← Back to all sparks
C

Comet

AI-ASSISTANTS
Velocity5.0

ML experiment tracking and LLM observability platform, including Opik for evaluating LLM apps.

Comet's Opik pushes eval and observability toward standardized, portable agent workflows.

ai-evaluationobservabilityagentsinteroperabilityeval-driven-development
Current state
Comet is centering its Opik product on AI evaluation and agent observability — test suites, tracing, and evaluation-driven development for teams shipping agents to production. Recent moves include an integration with Oracle's Open Agent Specification and automated eval workflows.
Where it's heading
The direction is toward measurable, portable agent development: build-once-run-anywhere via open specs, automated dataset and metric evaluation, and deep tracing to debug multi-step agent failures. Comet is planting itself as the eval/observability layer for the agentic stack.
Prediction
Expect more eval automation and interoperability work — additional framework integrations and tooling that treats every agent change as a measured experiment.

Recent moves

  1. 4d ago

    How Evaluation-Driven Development (EDD) Works

    An explainer on evaluation-driven development — treating each agent change as a measured before/after experiment; educational content aligned to Opik but not a release.

    View source ↗
  2. 6d ago

    Opik + Oracle Agent Specification: Build Once, Run Anywhere

    Opik integrates with Oracle's Open Agent Specification, adding portability so agents built to the spec can be evaluated and shipped across frameworks — a real interoperability move, framed by Comet as a partnership.

    View source ↗
  3. 11d ago

    AI Evaluation Simplified: Automate Dataset & Metric Eval Workflows with Test Suites

    Opik adds Test Suites to automate dataset and metric evaluation workflows, reducing the hand-built reference-dataset burden — a concrete new eval capability.

    View source ↗
  4. 11d ago

    Advanced Claude Code Cost Tracking: How to Save 30% on Token Spend

    A how-to on cutting Claude Code token spend; content marketing tied to observability, not a product change.

    View source ↗
  5. 19d ago

    Understanding Your Claude Code Spend: What’s Actually Driving the Cost

    An analysis of what drives Claude Code costs; educational content with no product signal.

    View source ↗
  6. 1mo ago

    Agent Tracing and Observability: Log & Debug Complex AI Systems

    An explainer on agent tracing and observability for debugging AI systems; category education, not a release.

    View source ↗