Standard automation follows rules. AI agents make decisions. I build AI-powered automation agents that go beyond if-this-then-that — agents that read incoming emails and route them intelligently, qualify leads based on what they write in a form, extract structured data from unstructured documents, or draft responses based on your team's past answers. Built on n8n, Make.com, or direct API integrations with OpenAI, Claude, or other LLMs — depending on what your workflow actually needs. These are production-ready systems, not demos. They run reliably, handle edge cases, and connect to the tools your team already uses.

Real AI, not chatbot wrappers. The agents I build connect to your actual business data — CRMs, databases, APIs — and take actions, not just generate text.

Built for reliability, not just demos. Every agent includes error handling, fallback logic, and logging so you know when something needs attention.

Connects to your existing stack. Slack, Airtable, Google Sheets, HubSpot, Pipedrive, Supabase, your own REST APIs — the agent plugs into what you already have.

Model-agnostic. I'll recommend GPT-4, Claude, Gemini, or open-source models based on cost, speed, and accuracy requirements for your specific use case.

We define the trigger, decision logic, actions, and integrations — documented before any building starts. You'll know exactly what the agent will and won't do.

Full agent build on your chosen platform — LLM connected, tools integrated, conditional logic configured. Tested with real inputs before handoff.

End-to-end testing, a written runbook, and deployment support. Includes one round of refinements after your team starts using it live.