Your First AI-Generated Project
Made by AI agents — script drafted from the book, AI narration, animation written as code — and steered by the author, Rasmus Bornhøft Schlünsen.
What the film says
Picture a presentation about something you love. A painted illustration on every slide, a warm voice reading each one aloud, and a glowing network drifting behind it all. You didn't draw a single picture, or write a single line of code. You described it, and an A I agent built it. That's exercise three.
You start from a real open source project called Web Presenter. One command forks it to your own GitHub account and clones it onto your computer. Then you ask your agent to read the project and explain how it works, before it changes anything.
The pictures come from Hugging Face, where a free account gets a small monthly credit. You'll need an access token, and here's the habit that matters. The token lives in an environment variable in your terminal. Never in a file, never in Git, and never in the agent's chat. The agent doesn't need to see it. The script reads it when it runs.
Now pick a topic, and write ten short points, one per slide. Make them visual. The agent rewrites the image prompts in the asset script. Before anything runs, you read the diff. Are the prompts right? Is the token still read from the environment? Then you approve that one command, and ten illustrations arrive.
Next, the narration. Write a sentence or two for each slide, and the agent turns them into speech with edge T T S, a free library that needs no key. Ten audio files, numbered to match, so each one plays on its own slide.
Then you give the animated background a new mood. Warm amber on dark brown, or electric blue on black. Too bright? Just say so. Each change takes a few seconds.
Start a small web server on your own machine, open your browser, and press play. Your pictures, your words, your colours, all moving together, slide after slide.
Last, ask the agent what's about to be committed. Nothing holding a token goes in. Then it creates a branch, commits your work, and pushes it to your fork on GitHub, ready to share.
You brought the topic, the words, and the judgment. The agent brought the mechanics. And you kept your token out of the chat, read every diff, and approved each command yourself. Next up: exercise four, pair programming with an agent.