Free Lesson
Your First LLM Feature, Beyond the Quickstart
30 min
Jul 1, 2026 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
The 5 things that break your first LLM feature
Token limits, error handling, context cost, raw user input, and vague prompts, and how to handle each.
Turn a vague prompt into a contract
Structured output and constrained input, so the model's job stays small, predictable, and testable.
Draw the line between model and code
What to hand the LLM versus what to keep in plain deterministic code, the highest-leverage decision in any LLM feature.
Why this topic matters
Over 60% of AI pilots never reach production, and it is almost never the model. The gap between a working API call and a feature that survives real users is where most first attempts die. In 30 minutes you'll get the engineering habits, token limits, errors, cost, and untrusted input, that take your first LLM feature from a laptop demo to something you would ship.
