Autonomy you can measure
EvalOps Agent is the mission control for AI in production—capturing every decision, grading it, and gating releases with proof you can ship upstream.
Capture → evaluate → decide, on repeat
An autonomous runbook that ingests telemetry, executes scorecards, and writes the evidence your governance team actually needs.
Eval suites
48 running
Shadow coverage
92%
Mean gate latency
41s
Incidents auto-closed
37
Evaluation is the operating system, not a checklist
The Agent runs capture → evaluate → decide loops in every environment. No scripts to babysit, no dashboards to refresh—just a control board that moves with your org.
Deterministic telemetry intake
Lock prompts, tool calls, and environment fingerprints to every run with Git metadata and dataset hashing.
Scorecards with teeth
Blend rubric graders, statistical monitors, and live regressions; route failures immediately to owners.
Policy-aware release gates
Block risky deploys with attestation capture, rollback playbooks, and sign-offs logged to your governance systems.
Put the Agent on the cases that matter most
Shadow runs, regression hunts, release gates, incident retros—each workflow is a scene you can drop into your product without welding together twelve scripts.
Agent staged beside humans
Compare agent decisions against human workflows before handing over control, with automatic variance highlights.
Prompt diff without the guesswork
Replay baselines, datasets, and weight changes; visualize where telemetry diverged and why.
Confidence thresholds codified
Enforce numeric quality, safety, and latency targets before any deploy environment flips traffic.
Evidence, not anecdotes
Pull the exact agent trace, evaluator verdicts, and mitigations into your post-incident review templates.
See the Agent working the line
Nothing staged. The Agent narrates every change, streams evaluator verdicts, and refuses to clear a release until the guardrails say go.
Terminal-native
AI that works where you work
Execute tasks, review diffs, and evaluate results—all from your terminal with a beautiful TUI built on Bubble Tea.
Multi-pane UI
Chat, status bar, diff viewer, command palette
Execute & evaluate
Run tasks and validate results automatically
Built-in telemetry
Every action logged with full context
Evaluation signals in every system that matters
Governance is only useful if it’s in the tools you already trust. The Agent pushes context across collaboration, code, and on-call workflows automatically.
Command center inside channels
Push failing evals, dataset drift, and mitigations into the rooms where engineering and safety already collaborate.
Scorecards on every PR
Annotate diffs with evaluation deltas so reviewers can ship with numbers, not hunches.
Incidents tied to evidence
Correlate alerts with the evaluation that triggered the on-call, complete with reproduction context.
Developer-first loops
Run capture → evaluate → decide locally in under a minute, then hand results to CI without drift.
Put the EvalOps Agent on-call for your AI program
We’ll wire it into your telemetry, tune the evaluation loop, and prove to every stakeholder—from engineering to compliance—that autonomy can be accountable.