Architecture, authentication, Stripe subscriptions, LLM feature integration, and deployment. The complete technical path from blank repo to a monetized AI SaaS — built by engineers who have shipped it.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on saas ai you can find — even without producing a single minute of custom video.
This course is built by engineers who ship saas ai systems in production. It reflects how these tools actually behave at scale — not how the documentation describes them.
Every day includes working code examples you can copy, run, and modify right now. The goal is understanding through doing.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on saas ai available on the internet.
Each day is designed for about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No calendar commitment, no live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Multi-tenancy models, the Next.js + Supabase + Stripe stack that ships fast, schema design for tenant isolation, and the architectural decisions that are expensive to undo after launch.
Supabase Auth with OAuth providers, row-level security (RLS) for tenant data isolation, user roles, invite flows, and the auth patterns that scale from 10 to 10,000 users without rewrites.
Stripe Products and Prices, the subscription lifecycle, usage-based billing for AI API costs, webhook handling, customer portal, and the SaaS billing edge cases (trials, upgrades, prorations) that surprise first-timers.
Integrating Claude or GPT-4 as a SaaS feature, per-user API key management vs shared keys, token counting and cost attribution per customer, rate limiting, and the cost control patterns that prevent a viral moment from bankrupting you.
Vercel deployment with preview branches, Sentry for error tracking, PostHog for product analytics, Resend for transactional email, and the metrics (MRR, churn, activation rate) that tell you if your SaaS is working.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Full stack SaaS walkthroughs with the Next.js + Supabase stack — auth, database, and deployment from scratch.
Implementing subscription billing with Stripe — Products, Prices, customer portal, webhooks, and the subscription lifecycle edge cases.
RLS policies for multi-tenant data isolation — the Supabase feature that makes tenant separation safe without application-layer filtering.
Token counting, per-user cost attribution, rate limiting strategies, and the budget guardrails that prevent runaway AI API costs.
Tracking activation, retention, and conversion funnels with PostHog — the open-source alternative to Mixpanel for SaaS metrics.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
Official Next.js SaaS starter with Stripe, Postgres, and auth. The reference implementation for the stack taught in this course.
The Supabase platform source. The /examples directory has real-world patterns for RLS policies, Edge Functions, and auth integration.
Official Stripe Node.js SDK. The /examples directory has patterns for subscriptions, webhooks, and usage-based billing.
Open-source scheduling SaaS. The most readable large-scale production Next.js + Prisma + Stripe codebase available for study.
The technical path to a monetized SaaS has a lot of non-obvious traps. This course covers the architecture, auth, billing, and AI integration in the right order.
Your product already has users and billing. This course covers the AI integration and cost control patterns specifically — not the SaaS scaffolding you already have.
There are real trade-offs in how you integrate LLMs into a subscription product. This course explains them so you make informed decisions.
The 2-day in-person Precision AI Academy bootcamp covers SaaS development and AI product engineering in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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