The control plane for
AI coding agents.
One platform to govern, observe, evaluate, and improve every agent your team runs.
From request to improvement.
Agent traffic flows through ChooChoo. What it does with that traffic compounds over time.
Route
Every agent request flows through one gateway. Policies, budgets, and model access enforced before the request hits the provider.
Record
Full session capture — locally on each developer's machine and in team dashboards. Cost, context, tool usage, and quality scores for every session.
Evaluate
Agent readiness scoring, trajectory analysis, and continuous evals derived from your actual codebase. Measures real performance on real work.
Improve
Eval and observability data feed back into context files, agent configs, and governance rules. When drift is detected, ChooChoo opens a PR.
What you get.
Everything an engineering team needs to run AI agents safely, visibly, and well.
Gateway & Governance
All agent traffic routes through one gateway. Control happens at the entry point, not after the fact.
- Budget limits per agent, team, or project
- Model access controls and tool restrictions
- Guardrails that block before code gets written
- Full request logging and spend tracking
Observability
Two tiers: a free local app for individual developers and team dashboards for the whole org.
- Local desktop app indexes sessions from 12+ agents
- Full-text search across all conversations
- Team dashboards with cost, quality, and activity data
- Live session updates and analytics heatmaps
Evaluations
Understand how your agents are actually performing — scored, measured, and grounded in your codebase.
- Agent readiness scoring across 10 dimensions
- Trajectory analysis on real sessions
- Continuous evals on codebase-derived tasks
- Usage and spend reports delivered weekly
Optimization
Eval data becomes action. ChooChoo generates context files, detects drift, and opens PRs to fix it.
- Context file generation for every major agent
- Automatic staleness detection and PR-based fixes
- Recommendations surfaced from eval and usage data
- Agents improve with every optimization cycle
GitHub & Linear
Deep integrations that connect agent activity to your existing workflows.
- GitHub App reviews PRs that touch agent context
- Scores governance, quality, and optimization readiness
- Monitors config files for staleness across repos
- Linear integration ties every session to a ticket
The Station
One dashboard for the whole team — engineers, managers, and leadership.
- Onboarding, API key management, and team setup
- Governance policies, guardrails, and model access
- Cost tracking, activity feeds, and quality scores
- Eval results, context health, and recommendations
Every agent. One control plane.
Start with visibility, add governance, run evals — at your pace.