The Route · 23 days · One stage a day
Join the peloton
One stage a day, July 4–26. Miss a day? The grupetto always rides back on.
Week 1
AI for working1Sign-on: working with AI vs building with it
The one thing to grasp on day one: there are two roads — working with AI and building with it. Get yourself a tool today, and see that it's far more than a chat box. We go deeper on all of it as the tour rolls on.
You'll learn
- The two roads: working with AI vs building with it
- Why it's more than chat — Cowork, connectors, skills, Code
- Get set up on one tool today
2Your use cases
A run-through of real, everyday use cases — the tasks you already do — and why AI helps each one. You leave with a shortlist that's actually yours.
You'll learn
- Spotting the tasks AI is genuinely good at
- Why AI helps: speed, volume, first drafts, recall
- Building a shortlist of your own use cases
3Basic vs better prompting
The gap between a basic prompt and a great one. The move: don't guess the perfect words — get the AI to ask you the questions that build the prompt for you.
You'll learn
- Why basic prompts get basic results
- Using questions to build a better prompt
- Setting context, goal and constraints
4Adding connectors
Connect AI to the tools you already live in — Drive, calendar, inbox, Slack — so it works with your real information, not in a vacuum.
You'll learn
- What connectors actually do
- Connecting your email, calendar and docs safely
- What changes once AI can reach your work
5Using & creating skills
Skills turn a repeatable process into something the AI runs the same way every time. Learn to use ready-made skills and to capture your own.
You'll learn
- What a skill is — vs a prompt or a template
- Using existing skills
- Capturing one of your processes as a skill
6Projects
A project is a dedicated space for one area of work — its own files, its own standing instructions, its own memory. Set it up once and every conversation inside it starts briefed.
You'll learn
- What a project is, and when to use one
- Instructions and context — briefing it once
- Managed vs local project folders — and why local wins
7Cowork: delegating the task
Cowork is where you stop chatting and start delegating: hand a whole task over, run several at once, and let the routine ones repeat on a schedule.
You'll learn
- Delegating a task vs chatting about it
- Running several tasks at once — and on a schedule
- Setting a task up: projects, approvals, trusted folders
8Artefacts: making it visual
An artefact is just an HTML file — a custom front end for your data. Point your connectors at it to build dashboards and trackers that show only what you care about, and act on them in place.
You'll learn
- Artefacts as a front end for your data
- Building a personal dashboard from your connectors
- Interactive views — update a record, share a link
Week 2
The crossoverWeek 3
AI for buildingRide the whole tour
One stage a day, July 4–26. Miss a day? The grupetto always rides back on.
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- Happy Operators



Community · Happy Operators Hackathon
Built at the Happy Operators Hackathon
Tour de AI is one entry in the Happy Operators Hackathon — a community build-along where operators ship real projects alongside the 2026 Tour de France. More builds are rolling in through the race; here's what's on the road so far.
- Tour de France Live Data MCPby AlexA Model Context Protocol server piping live Tour de France race data — riders, stages, standings — straight into your AI tools.
- More projects incomingOperators are still signing on. New hackathon builds land here as they ship.
