Free Lesson
Ship Your First AI Feature Without Breaking Your Codebase
30 min
Mar 24, 2026 12:00 PM
What you'll learn
A framework for scoping your first LLM feature
Identify the right AI use case for your stage and ship a working feature in days, not months.
Keep AI logic cleanly separated from your core product
See exactly where to place LLM logic so it's testable, swappable, and won't take down your app.
The 5 failure modes in rushed AI integrations
Real examples: cost blowouts, prompt drift, latency spikes, and the decisions that prevent them.
Why this topic matters
Most teams ship their first AI feature fast and spend the next quarter fixing it. Prompt drift, cost blowouts, and latency spikes aren't bad luck; they're the result of integration decisions nobody flagged in week one. For engineers and tech leads at early-stage startups, knowing how to place AI cleanly in your stack is the difference between a feature that scales and one that becomes your bigg
You'll learn from
Mansi Pathak
Built enterprise products at VC-backed startups. Now advising the founders.
