Practical guides for teams shipping production AI: agents, automation, rescuing AI-built prototypes, and web and mobile product engineering. Each article answers one buyer question with trade-offs, not hype.
AI consulting services: what you should get in the first 30 days
The first month of an AI engagement should produce a mapped workflow, a written definition of good, a tested thin slice and a clear go, change or stop decision, not a slide deck.
What an AI readiness assessment should check before you buy AI
A useful AI readiness assessment checks the workflow, the data, the systems around it and who owns the result before anyone compares models or vendors.
AI strategy consulting for small teams: a one-page decision framework
Small teams do not need a long AI strategy. They need one page per decision: the problem, the evidence, the risk, the build-or-buy call, the owner and the condition for stopping.
Hire AI consultant or keep looking? How to evaluate a proposal without buying demo-ware
A strong AI proposal names the workflow, the real data it will use, how results will be judged, what happens when things fail, and what you will own at the end. A weak one sells a demo.
Generative AI consulting: when to hire a consultant vs an engineer
Hire a consultant when the open question is what to do. Hire an engineer when the open question is whether it can run reliably. Many generative AI projects need both, in that order.
