An AI agent is not a chatbot
It's a digital worker with tools
A chatbot answers questions. An agent researches, queries databases, writes code, designs, takes actions in your systems — and knows when to stop and ask for human approval. We build production-grade agents, not demos.
The real power: research, development, data & execution
These aren't marketing promises — these are capabilities we run daily in our own businesses, built on Tool Use, RAG and long-term memory.
Research & investigation
The agent doesn't wait for a question — it investigates: scanning sources, cross-referencing data, summarizing long documents and returning insights with sources. Market research, competitor analysis, literature review — in minutes.
Development & coding
Development agents that write code, run tests, open Pull Requests and do code review. We work this way ourselves with Claude Code — and implement the same capability for you.
Design & content
From Figma to code, generating copy variations, adapting visual assets to every platform — agents that produce materials in your brand voice, ready for human approval.
Databases & data
Natural-language queries over Postgres, Airtable or the CRM: the agent translates a business question into SQL, runs it, analyzes and returns an answer — including automatic charts and summaries.
Taking actions (Tools)
The real power: Function Calling. The agent doesn't just answer — it books a meeting in the calendar, updates a record, sends an invoice, opens a support ticket. Every API becomes a tool in its hands.
Multi-agent orchestration
Systems where a coordinating agent breaks a task into sub-tasks and distributes them to specialized agents — researcher, developer, writer — that work in parallel and converge into one deliverable.
The architecture of an agent
that holds up in production
The difference between a nice POC and an agent that runs for a year straight is the engineering around it: context and memory management, clear action boundaries, failure handling, and ongoing quality measurement (Evals) on real scenarios.
Scenarios running with us already today
Customer service
Around-the-clock answers, independent resolution of most inquiries and smart escalation to a rep.
Sales & leads
Qualification, enrichment and meeting booking — the lead is handled within seconds, not the next day.
Monitoring & control
An agent that watches your data and alerts on anomalies before they become a problem.
Internal operations
Meeting summaries, daily reports, task tracking — straight to Slack or WhatsApp.
From idea to a live agent
within days, not months
We also built Xgen11 — a platform for creating and managing AI agents with goal definitions, scenarios and automations without writing code. We bring that experience to every project.