AI Product Architecture Audit

This is a 60 minute call where you bring your AI product and we dig into what's actually going on.

Depending on where you are, that might mean looking at whether you're solving the right problem in the first place, whether your architecture is calibrated for the level of autonomy you're asking it to handle, whether your evals are a real signal or whether you have anything in place to catch drift after you ship.

I've built and deployed production AI at AWS and Microsoft, worked with teams and leaders at several Fortune 500 companies, published 35+ research papers, and taught enterprise AI at MIT and Oxford. This audit uses the same frameworks from those 30+ deployments.

If you're a founder or enterprise leader with something built and want a sharp, honest read on it, book a slot.

Resources I've created have been used in universities, corporate learning programs, and featured by Lenny Rachitsky, O'Reilly, and several other well known names. You can check them out!

1. The CC/CD, Continuous Calibration and Continuous Deployment, approach to building AI products

2. The “Evals Aren’t All You Need” article

3. Lenny’s podcast episode on building AI products

4. Free AI courses and certifications

5. LinkedIn Learning course