AI automation
Your senior people work on what needs them. We map where the hours go today, build agents around the tasks worth handing off, and connect them to the tools the team already uses. Every week you see what they ran, what they caught, and how much senior time came back.
What it includes
- An audit of where the team's hours go, with numbers on what an agent could take
- Agents built around the tasks the team wants to hand off, each with a defined scope and a log of every run
- Code review agents on pull requests, catching the patterns a human eye takes longer to spot
- Documentation that updates when the code does, so what the team reads matches what shipped
- Content drafts in the brand voice the team already set, ready for a human to publish
- Connections to the tools the team already uses, through MCP servers built around the stack
What you get
- Senior hours back on the work that needs human judgment
- Throughput that grows with the agents the team installed
- Code, content, and docs that pass review the first time more often
- Costs that stop tracking headcount one-for-one
Stack
Claude (Sonnet, Haiku, Opus)Claude CodeAnthropic APIMCP (Model Context Protocol)Custom TypeScript agents
Next
Tell us what you are building
A plan, a timeline, and a way forward built together.