Define a mission
Set out the assistant’s role, its tone and the rules it must follow.
Agent creationAI agent creation turns
AI agent creation turns
your method into an assistant.
AI agent creation starts from a precise mission: your instructions and your steps give the conversation a reusable frame.
Mission → Instructions → Guided path
What you can do
AI agent creation: from content to practice.
Build a path
Chain together messages, document selections, instructions and answers.
Reuse your method
Offer the same scenario for a recurring task, then adjust it from what your trials show.
How it works
AI agent creation: three steps to begin.
Frame the outcome
Choose a task and describe the result you expect.
Set up the steps
Prepare the instructions and the documents the conversation will need.
Test and refine
Run the scenario on a real case and adjust the instructions.
A concrete use
AI agent creation to prepare a meeting
An assistant can guide the gathering of context, prompt you to select the useful documents and help produce a summary that follows your instructions.
Frequently asked questions
What you want to know about AI agent creation.
Does an agent replace a knowledge base?
No, it rests on one. The agent brings the method — the steps, the tone, the expected result — and the base brings the substance. Without one, the other runs empty.
How many steps should there be?
A handful is enough. Too long a path becomes hard to control: several specialised agents beat a single one that claims to do everything.
Can an agent be shared with the team?
Yes, and that is the point: a method written once becomes available to everyone, instead of staying in its author’s head.
What to do when the result is off?
Look at the instruction before the model. Nine times out of ten, the gap comes from something taken for granted: a format, a tone, a constraint that was never written down. Test on a few real cases before opening the assistant to the team.
