Docs for building a
harness intelligence layer
Primer is no longer just a usage dashboard. These docs explain how to capture trustworthy multi-agent telemetry, normalize it into workflows and customizations, and turn the result into coaching, experiments, and operating decisions.
Launch Primer
Install the platform, configure auth and storage, and get your first high-signal data in quickly.
Understand the intelligence model
See how workflows, customizations, delegation, quality, and cost fit together into one semantic layer.
Operationalize the loop
Turn insights into interventions, experiments, and repo enablement instead of leaving them in dashboards.
Start Here
Understand the Platform
What Primer Can Tell You
A product-level overview of the questions Primer answers across leaders, platform teams, leads, and engineers.
Server & Intelligence Model
Architecture, data model, API surfaces, and the derived semantic layer behind workflows, exemplars, and experiments.
Hooks & Capture
How Primer captures session evidence from multiple agent environments and keeps that telemetry trustworthy.
MCP Sidecar
Bring stats, recommendations, and coaching into the engineer workflow.
Operate and Expand
Teams & Access
Model teams, roles, and access so insights land with the right audience.
FinOps
Forecast spend, compare workflows, and reduce cost per successful outcome.
Deployment
Run Primer with Docker, production infrastructure, and long-lived shared environments.
CLI Reference
Reference for the `primer` CLI, sync flows, and operational commands.
Alerts
Configure thresholds, notifications, and operational signals for rollout management.