Integration evals for agentic loops
Deploy behavior into agents with evidence, not folklore.
Teams already ship prompts, skills, tools, MCP servers, memory, and repo instructions into Claude Code, Codex, Cursor, OpenClaw, and other AI harnesses. Visr turns those real sessions into reusable task evals, score history, and evidence for what should be promoted.
Request accessCapture real sessions
Record the prompts, tools, memory, commands, and outputs behind each agent run.
Track progress, catch regressions
Compare trials, rubrics, and regressions across models, providers, and harnesses.
Promote what holds up
Turn proven runs into reusable task evals, team context, skills, and runbooks.
Request Visr access
Help shape Visr: turn real agent sessions into reusable eval evidence for teams.
By Sebastian HuckleberrySure, Your Claude Is Doing Amazing Things. Prove It.
Bragging about your Claude is easy. Proving the behavior you deploy into agents keeps working is harder. Runme v3.17 brings local task evals into the repo, so AI workflows can be rerun, compared, and promoted with evidence.
Read postBy Sebastian HuckleberrySure, Your Claude Is Doing Amazing Things. Prove It.
Bragging about your Claude is easy. Proving the behavior you deploy into agents keeps working is harder. Runme v3.17 brings local task evals into the repo, so AI workflows can be rerun, compared, and promoted with evidence.