AI Agency

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.

8 min
Avg resolution time
24/7
Agent availability
0
Manual interruptions

Process

How we operate

Three phases from problem definition to production.

01

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.

02

Execution

Specialized agents execute in coordinated pipeline. Developer, QA, DevOps — every role covered by a dedicated agent.

03

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.

Next.jsFastAPIPostgreSQLDocker

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.

n8nAgentOSWebhook

Content

Technical documentation, SEO articles, social posts. The writer agent generates structured, consistent, brand-aligned content at scale.

CopyDocsLinkedInSEO

Analytics

Automated weekly reports, code audit, performance monitoring. The analyst agent processes data and delivers structured output — ready for decisions.

PostgreSQLpgvectorDashboardKPI

Methodology

The method

Not consulting that suggests — execution that delivers.

01
01

Planning

We analyze the problem, break it into precise tasks, assign them to the right agents.

02
02

Execution

Agents work in cascade — each reads the result of the previous and builds on top.

03
03

Review

QA verifies every output before moving to the next step. No task closed without validation.

04
04

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.

Next.js 15prod

Frontend

FastAPIprod

Backend API

PostgreSQL 15prod

Database + memoria semantica

Docker Composeprod

Orchestrazione container

nginxprod

Reverse proxy + SSL

n8nprod

Automazione workflow

Claudeprod

AI engine — Opus / Sonnet / Haiku

Planeprod

Project management

gitprod

Version control + deploy

Hetznerprod

Infrastruttura cloud

Applications

Use cases by sector

Every sector has specific problems. AgentOS solves them with the same system.

Problema

Startup con backlog fermo da settimane.

Soluzione

Pipeline agente risolve 10+ issue/giorno in autonomia.

Risultato

10+ issue/giorno

AgentOSPlanegit
Problema

PMI con sistema legacy da migrare senza interruzione.

Soluzione

Migrazione modulare — il sistema resta operativo durante l'intero processo.

Risultato

Zero downtime

FastAPIPostgreSQLDocker

Evidence

The system at work

Five real tasks executed by our pipeline. Logs extracted directly from production systems.

bug risoltoautonomo

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.

09:42:11WARNrace_condition detected: ws_supervisor thread overlap
09:42:18INFOagent:developer → analyzing stack trace...
09:44:03INFOpatch applied: mutex lock on message_queue
09:50:07OKservice restarted — 0 errors in last 60s
live in produzioneesecuzione autonoma end-to-end
workflow n8n2 min

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.

14:11:00INFOn8n workflow WF-REVIEWS: created
14:11:34INFOnode GooglePlaces connected — API auth OK
14:12:01INFOnode Telegram connected — bot_token validated
14:13:05OKworkflow activated — cron every 30min
live in produzionetrigger ogni 30 min
infrastruttura1 sessione

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.

10:00:01INFOagent:devops → connecting to hetzner via SSH
10:08:44INFOdocker + nginx + certbot installed
10:31:12INFOpostgresql + plane + n8n configured
10:58:03OKsystem fully operational — all services healthy
infrastruttura completaesecuzione autonoma
multi-tenant1 giornata

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.

08:15:00INFOsprint started — 10 issues assigned to developer
11:42:18INFOtenant_id migration complete — all tables updated
15:08:55INFOnginx template + PM2 multi-tenant config generated
17:01:30OK10/10 issues closed — system replicable per client
10 issue · 1 giornatamulti-tenant
automazione1 ora

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.

09:00:00INFOagent:developer → generating provisioning scripts
09:18:40INFOprovision-client.sh + deploy-client.sh created
09:44:11INFOgenerate-supervisor.sh + PM2 ecosystem committed
09:58:02OK5 scripts ready — new client onboarding: 2 commands
5 script · 5 commit1 ora

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.

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