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Level II · Practitioner

Create, nurture and set up your first agent

Create an agent, write it a good mission, give it the right documents, plan its tokens and keep the final say.

7 lessons · approximately 53 min of reading Exam: 15 questions in 20 min, 12 correct answers to pass Freely accessible courses

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

Create your first AI agent in ten minutes, without installing anything8 min · Tutorial Read → 2

Writing an AI agent's mission: the five-point method7 min · Course Read → 3

What documents to give an AI agent, and which to keep7 min · Guide Read → 4

AI tokens: what an agent consumes and how to predict it9 min · Course Read → 5

Have the final say on an AI agent: validate, then delegate8 min · Course Read → 6

Chasing unpaid invoices with an AI agent: the step-by-step method7 min · Tutorial Read → 7

Automatic quote by AI: answering a request in ten minutes7 min · Tutorial Read →

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.