2026-10-11 17:10 UTC

Microsoft Research releases ThinkingBox benchmark measuring agent reliability across 507 stateful workflows with 20 repeated executions each, establishing repeated-execution reliability as a standard metric for agent evaluation.

state: seedheat: mediumuncertainty: mediumconvergesscott: highagent-evaluation agent-reliability benchmarkMicrosoft Researchtuhin_k

What is this?

The case claims Microsoft Research has released 'ThinkingBox', a benchmark evaluating agent reliability across 507 stateful workflows with 20 repeated executions each, positioning repeated-execution reliability as a standard metric. The sole evidence title appears to reference a Reddit post ([R] suffix) describing the benchmark as 'Solving an agent task once vs. solving it 20/20: 507 stateful workflows graded on terminal database state'. The web search returned zero organic results (deadline reached), so no independent confirmation of the release, methodology, or authorship (tuhin_k) is available from the supplied snippets.

Why it matters to Scott

Microsoft Research releasing a 507-workflow, 20-repeat benchmark directly converges with Scott's trace-backed agent comparison framework (dev:concept.trace-backed-agent-comparison) and the Thinker project grown from it โ€” a consequential lab adopting the repeated-execution reliability methodology Scott has built and argued for. This is not merely topical overlap; it validates the evaluation-driven development and verification-loop positions in his canon and creates a dated-receipts publishing opportunity.
dev:concept.trace-backed-agent-comparisondev:project.thinkerip:concept.evaluation-driven-developmentip:concept.verification-loopsradar:aa-agentperf-local-benchmarkradar:1password-scam-agent-benchmarkradar:514-coding-agent-simulation-infraradar:3jsbench-llm-3d-generation-benchmark
queries asked of Scott's wikis
  • agent evaluation benchmark repeated execution reliability methodology
  • stateful workflow evaluation agent memory persistence
  • agent reliability metrics pass-at-k vs repeated execution
  • benchmark design for coding agents tool use verification
  • Microsoft Research agent evaluation prior work position

Measured heat

now 0 pts/hpeak 1 pts/hcomments 0/hpeers p25momentum: steady2 platformsage 1274h
points/hour across evidence ยท reading as of 2026-10-12 02:59:37.977291+11:00 ยท deterministic, not a model opinion

How the heat travelled

08-19 14:00โญ origin echo-reconstructedarXiv:2608.19741, "One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows" (v1 submit
Zhuochun Li, Youngmin Ko, Ali Keramati, Tuhin Kundu, et al. (Microsoft Copilot Studio team, in partnership with Toloka; collaborators from Univ. of Pittsburgh, Northwestern, Columbia, UC Irvine) on paper (echo) ยท attributed from reddit.post.1x17shf
โ€”
10-09 00:50first on r/MachineLearning ยท published ยท +1210.8hThinkingBox: Solving an agent task once vs. solving it 20/20: 507 stateful workflows graded on terminal database state [R]
tuhin_k
โ€”
10-09 00:50amplified on r/MachineLearning ๐Ÿ‘‘reddit.post.1x17shf
tuhin_k
peak 9 ยท 1 comments ยท 101% of case engagement
10-09 04:35our radar first saw it ยท +1214.6hdiscovery anchor: reddit.post.1x17shfโ€”

Evidence (2) โ€” โญ canonical anchor

sourceobjectauthorscorecomments
๐ŸŸ  redditThinkingBox: Solving an agent task once vs. solving it 20/20: 507 stateful workflows graded on terminal database state [R]
MachineLearning
tuhin_k41
๐ŸŸง echo.paper โญarXiv:2608.19741, "One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows" (v1 submitZhuochun Li, Youngmin Ko, Ali Keramati, Tuhin Kundu, et al. (Microsoft Copilot Studio team, in partnership with Toloka; collaborators from Univ. of Pittsburgh, Northwestern, Columbia, UC Irvine)โ€”โ€”

Interpretation history

Decision trace