Insights / Studio field notes
Field notes from the mccaigs studio: deterministic AI, technical systems, fast MVPs, useful automation, and practical software for ordinary businesses.
Published notes
Short, careful explanations from the workshop: what works, what should stay simple, and where the first useful release begins.
Why mccaigs used approved knowledge, deterministic matching, and controlled fallback behaviour for its public assistant.
How an independent, unofficial visitor website can connect event information, multilingual content, local search structure, and controlled answers.
Useful AI starts with a clear operational problem, approved knowledge, and a reliable route for the questions the system cannot answer.
The best businesses operate like successful ocean racing crews. Clear systems, trusted information, and reliable processes help teams navigate uncertainty with confidence.
How real-world engineering projects led us to rethink AI, rebuild our positioning, and create practical systems that solve business problems without unnecessary complexity.
A focused first release gives an SME something useful to test quickly, without carrying the cost and delay of a platform that has tried to predict everything.
Start a conversation
A useful first conversation can start with a messy workflow, a website that is not pulling its weight, or an AI opportunity that needs a practical route forward.
