Advanced AI Engineering Club
AI Engineering Club
If your bottleneck is making an internal or external AI product work reliably and well, this is the room for you. We focus on retrieval, context management, tool calling, orchestration, evals, and product design.
Proof
builders taught across AI engineering topics.
Isaac and Hamel have taught founders, engineers, and PMs working on retrieval, evals, orchestration, and AI product reliability.
What happens inside
We help in three ways.
The hard part starts once the feature has to work for real users: deciding what to trust, what to change, and what to ignore.
Education
Weekly deep dives on real AI systems
Retrieval, evals, traces, tools, agents, memory, context management, and product workflow taught through concrete examples.
Research
Signal from the flood
We sort AI releases into hype, practical, and future so members know what to ignore, what to test, and what to use now.
Decisions
Live operator review
Members bring problems, logs, screenshots, evals, traces, and product decisions. We work through what to do next and why.
Fit
This is for people who own AI outcomes.
The group is intentionally narrow. It works best when members bring real systems, real constraints, and decisions they have to make.
Not for
Not for getting started with Claude Code.
- Not for learning spec-driven development.
- Not for passive watching, AI news, template packs, or general productivity tips.
- Not for the flashiest demos, hype, or 3,000 parallel agent workflows.
For
For people responsible for AI outcomes.
- Founders, operators, engineers, and PMs shipping AI features to real users.
- People working on retrieval, evals, agents, memory, AI interfaces, internal tools, or AI product reliability.
Join the room
Make better AI product decisions every week.
Bad decisions are the most expensive part of any AI project. The goal is to help you avoid them with real examples, real traces, real evals, and direct feedback.