When AI stops being a demo and starts running the business
A concise article on the gap between impressive AI experiments and AI workflows that need predictability, traceability, approval boundaries, and recovery paths.
These notes are written for founders and operators who already see the promise in AI, but need clearer thinking about reliability, workflow risk, and what production-ready software actually requires.
A short reading list for people turning early AI momentum into something their business can actually rely on.
A concise article on the gap between impressive AI experiments and AI workflows that need predictability, traceability, approval boundaries, and recovery paths.
Start with a small consultation if you want direct judgment on what is fragile, what is worth keeping, and what the next practical build should be.