Use Cases

AI Agents

Self-driving software that does the work, not just the planning.

I build agents that pick up tickets, edit code, run pipelines, write daily content, and ship deployable output — not chatbots. Pricing is per hour of agent runtime, not per seat.

  • Always-on managed agents starting at £1/hour
  • Built on Claude Code, Claude Cowork, and custom MCP servers
  • Auditable runs: every action logged, every output reviewable
Why

Chatbots deflect. Agents close. The unit economics flip the moment an agent finishes a ticket, ships a PR, or publishes a piece of content without a human touching the keyboard.

How
  • Map the work to a deterministic pipeline first
  • Drop in an agent at the steps that benefit, not the whole stack
  • Log every run; humans review the diffs, not the keystrokes
Proof
Always-on agents running
13
Hourly rate
from £1
Audit log coverage
100%