I have a fleet and want to optimize it
Your fleet is growing. We work on technical debt, token costs, models, self-improvement loops and the supervision harness.
We always start from a concrete situation: a team, a role, a blocker. Then we make the next step visible.
Useful but numerous agents: overnight orchestration, monitoring, writing, supervision and reporting, with token costs and model choices to manage.
Agent managers supervise loops, the harness improves and models are chosen by cost, latency, confidentiality and quality.
The fleet becomes operable: less debt, better observability, better open-source/proprietary tradeoffs.
Agents produce output, but silent errors, scattered instructions and costs make the system hard to improve.
We treat technical debt, strengthen tests, optimize tokens and install actionable feedback loops.
The fleet learns better, costs less and becomes simpler to maintain.
Vos factures d'API explosent sans justification liée aux revenus.
Les codes écrits à la va-vite ont créé une dette technique paralysante.
Des erreurs silencieuses bloquent vos processus en production.
On cartographie agents, workflows n8n, scripts, consignes, modèles, coûts, logs et dépendances.
On renforce tests, supervision, règles de fallback, gestion des tokens et évaluation de qualité.
On améliore la flotte : dette technique, routage modèles, open source/propriétaire, boucles et managers-agents.
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