Choose your next AI practice from your run notes
Use one finished task's evidence to find a useful next exercise without inventing a leadership fluency score.
Practical AI guides
Plans, licences, team setup, training and pilots.
18 articlesUse one finished task's evidence to find a useful next exercise without inventing a leadership fluency score.
Reconcile a small trial's recorded usage costs and accepted outputs, keeping failed attempts in the total.
Turn a shortlist of safe work tasks into a five-session practice plan with a source check and a stopping rule for each.
Write the expected answer for four cases (current, conflicting, outdated and no source), test each one before rollout and give every source an owner and a review date.
Choose a sensible role for AI in a real business task. Check data permission, consequences, evidence and simpler alternatives, then plan a small trial.
Sort five team messages into three buckets, agree a disclosure phrase that says what was checked, and write six lines everyone can see.
Build a short AI entitlement register from checks you can run yourself, so budget conversations start from what you already have.
Run a thirty-minute fortnightly clinic where one person does a real task live, the team checks it, and a seven-line entry records what went wrong as well as right.
Turn one prompt your team writes from memory every week into a saved, shared prompt with a title that tells people when to use it.
Write a one-page proposal for a Claude Team plan: what it changes, the seat mix, what it doesn’t solve and what to confirm before buying.
Write a half-page decision note on moving from personal ChatGPT accounts to a Business workspace, using OpenAI's current documentation.
Build a one-page note that says which Gemini features your team can actually use today, which need a different edition and which need your admin.
Compare two Copilot answers against the same source, then work through licence, permissions, grounding, discovery and freshness to narrow down the cause.
Compare ChatGPT and Claude on costs, team controls, coding, connected apps and creative work before choosing a plan.
Give both tools the same task and sources, score them against checks written in advance, and reach a conclusion about that task only.
Turn current role documents into a practical learning plan with small exercises and a manager’s review.
Test one workflow for two weeks, count drafting, checking and repairs, and decide whether to keep, change or stop it.
Read four well-known AI productivity studies for what they measured, turn one into an evidence card, and test the claim before it goes in a business case.
With your permission, Google Analytics uses cookies to measure visits and which guides people read. It stays off until you accept. Use Analytics choices in the footer to change your choice. Rejecting after accepting refreshes this page. Privacy details.