AI literacy series
Mental models for business leaders, domain experts, and operators learning how to think about real agentic systems.
AI Agents for Business Leaders: The Airport, Not the Plane
A practical mental model and leadership playbook for business leaders and domain teams building agentic AI: checklists for goals, evidence, tools, approvals, receipts, scorecards, and improvement loops.
Before Your Team Asks for an AI Agent, Map the Real Work
A practical guide for business teams mapping real work before building agents: actors, evidence, tools, decisions, risks, exceptions, and feedback loops.
Trusting AI at Work: Approvals, Boundaries, and Receipts
A plain-English guide for business leaders and domain teams on AI trust: what agents can read, draft, send, change, approve, and how receipts make decisions accountable.
How to Judge AI Work: Scorecards, Not Vibes
A practical guide for business teams evaluating AI agents with scorecards, examples, traces, human corrections, and launch gates instead of demos and vibes.
AI Does Not Launch Once: Feedback Loops After Go-Live
A plain-English guide to operating AI agents after launch: corrections, recurring failures, proposal queues, staged rollout, rollback, and continuous improvement.