Free Lesson

Your First LLM Feature, Beyond the Quickstart

Hosted by Ehsan Gazar

Tue, Jun 30, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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Production-Ready Systems with LLMs and Agents: An Intensive for Engineers
Ehsan Gazar
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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.

You'll learn from

Ehsan Gazar

Principal Engineer, 500+ mentees, 16 years in production

I'm a Principal Engineer with 16 years of experience building and scaling production systems across fintech, SaaS, and enterprise software. I've made hundreds of real architectural decisions in systems that had to survive real traffic, incidents, and org politics.

I've run 500+ mentorship sessions with senior engineers at a 5.0 rating, helping them close the gap between writing code and thinking at the architectural level. I've also taught 10,000+ students and distilled what separates engineers who get promoted from those who stay stuck.

I'm not an academic. Every framework here comes from real decisions or mistakes I had to recover from. I’ll teach you to think like a Principal Engineer: not “what’s the right answer,” but “what are the trade-offs, and what survives contact with reality.”

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