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One Human, Nine Agents, Nineteen Hours

How a factory of AI agents built a presentation in a day, and how to build yours

One Human, Nine Agents, Nineteen Hours
This book is 90% completeLast updated on 2026-11-14

One person, nine AI agents and one day: how a factory of agents built a talk, and how you can set up your own and start the same day.

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About

About

About the Book

For anyone with an idea and no team yet.

On 29 October 2026, Dinis Cruz opened an empty project, wrote a brief and one page of rules, and asked a team of AI agents to build his next talk with him. Nine agents joined, each with one job written down. That evening, nineteen hours after the first commit, he gave the talk.

This book follows that day as a factory. Who did what, and when. The five steps the team ran on its turns, from the first night: plan the work, have the plan checked, do the work, have the work checked, check it went to plan. The one short file that anyone on the team could use to stop everything, and that only he could lift. And what did not work, because that is in the book too.

The scenes are dramatised and marked as such; the events are the record's. Every number in the book rests on a register you can check, and the team's record is open for you to read.

Then it is your turn. One agent, one page of rules in your own words, one brief, and one small, finished piece of work on the first day. A second agent only when the first is busy. Alone or with others, you can start the same day.

Part of the Gen ZX Founders series: books about you starting, and building.

Author

About the Author

Dinis Cruz

I build open source tools, companies and communities that help organisations understand, manage and improve complex systems: safely, transparently and for the long term. What I am building now:

• RiskMandate.ai: the business risk layer for autonomous systems.

• Newsroom.sgit.ai: Field notes on AI agents, security and the next generation of publishing, by Dinis Cruz

• Sgit.ai: encrypted git for humans and AI agents, Apache-2.0. The foundation the other four are built on; sgraph.ai commercialises it as SG/Send and SG/Vaults.

• VoiceDebrief.ai: voice recordings into transcripts and debriefs

• TheCyberBoardroom.com: an AI-powered platform for the conversation between security teams and the board.

How I build: Open source is the best business model for an AI startup, and it is the one all of mine run on. Technology is not the moat; what a company sells is trust, maintenance, quality and certification, and everything else should be open so the buyer never has to take that on faith.

Whether an open-source project survives is a property of its copyright and trademark structure, not its licence file, and sovereignty is only possible when the code and the schemas are open. The argument, with its counter-cases, is at open-source.sgit.ai. The practice is that my companies ship open source, and their investor materials are public too.

Where I come from: 20+ years across cyber security and software engineering. Former OWASP Board member; organised the OWASP Summits (Lisbon 2011, Woburn 2017) that became the Open Security Summit.

Created the O2 Platform and the OSBot / MGraph-DB family of open-source tools, still in production across my companies today.

I previously worked as a CISO and CTO for other companies alongside my own, and I build GenAI-powered teams where security and engineering are accelerators for the business rather than gates.

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