AI Product Manager & Builder · Paris
Since 2025, I design, build and evaluate AI workflows for operations, bridging operations, tech, and real business value.
01 · Flagship
The F&B agent for boutique hotels: one recommendation a day in WhatsApp, the manager's reply, and the outcome recorded next to it. Built to improve with every day it runs.
How it decides, and when it refuses →Built and evaluated on historical data. on Fly.io, connected to the . Ready for a 30-day pilot.
Covers expected: 101 Why 101: usual level 87; hotel 98% full +9, New Year's Day +8, season +7, weather −6; other factors −4. High confidence: 94–109 covers on 4 nights out of 5. Staffing: 7 servers, 2 hosts, 3 runners, 5 kitchen staff, on the hotel's own rules (usual night: 5, 2, 2, 3).
The range is the model's 80% interval. It is 15 covers wide, 15% of the forecast. Under 20% earns the engine's top rating, 0.9. The rating measures how tight the range is; it is not a probability.
The hotel's own rules: 1 server per 15 covers, 1 host per 60 covers, 1 runner per 45 covers, 1 kitchen staff member per 25 covers, rounded up.
I'd say 79 covers instead.
modifiedThe simulated manager averages the last 4 Thursdays: 69, 81, 72 and 95.
Actual: 95 covers. Forecast 101: 6% off, inside the 94–109 range. Your estimate 79: 17% off.
02 · Selected projects
Evaluation harness · 64 cases · pure-function graders · hard safety tier
Captures the tacit knowledge a retiring technician never wrote down and returns it to a junior on the shop floor by voice, always behind the procedure.
Read the caseSynthetic PoC. Architecture ready, deployment frozen until the data-protection impact assessment (DPIA) clears.
Hotels forget their guests: what they know sits in one person's head or in scattered tools. Anima keeps only what guests chose to share, and uses it to adapt the stay.
Read the caseAPUR BDCom 2023 shopfront census · BODACC legal notices · INSEE Sirene · 85,418 units · every figure with its source, licence and date
Every address has a story. Compass reads it before you sign.
Read the case0→1 with four co-founders, plus a developer and data scientist: discovery, MVP, grants, commercial discussions with cities. No contract closed; we stopped in 2022.
It taught me to ship one use case before ten, the rule Aetherix is built on.
Read the case03 · Field Notes
04 · Contact
Let's build the solution your team needs.
Open to AI Product Manager and Product Builder roles.