AI Architecture Review

A working session on a system you are building or have already built. Screenshare, whiteboard, your actual code if that is fastest.

What we typically cover: whether your retrieval design survives real permissions and tenancy, where your agent loop will break under load, what your eval strategy needs to look like before you can defend the system to anyone, how much of your inference cost is architecture rather than model choice, and which parts of the build you should not be doing at all.

Send your architecture diagram, design doc or repo link in the booking confirmation. I read it before we start, so the hour goes on decisions rather than orientation.

You leave with a written summary of what we decided, sent within 24 hours.