AI & Workflowsshare, don't depend.

─── 01 / Our conviction

Productive AI doesn't live inside a demo. It settles into the way teams work. Our role: share with your teams the workflows we've proven in production, so they become autonomous, on the agent, on the model, on the method.

Productivity, autonomy, independence. We share with your teams the AI agent workflows and open-source models we use in production to multiply development, design and architecture across your projects.

─── 02 / Disciplines

Three disciplines, one integrated team.

Editor screen with an AI agent streaming a refactor proposal in a side panel

AI agent onboarding

We share with your teams the AI agent workflows we use every day, engineering, design, modelling, architecture. The goal isn't to adopt a tool, it's to adopt a method: framing intent clearly, reading the output, correcting the trajectory. Whatever the most sophisticated LLM sits behind it, productivity comes from the harness and the method.

  • Onboarding on an autonomous agent tool (Claude Code, Codex)
  • Prompting and iteration methods
  • Productive team workflows (engineering, design, architecture)
  • Impact measurement on project velocity

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