Telemetry

Telemetry is a monitoring platform designed specifically for AI coding agents. It acts as a handoff layer between automated instrumentation and human oversight. You give your AI agent a prompt, an API key, and a skill.md file, and the agent can instrument your application with structured logging. Meanwhile, your human team gets dashboards, charts, and alerts that make the agent's work understandable and actionable. The platform captures clean, snake_case structured events for key metrics like status, latency, identifiers, and error context. This data becomes immediately explorable through real-time filtering, aggregation, and visualization tools.

What sets Telemetry apart is its agent-first approach. Instead of requiring extensive manual setup, it lets coding agents like Claude, Codex, or Cursor do the initial instrumentation work. The platform understands that agents and humans need to collaborate on observability. Agents can create initial dashboards and tables, while humans can refine them, set up alerts, and use the SQL query API for custom investigations. The shared workspace ensures both automation and operators work from the same source of truth.

Telemetry works best for development teams that use AI coding assistants extensively and need to monitor the performance, costs, and reliability of their automated workflows. Founders and operators can quickly scan dashboards for system health, while developers can dive deeper into specific metrics when needed. It's particularly useful for tracking AI-related costs, API latency, and error rates in agent-driven applications, providing visibility into systems that are increasingly built and maintained by AI.