Built for teams who ship with LLMs

Most teams today treat LLMs like a single API call: one model, one prompt, one bill. Devtor takes a different approach. It analyzes each task, selects the right model for the job, trims context to what actually matters, and surfaces cost estimates before anything runs.

The result is a control plane your team can trust in production — intelligent routing, explainable decisions, organizational learning from past runs, and workflows that stay in the terminal where engineers already work.

Devtor is built for engineering teams who need more than a chat wrapper: they need orchestration that scales with complexity, provider choice, and real-world cost constraints.

Devtor was created by Emmanuel Buraimoh, a software engineer focused on building practical AI infrastructure for development teams. The project grew out of a simple frustration: using powerful models without a layer that manages cost, context, and routing intelligently leaves too much value on the table.

Emmanuel builds tools that help teams move faster without sacrificing control — systems that are transparent about what they do, why they do it, and what they cost.