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Recent Articles
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Defining What “Done” Means: Letting AI Spell Out Every Condition So You Can Decide Which Ones Count
When you hand a feature to AI without saying what “done” means, it picks the easiest possible definition: the code runs and the happy path works. Everything else (the empty states, the error cases, the “what if two people do this at once”) quietly goes unbuilt, then resurfaces later as “bugs” that were really just…
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Setting Up Backups: Letting AI Wire the Safety Net While You Decide What You Can’t Lose
AI can build you a backup system that runs like clockwork, copying your data on a schedule and rotating out the old copies without you babysitting it. The catch is that “backups exist” and “the thing I can’t afford to lose is safe” are not the same sentence, and plenty of people find that out…
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About Alan…
Alan Knox brings over four decades of hands-on experience in technology development and implementation to the challenge of making artificial intelligence accessible…
Resources…
Production-Ready AI:
More than 80% of AI projects fail in production. The Production-Ready AI Solution Framework is designed for Executives, Architects, Engineers… anyone who want to increase the chance of success for an AI project when it is deployed into production.
Also:
- Making AI Work: A Strategic Guide for Businesses
- Free AI Assessment
More resources to come…