Most AI tools answer one question at a time.
AI agents do the actual work.

I build autonomous AI agents that plan tasks, call APIs, process data, 
and execute multi-step workflows without someone manually driving every 
step. These are not chatbots. These are systems that work.

I built BeamLab — a CLI AI coding agent with persistent memory, 
multi-model routing, and stateful session management — from scratch. 
That project taught me exactly where agentic systems break in practice 
and how to build them so they don't.

What I build for clients:

Research agents that pull data from multiple sources and compile reports.
Support agents that handle queries, escalate edge cases, and log outcomes.
Workflow agents that trigger actions across APIs based on conditions.
Multi-agent pipelines where specialized agents hand off tasks to each other.

Every system includes hard routing guards in Python, persistent state 
management, and human-in-the-loop checkpoints where the stakes are high.

If you have a repetitive multi-step process that currently needs a human 
to drive it — that is exactly what this service is built for.