The AI briefing you'd want, if you had a chief of staff who'd read everything.

Six executive briefings. No jargon on the surface. Detail on demand. Practice on the tools the world actually uses — ChatGPT, Claude, Perplexity, Lovable. Ascend from novice to guru.

Roughly 30 minutes of reading. A morning to master.

Five stages

The monk's path

Your avatar ages and strengthens as you climb. Start lean and curious. End with the muscular calm of someone who has read everything worth reading.

The Novice

Stage 1

The Apprentice

Stage 2

The Adept

Stage 3

The Sage

Stage 4

The Guru

Stage 5

The curriculum

Six briefings, in order

Module 1 · Foundations

What AI actually is — for a P&L owner

Modern AI is a probability engine trained on enormous quantities of text and code. It predicts the next useful word or line. That single fact explains its strengths (speed, breadth, fluent drafts) and its weaknesses (confident-sounding errors, no real-time knowledge, no accountability). Treat it as a very fast, very well-read junior analyst who never sleeps — and who must be checked.

Module 2 · Tools

The tool landscape — ChatGPT, Claude, Gemini, Lovable, Perplexity

There is no single "AI" — there is a small set of tools, each with a personality and a job it does best. ChatGPT is the versatile all-rounder. Claude excels at long documents and careful reasoning. Gemini is deeply integrated with Google and strong on multimodal. Perplexity is the citation-first research desk. Lovable turns prose into working software. Choose the tool for the task; do not force one tool to be everything.

Module 3 · Prompting

The art of the prompt — the CLEAR framework

The difference between mediocre and excellent AI output is almost never the model — it is the prompt. A good prompt gives the AI five things: Context (what is going on), Length (how much output you want), Examples (of the style or format), Audience (who will read it), and Role (who the AI should be). Learn CLEAR and the same tool will deliver noticeably better work.

Module 4 · Scenarios

Scenarios — putting AI to work in your week

Fluency without application is trivia. This module walks through five situations you will encounter in the next 30 days: a board memo, a competitor teardown, a town-hall draft, an M&A screen, and an earnings-call prep. For each: which tool, what prompt, what to check. Then unlock the scenario simulator to practice.

Module 5 · Research

The research tier — Perplexity and grounded synthesis

Once you can prompt well, the next unlock is grounded research. Perplexity and its peers search the live web, cite every claim, and synthesise faster than a junior analyst. Used well, this replaces two or three hours of desk research with fifteen minutes — but only if you verify sources and press for depth.

Module 6 · Governance

Governance, risk, and the guru mindset

The final ascent. AI concentrates leverage and concentrates risk. The executive job is to build an organisation that captures the leverage without absorbing the risk. That means clear policies (what data goes where), clear accountability (a human owns every AI-assisted output), and clear talent moves (invest in the people who will operate this well). This is the guru's terrain.