Intelligent automation. Results
in production.
We design custom AI agents that amplify the operational potential of every team — in every department, at any business scale.
Process
How we operate
Three phases from problem definition to production.
Describe the problem
You just need to know what you want to solve or automate. No AI or stack knowledge required — we handle the technical translation.
Execution
Specialized agents execute in coordinated pipeline. Developer, QA, DevOps — every role covered by a dedicated agent.
Production
Measurable, documented, maintainable output. The system is operational, monitored and ready to receive iterations.
Services
What we build
Four capabilities, one autonomous pipeline.
Development
Next.js, FastAPI, Node.js, PostgreSQL. We build on modern stacks or integrate into existing codebases. Every commit is tracked, tested and documented by the agent pipeline.
Automation
We operate a dedicated n8n server as a triggering surface: HTTP, webhooks, cron, email, external APIs. Every event becomes the entry point of an automated workflow that acts without supervision.
Content
Technical documentation, SEO articles, social posts. The writer agent generates structured, consistent, brand-aligned content at scale.
Analytics
Automated weekly reports, code audit, performance monitoring. The analyst agent processes data and delivers structured output — ready for decisions.
Methodology
The method
Not consulting that suggests — execution that delivers.
Planning
We analyze the problem, break it into precise tasks, assign them to the right agents.
Execution
Agents work in cascade — each reads the result of the previous and builds on top.
Review
QA verifies every output before moving to the next step. No task closed without validation.
Retrospective
The system learns from every cycle. Semantic memory accumulates patterns and improves over time.
1-day sprints · Avg issue: 15 minutes · Cycle repeats until backlog is empty
Technologies
Stack
Every technology is in production — not in a demo.
Frontend
Backend API
Database + memoria semantica
Orchestrazione container
Reverse proxy + SSL
Automazione workflow
AI engine — Opus / Sonnet / Haiku
Project management
Version control + deploy
Infrastruttura cloud
Applications
Use cases by sector
Every sector has specific problems. AgentOS solves them with the same system.
Startup con backlog fermo da settimane.
Pipeline agente risolve 10+ issue/giorno in autonomia.
10+ issue/giorno
PMI con sistema legacy da migrare senza interruzione.
Migrazione modulare — il sistema resta operativo durante l'intero processo.
Zero downtime
Evidence
The system at work
Five real tasks executed by our pipeline. Logs extracted directly from production systems.
Race condition risolta in produzione
L'agente developer ha rilevato una race condition nel sistema WebSocket, analizzato lo stack trace, isolato la causa, applicato il fix e riavviato il servizio. Il team di sviluppo ha ricevuto il log a operazione completata.
Google Reviews → Telegram in 2 minuti
Workflow n8n deployato da zero: monitoraggio Google Places API, classificazione sentiment AI, notifica Telegram. Trigger ogni 30 minuti. Attivo dalla prima esecuzione.
Deploy server da zero — sistema completo operativo
Server Hetzner vergine. L'agente DevOps ha eseguito setup completo via SSH: Ubuntu, Docker, nginx, SSL, PostgreSQL, Plane, n8n. Nessun intervento manuale.
Parametrizzazione multi-tenant — 10 issue completate
AgentOS hardcoded su un singolo cliente. Obiettivo: replicabile per N clienti. 10 issue completate in una giornata — variabili d'ambiente, tenant_id su tutte le tabelle, nginx template, PM2 multi-tenant.
Provisioning automatico — nuovo cliente in 2 script
5 script prodotti e committati: provision-client.sh, deploy-client.sh, generate-supervisor.sh, PM2 ecosystem, provision-plane.sh. Onboarding nuovo cliente = eseguire 2 script.
Contact
Let's talk about your case
Whether you're looking to scale a department or automate a process — tell us the context. We respond within 24 hours with a concrete assessment.