Shipping agent systems with proof, not vibes

Self Evolving Agent Retrainer

SEAR turns agent runs into evaluable evidence, benchmarkable releases, and ChatGPT-native operator tooling.

Release posture

  • Build the Next.js app and the installable CLI from one workspace.
  • Verify local functionality with tests and a benchmark harness.
  • Expose a remote MCP endpoint for ChatGPT developer mode.
  • Publish visibility files and metadata for search and LLM discovery.
3operator surfaces

site, MCP app, and CLI

0-clickhandoff path

ship from chat to preview

Read-onlyapp tools

submission-safe by default

What ships

One product, three operator surfaces

Benchmark-first releases

Every release can publish measurable latency, throughput, and visibility artifacts instead of hand-wavy launch copy.

ChatGPT app surface

SEAR exposes a remote MCP endpoint with UI resources so operators can inspect release posture from inside ChatGPT developer mode.

Composable CLI

The `sear` command ships doctor, overview, benchmark, sitemap, and raw GET requests for future Codex threads.

Search-visible launch posture

Robots, sitemap XML, sitemap text, llms.txt, structured metadata, and clean canonical URLs are built in from day one.

Benchmark posture

Marketing can cite actual numbers.

SEAR publishes request latency, throughput, payload size, and visibility artifacts from the same codebase you deploy.

Scenariolocal-preview
Last refresh2026-04-30T15:31:35.822Z
Artifact coverage3/3