The same library, with the depth laid out — what's actually inside each guide, and why it matters when you're the one accountable for how your team uses AI.
← Reading for yourself instead?Used alone, the four habits — Delegation, Description, Discernment, Diligence — sharpen your own work. Used as a leader, they become something else: a shared standard you can train people on, a common language for reviewing AI-assisted work, and a way to know where the real risk sits before it becomes a problem.
Every guide below is free and unchanged from the personal library. What's different here is the lens — what each one means once you're responsible for more than your own output.
A closer look at each guide — what it covers, why it matters for a team rather than an individual, and a line from the guide itself.
Every term your team will hit in the first month — tokens, hallucination, context window, agents — explained without jargon explaining jargon.
Gets everyone speaking the same language before you roll out tools or write any AI policy. Cuts down the meetings that stall on definitions.
A simple framework — fast answers, research & verify, thinking it through, doing the work — for matching the right kind of AI help to the task at hand.
Stops people defaulting to a quick chat answer for things that actually need verification or careful reasoning — a direct line to fewer costly mistakes.
Two ways to brief AI well — the full brief and the step-by-step build — plus the "handover note" technique for keeping long projects clean across sessions.
This is the gap between generic AI output and something usable first time. Teach this one habit and you save real hours every week.
The core 4Ds — Delegation, Description, Discernment, Diligence — the operating model the rest of the library, and this whole approach, is built on.
The one guide worth embedding into onboarding. It's the shared standard you can actually hold people to, rather than a vague "use AI responsibly."
Why "the AI wrote it" is never a defence, the leader-and-colleague model for working with AI, and a real example of catching mistakes before they shipped.
Hand this to anyone nervous about accountability. It draws the line clearly: AI assists, the human owns the result — every time, no exceptions.
Two full worked examples — a key-account book and a month of sales data — with the actual prompts used, what AI surfaced, and the judgement checks that caught what it got wrong.
Proof on real commercial data, not theory — the same method the Key Account Director planner below is built around.
A hands-on template for running one real task through all four habits, with a built-in check-in and an honest next step whatever the result.
Use it in a workshop or a 1:1 to turn the framework from something people read into something they've actually done.
The 4Ds give you the judgement. These give you the structure to apply it — three SMART planners built specifically for people carrying more than their own workload.
Vision, a 30/60/90/120-day plan, and weekly reviews built for leading with strategy and presence from day one — not just reacting to what lands in your inbox.
Preview the planner →Milestones, RACI, stakeholder mapping and a delivery readiness check — the structure for getting something real over the line on time, in good order.
Preview the planner →Vision, goals, KPIs and a quarterly plan for running the whole business on purpose — for founders and operators who want measures they can actually track.
Preview the planner →If your team is ready to put this into practice on the numbers that matter — accounts, pipeline, revenue — SMART Business takes the same judgement and builds it into a working tool.