From the studio
What we've learned from 70+ projects: AI systems, automation, MVPs, and the decisions that separated the ones that worked from the ones that didn't.
LLMs can generate working code fast. The problem is 'working' and 'production-ready' are not the same thing. After reviewing dozens of AI-assisted codebases, the failure modes are consistent — and avoidable.
Six weeks is tight. The teams that ship in it aren't faster than average — they're more disciplined about scope. We've run enough of these sprints to know exactly where time gets lost and how to stop it.
Most AI system failures aren't model failures. They're integration failures, monitoring failures, or expectation failures. Lessons from shipping 40+ automations and copilots across ops and support teams.
Instagram, Facebook, email, SMS — four channels, four rate limits, four auth flows, four message schemas, and four different definitions of 'read'. What we learned building a channel aggregation platform that actually works.
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We write from experience, not theory. If a post resonated, there's probably a conversation worth having.