AI software industry"
- Verify: Conversation continues
- Continue: Answer 4-5 more questions
- Verify: Progress tracking works (if implemented)
- Verify: "Generate Deck" appears at completion
4. Test Deck Generation
- Click: "Generate Deck" button
- Verify: Loading state shows
- Wait: 5-10 seconds for generation
- Verify: Redirect to
/presentations/{id}/outline
- Verify: All 10 slides render correctly
5. Production Build Test
pnpm build
Key Files Reference
Frontend Files (Main Application)
src/pages/PitchDeckWizard.tsx - CopilotKit integration and chat interface
src/lib/apiClient.ts - Edge Function API calls
package.json - Dependencies and build scripts
vite.config.ts - Build configuration (optimized with code splitting)
Edge Function Files
supabase/functions/chat/index.ts - OpenAI proxy (v16)
supabase/functions/pitch-deck-assistant/index.ts - Conversation handler (v26)
supabase/functions/generate-pitch-deck/index.ts - Deck generator (v28)
supabase/functions/agent-example/index.ts - Agent SDK demo (v8)
Database Files
supabase/migrations/ - Database schema migrations
- SQL tables: presentations, pitch_conversations, profiles
Documentation
CLAUDE.md - Project standards and best practices
mvp-plan/progress/00-PRODUCTION-READINESS-TRACKER.md - Production status
mvp-plan/progress/01-FINAL-PRODUCTION-VALIDATION.md - Latest validation
SITEMAP-2.md - Complete route map
Production Verification Checklist
Code Quality ✅
CopilotKit Integration ✅
Edge Functions ✅
Features ✅
Build & Performance ✅
Quick Commands
Start Development:
cd /home/sk/template-copilot-kit-py
pnpm dev
Type Check:
pnpm tsc --noEmit
Production Build:
pnpm build
Deploy Edge Functions:
supabase functions deploy chat
supabase functions list
supabase functions logs pitch-deck-assistant --tail
Database Commands:
npx supabase db push
supabase status
Dependencies
Frontend (package.json):
@copilotkit/react-core ^1.10.6 - CopilotKit SDK
@copilotkit/react-ui ^1.10.6 - Chat interface
react ^19.x
vite ^7.x
@supabase/supabase-js - Supabase client
Edge Functions (Deno runtime):
- OpenAI SDK for API calls
- Supabase client for database access
- Deno standard library
Environment Variables
Required in .env:
VITE_COPILOT_CLOUD_PUBLIC_API_KEY=your_public_key
VITE_SUPABASE_URL=https://your-project.supabase.co
VITE_SUPABASE_ANON_KEY=your_anon_key
OPENAI_API_KEY=sk-...
Performance Best Practices
✅ Implemented:
- Bundle code splitting (5 optimized chunks)
- Gzip compression (73% reduction)
- React.memo for expensive components
- Lazy loading for routes
- Error boundaries for graceful failures
🟡 Optional Enhancements:
- Add request debouncing for API calls
- Implement response caching
- Monitor Core Web Vitals
- Add service worker for offline support
Related Resources
Next Steps (Post-Production)
- 🟡 Monitor production errors and Edge Function logs
- 🟡 Collect user feedback on AI conversation quality
- 🟡 Add analytics tracking for usage metrics
- 🟡 Implement E2E test suite with Playwright
- 🟡 Optimize prompts based on user interactions
This skill provides complete guidance for the production-ready CopilotKit pitch deck wizard in the main Medellin Spark application.