Why your AI forgets the rules by the fortieth message
Rules typed at the top of a long AI chat fade as the conversation grows. Why it happens, and where the rules should live instead.
What we learn putting sales follow-up, back office systems and AI to work, first in our own businesses and then in our clients'.
Rules typed at the top of a long AI chat fade as the conversation grows. Why it happens, and where the rules should live instead.
We built a human approval step for AI-drafted client work. Earlier this month we found the approver could not see the whole draft. How gates go blind.
AI tools treat every fact you give them as equally true. A fact with no source, date or owner is a guess with good manners. Give each one a status.
AI-made work that looks finished but is not costs the person who receives it close to two hours. Where that cost lands and what cuts it.
Three times this summer our own AI steps fell back to generic output without an error anyone could see. A timeline, and what a model change exposed.
Connecting an AI assistant to all your documents feels like giving it company knowledge. It mostly gives it your archive. What a memory adds on top.
AI-written sales copy blends what you sell today with what you plan to sell. A three-label rule keeps the promises honest for people and AI.
A drafting step in our own back office was quietly returning templates instead of real drafts. No error, no alert. How we found it and what changed.
Models guess when they lack a fact, and they guess with confidence. A short verified-facts page fixes the internal facts. It does not fix the rest.