All drills

Ship and Monetize an AI Agent

What you'll be able to do

Take any AI tool you have built and turn it into a real product — installable, deployed, and paid — the way Cursor, Tabnine, and Sentry ship developer tools.

How developer-tool companies ship and monetize — package to PyPI, run a licensing backend serverlessly, and gate paid tiers behind a license-key checkout.
Start this internship
Create an account to unlock the 11 sections, the workbench, and AskThili.
Begin

Sections

1. Ship and Monetize an AI Agent
🔒 locked
2. Lesson 1 - Package It
🔒 locked
3. Lesson 2 - Free vs Pro
🔒 locked
4. Lesson 3 - The License Key
🔒 locked
5. Lesson 4 - Activate
🔒 locked
6. Lesson 5 - The Storefront
🔒 locked
7. Lesson 6 - Payments
🔒 locked
8. Lesson 7 - Persist the Keys
🔒 locked
9. Lesson 8 - Containerize
🔒 locked
10. Lesson 9 - Deploy to Cloud Run
🔒 locked
11. Lesson 10 - Price It & Go to Market
🔒 locked

Dig deeper

🔗thilishipagent — the reference implementation you build in this course
code
🔗Stripe Checkout and webhooks — Stripe docs
article
🔗Deploy a container to Cloud Run — Google Cloud docs
article
🔗Packaging Python projects — Python Packaging User Guide
article
🔗The Strategy and Tactics of Pricing (Nagle & Müller) — value-based pricing
article

Part of these learning paths

I want to become an ML engineer who ships and operates models in production
View path →