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AI SaaS Dashboard

An AI product with auth, billing, streaming chat, and a dashboard.

Build a real AI SaaS end-to-end: users sign up, pay for a plan, talk to a streaming AI assistant, and see usage analytics. The architecture is identical to what production AI startups ship.

AuthPaymentsAI StreamingWebhooksDashboard
Unlock for ₹1000 (lifetime)

What you'll build

  • Sign up / sign in with email and OAuth
  • Subscription billing with webhook-driven plan upgrades
  • Streaming AI chat with cancellation
  • Per-user usage metering & quotas
  • Admin dashboard with charts
  • Per-feature feature flags

What you'll learn

  • Stand up a payments + auth flow that actually works
  • Stream LLM responses without UI glitches
  • Meter and rate-limit a paid AI feature
  • Wire webhooks safely with idempotency

Key flows

The end-to-end paths your data takes through the system.

Sign-up → first message

What happens from landing page to a successful AI response.

Sign up
Select plan
Checkout
Webhook upgrades plan
Open chat
Stream reply

AI request lifecycle

How a single message flows through the stack.

Client
Auth check
Quota check
Provider call
Stream tokens
Persist usage

Build steps

A step-by-step path. Each milestone leaves you with a working slice.

  1. 1

    Scaffold the app shell

    Routes, layout, auth provider stub, basic UI primitives. No real logic yet — just the skeleton.

  2. 2

    Add authentication

    Email + OAuth sign-in, session handling, protected routes. End the step with a working /dashboard for signed-in users.

  3. 3

    Wire payments

    Checkout flow, webhook endpoint, plan-state in the user record. Idempotent on retries.

  4. 4

    Build the streaming chat

    Server endpoint that streams tokens, client that renders progressively, cancellation on unmount.

  5. 5

    Add usage metering & quotas

    Count tokens per request, persist per user, enforce plan limits in the request handler.

  6. 6

    Ship the dashboard

    Charts for usage, billing portal entry point, plan management, and account settings.

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Suggested structure

A folder layout that fits this project.

AI Application

An LLM-powered app organized for reliability, retrieval, and evals.

app/agents/prompts/retrieval/tools/evals/+2

Read & study before you build

Related courses and articles that pair well with this project.