I'm Daniel Neveux, Fractional CPTO and AI product engineer. More than twenty products launched as Technical PO or founder, and today a daily AI operator: I put agents into production for my clients and for my own tools. My promise fits in one line — the velocity of AI, the rigor of an engineering team.
I don't position myself as one more executor. I take full responsibility for delivery — from market insight to production — with a single point of contact accountable for the outcome.
The method runs on my own tools and my own development cycle before it ever reaches a client. I only sell what I operate.
Every AI output passes an engineering team's controls: executable specs, review, automated tests, TDD, E2E, CI/CD. Velocity isn't paid for in technical debt.
Based in Brittany, I work remotely and asynchronously, with occasional travel in France. Three simultaneous engagements at most, to stay genuinely involved in each.
Across twenty years of product work, I've built and led for organisations where the bar isn't up for negotiation.
A spec-driven agentic SDLC pipeline that orchestrates agents across the whole cycle: product management, development, QA.
Audits run by voice agents, to map processes and use cases at scale.
An open-source MCP language server that gives agents a fine-grained understanding of the code they work on.
Thirty minutes, no strings attached, to see whether the need and the method meet.