About
Matisse Chenavas
I connect a leadership team’s vision to the realities on the ground, then build what is missing between the two. These days it is mostly AI: getting it adopted, properly, by teams that already have a lot on their plate.
Background
My path
- 2021
A year of computer science at IUT Lyon 1
The starting point, before choosing project-based learning.
- 2022 to 2025
Trained at 42 Lyon
The piscine, then the common core: learning from peers and from projects.
- 2022
First developer contract
A fixed-term API developer role in October and November: my first paid assignment.
- Since 2023
Independent software and AI engineer
Business applications, automation, document reading, developer environments and agentic engineering training, mostly from inside my clients' teams. As a sole trader until 2025, then through MC Studio.
- 2024 to 2026
Founder of HIGHFINITY
A first company, from November 2024 to May 2026.
- Since 2026
MC Studio
My studio, founded in January 2026 to carry operational AI and agentic engineering under my own name.
How I work
Inside your team, or a small team around the project
Most of my projects ran inside teams I had not assembled, alongside their developers. That is the setting I know best: I join your rituals, bring scoping, architecture and AI, and equip the team with agentic working methods it keeps after I leave.
Either way, you have one point of contact who says what is proven, what is not yet, and who answers for what he ships.
Embedded in your team
I join the project team, its tools and its rituals, and ship with it. That has been the setting of most of my engagements since 2023.
Agentic methods set up in-house
Rules written for humans and agents, skills, workflows with human approval, systematic verification: I set up what serves the team, and I train it to use them.
A small team, if the project needs it
For a larger project, I can bring together a few independents chosen for their speciality, with a written scope and deliverables. I set the architecture, review what goes to production and stay your point of contact.
Principles
What guides my work
Accuracy over effect
I prefer a simple, verified solution to an impressive demo.
Open about limits
I say what is demonstrated, what is assumed and what still needs checking.
Humans in the loop
Systems prepare and speed things up. Binding decisions stay human.
Handover
I document decisions and train teams so they stay autonomous.
Let’s talk about what AI could change for you
A 30-minute discovery call, by video and with no commitment, to talk about your project, your constraints and the best next step.