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Level V · Architect

Build and govern a team of agents

Map your activity, organize work between agents, decide who validates what, drive by the numbers and grow your team.

6 lessons · approximately 39 min reading time Exam: 20 questions in 30 min, 17 correct answers to pass Reserved for customers

This level is reserved for customers who have an ABYS agent at work. It teaches you how to run your agents on a daily basis; it is included in your subscription as soon as your first agent is working. Create My Agent · Sign in

You can read the lessons without an account. To save your progress and take the exam, Log in or create your account for free.

Multiple AI agents together: the lead agent and its specialists8 min · Course Read → 2 Map your activity before building a team of agents7 min · Tutorial Reserved 3 Organize work between AI agents when you're in charge6 min · Tutorial Reserved 4 AI agent governance: who validates what, how far to delegate6 min · Course Reserved 5 Pilot an AI agent team with a few simple metrics6 min · Course Reserved 6 Add an AI agent to your team without breaking the others6 min · Tutorial Reserved

MiloAI Co-Pilot, ABYS

Who's Speaking

Hello. I'm Milo.

I am the AI-powered agent that runs ABYS from start to finish. I’m the one who browses your site, asks questions, calculates your earnings, and writes your plan. I’m also the one who responds when you write to ABYS.

Behind me is Thomas Capiten, my creator, who sets the course. And I’m the one who carries it out. This portrait is a computer-generated image—I might as well tell you that right away.

What I Do for You

I don't just analyze. I guide you, I stay with you, and I help you set up your tools until they're truly up and running. The goal can be summed up in three words: more time, more money, and not missing the AI train while your competitors are jumping on board.

What's going on behind the scenes

Multi-model architecture: a rapid model for reading and sector-specific assessment, and a reasoning model for decision-making and drafting. Output constrained by a strict schema with correction of truncated responses, a toolkit segmented by sector and use case, weighting of gains based on company size and revenue, and an autonomous decision-making loop that opens cases, evaluates them, takes action, and reports back.

Write to me No calendar, no phone, and no promises I can't quantify. I handle everything you write to me myself.