From Demo to Production: An LLM Systems Working Session

Ehsan Gazar

Principal Engineer shipping LLM systems

Your demo wowed the room. Production is a different job.

You can wire up an LLM and demo something that wows the room. Then it meets production and everything you weren't taught shows up at once: cost, latency, confident-wrong output, no evals, no traces. In this 3-hour working session you bring your real or planned LLM/agent feature, map its path to production with a Principal Engineer, and leave with a one-page production-readiness plan.

What you’ll learn

Walk in with a demo, walk out knowing exactly what it takes to put it in production, and a written plan to get there.

  • Decide what to hand the model vs keep in deterministic code.

  • A per-request cost and latency ceiling, and how to design to it.

  • The likeliest ways it breaks, plus the guardrails that contain them.

  • How you'll know it works before users do, and trace what it did.

Workshop agenda

  • Frame your system

    Frame the system: draw the code-vs-model boundary for your feature and name the one job it must do reliably.

  • Set a cost and latency budget

    Set a budget: a per-request cost and latency ceiling, and the design choices that keep you under it.

  • Map your top failure modes

    Map failure: your top 3 failure modes and the guardrails, retries, and fallbacks that contain them.

  • Stand up evals and tracing

    Start evals and tracing: the smallest harness that tells you quality moved before your users do.

  • Write your production-readiness plan

    Leave with a one-page production-readiness plan and a 30-day next-steps checklist.

Learn directly from Ehsan

Ehsan Gazar

Ehsan Gazar

Principal Engineer, 500+ mentees, 16 years in production

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Who this workshop is for

  • An engineer suddenly asked to ship an LLM feature, who can build a demo but hasn't taken one to production.

  • A senior or staff engineer who owns an AI system and wants rigor on cost, failure modes, and evals before it ships.

  • A tech lead, founding engineer, or EM accountable for an AI feature's cost and reliability, who needs a clear framework to pressure-test.

What's included

Ehsan Gazar

Live sessions

Learn directly from Ehsan Gazar in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

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Frequently asked questions

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Private cohort

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A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$200

USD

Aug 29
·

11am–2pm EDT

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