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api/analyze/route.ts
# Day 4: Add AI to your existing app
from fastapi import APIRouter
import anthropic

router = APIRouter()
client = anthropic.Anthropic()

@router.post("/analyze")
async def analyze_document(doc: DocumentRequest):
    response = client.messages.create(
        model="claude-opus-4-5",
        messages=[{"role": "user",
                   "content": f"Analyze: {doc.text}"}]
    )
    return {"analysis": response.content[0].text}
5
Day Build
4
Layers Built
AI +
RAG & Agents
Live
Production Deploy

Most courses teach pieces. This one builds the whole thing.

You'll understand how each layer talks to the next — and why. That architectural thinking is what separates developers who build products from developers who complete tutorials.

Full Architecture

Day 1 maps out every layer before you write a line of code. Understanding how frontend, API, database, and AI connect is the most valuable thing you'll take away.

AI as a Feature, Not a Demo

Day 4 integrates Claude into your running app. Not a standalone script — a real endpoint that your frontend calls. That's how real AI products work.

Deployed on Day 5

Not "here's how you would deploy." You actually deploy it. Your app gets a real URL with a real database and real users can sign up on Day 5.

Five days. One complete full-stack AI application.

1
Day

Architecture — Frontend + API + Database + AI

Map the full system before writing code. Understand what lives where and why. Design your app's data model and API contract. Set up your dev environment and project structure.

System designProject setupData modeling60–75 min
2
Day

Build the Frontend (React/Next.js)

Build the UI with React/Next.js. Create pages, forms, and state management. Wire up the frontend to call your (not yet built) API. Handle loading states and errors.

ReactNext.jsState managementForms75–90 min
3
Day

Build the API (FastAPI or Next.js Routes)

Build the backend API. Add PostgreSQL and write database queries. Connect your API to the frontend. Your app now reads and writes real data end-to-end.

FastAPIPostgreSQLREST APICRUD75–90 min
4
Day

Add AI Features (Claude API, RAG, Agents)

Integrate Claude into your backend. Build a RAG endpoint that retrieves context before answering. Add a simple agent that can take action. Your app now has real AI features.

Claude APIRAGAgentsEmbeddings90–120 min
5
Day

Deploy the Complete App to Production

Deploy frontend to Vercel, backend to Railway or Render, connect your production database. Add environment variables, configure CORS, and test end-to-end. Your app is live.

VercelRailwayProduction DBCORS90–120 min

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