Not a pile of tips. A method, in six chapters, from first principles to agents and the build shift. Read it start to finish, or drop in wherever you are stuck.
Start here · 19 pieces · 6 chaptersFind the problem and the outcome before you reach for the technology.
Read → FoundationsWhen you need predictable rules, and when you need judgement.
Read → FoundationsWhy AI is moving from a destination to part of the infrastructure.
Read →Find the triggers, handoffs, decisions and waiting first.
Read → FlagshipWhere AI creates real value rather than simply faster output.
Read → StackThink in capabilities and workflows, not another subscription.
Read →The impressive output is only the beginning of the job.
Read → MeasureCount the briefing, checking, correction and rework too.
Read → MeasureTask → workflow → business value → new capability.
Read →Connect AI to information you can actually trust.
Read → AccessUsefulness and access rise together, so design for both.
Read → Authority LadderRead, recommend, prepare, change, send, spend, publish, delete.
Read →What an agent actually does, minus the hype.
Read → Computer useWhat changes when AI operates the same software your people do.
Read → WorkflowsFrom asking AI for outputs to handing it whole pieces of work.
Read → Small businessWhere extra capacity lands hardest on a small team.
Read →Generation gets easier. Deciding what to build doesn't.
Read → LeverageMore execution capacity for experienced people and small teams.
Read → Build vs buyBuy the standard, build the specific. The line has moved.
Read →Work → context → authority → value. Start with the work, give AI the right information, decide what it's allowed to do, then measure the real value.
We look at how your business actually works, then decide what to buy, connect, automate, AI-enable or build. No hype, just what earns its keep.
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