lessons from a deep sabbatical to the ai woodshed

How can a non-coder build production software with AI, without creating a house of cards? We share practitioner lessons on guardrails, structure and knowing when to trust the vibes and when to verify the code.

AI is confident. AI is fast. AI is also frequently wrong. How do you build the muscle to spot hallucinations, cross-check outputs, and stop confidently written nonsense from becoming your next business decision?

Deep research tools can save you days of work, but only if you know how to steer them. How do you get properly sourced, verifiable research instead of a polished summary built on citations that don't exist?

How do you go from "it works on my laptop" to enterprise-grade production code, when you can't code? The practitioner playbook for contracts, guardrails and automation that turn vibe-coded prototypes into real products.