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LLM Residency

I embed with your engineering team for 4-6 weeks. We build production AI systems together, and I leave when your team can run them without me.

Published

November 17, 2025

Your team ships production AI by building it — not watching slides about it

Most AI training is a classroom exercise. Someone lectures about embeddings, your engineers nod politely, and nothing changes on Monday.

The LLM Residency is different. I join your team for 4-6 weeks. We build the RAG pipelines, automation workflows, and AI features your business actually needs. Your engineers learn by shipping real code — not toy demos.

By the end, you have production systems running and a team that knows how to extend them.

How it works

  • Week 1 — Discovery: I assess where you are, identify the highest-value use cases, and set measurable targets.
  • Weeks 2-3 — Build: We implement core infrastructure — RAG pipelines, vector databases, API integrations, prompt templates — in your codebase, your tools, your stack.
  • Weeks 3-4 — Enable: Hands-on workshops in prompt engineering, model evaluation, and debugging. Technical and non-technical tracks run in parallel.
  • Weeks 4-6 — Ship: Launch working systems, establish monitoring, transfer full ownership to your team.

I’m in your standups, pair-programming with your engineers, joining your planning sessions. By the final week, your team runs everything independently.

What you get

  • Production AI systems deployed in your environment — not a proof of concept
  • RAG pipelines connected to your actual data
  • Prompt engineering and evaluation skills embedded across the team
  • Governance framework with security protocols and runbooks

Who this is for

You’ve played with ChatGPT. Maybe built a demo. But nothing’s in production. You have 2-4 engineers who’ll own the systems long-term, plus stakeholders who know what to build. You want capability, not a consultant dependency.

Results

Teams in automotive, real estate, healthcare, and financial services have completed the residency. 38% improvement in prompt success rates. Every engagement has shipped production systems — not slide decks.

Want to see the teaching approach in action? Try LLM Adventure — our free prompt engineering game. 500+ people have completed it. Or read the LLM Residency case study for how engagements actually run.

Not sure where your team sits? Take the AI Coding Mastery Assessment.

Book a free call

Let’s talk about where your team is and whether the residency is the right move.