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Control Plane for AI Coding Agents

Your agents are multiplying. Control isn't.

ChooChoo is the control plane for AI coding agents — governance, observability, evals, and continuous improvement across every agent your team runs.

choochoo
$ choochoo status

  Fleet: 4 agents active

  claude-code   142 sessions  ·  $8.40  ·  score 91%
  cursor         89 sessions  ·  $5.20  ·  score 88%
  codex          34 sessions  ·  $2.10  ·  score 79%
  copilot        21 sessions  ·  $0.90  ·  —

  Policies: 3 enforced  ·  Blocked today: 2
  Last eval: 4h ago  ·  Context drift: 0 files

Works with your favourite agents

ClaudeCodexCursorGeminiOpenCodeCopilot
The Problem

Agents are in production.
The control layer isn't.

Three gaps that appear the moment you run more than one agent.

01

No Unified View

Agent data fragments across model dashboards, editor logs, git history, and CI. There's no single place to see what your fleet is doing, spending, or producing.

02

No Governance Layer

Agents make consequential changes to production code with no budget controls, no access policies, and no way to reconstruct what happened after the fact.

03

No Improvement Loop

You can't tell which agents are performing well, which aren't, or why. Without evals grounded in your actual codebase, every decision is a guess.

What you get

One platform. Every layer.

From the first request to the next improvement.

Governance

Route all agent traffic through ChooChoo. Set real-time policies: budget limits per agent or team, tool and data access controls, guardrails that block unwanted behavior before it runs.

Observability

Every session recorded — what the agent did, what context it had, what it spent, how it performed. One place for all of it, across every agent in your fleet.

Evaluations

Run agents on synthetic tasks derived from your actual codebase. Measures real performance on real work, not generic benchmarks.

Optimization

Observability and eval data feed back into targeted improvements: updated docs, config files, governance rules. Agents get measurably better at your specific work over time.

GitHub & Linear

Ingest codebase context from GitHub, monitor agent config files for staleness, and submit PRs to fix drift. Every session ties to a tracked Linear ticket.

The Station

The web app for your whole team. Agent activity, costs, context health, eval results, code review, and tickets — one view, readable by everyone.

Works with every agent in your stack.

One platform. The right integration for every agent.

Every agent. One control plane.

Set up in minutes. Start with visibility, add governance, run evals — at your pace.