A recent experiment conducted with the open-source IDKMesh framework assembled a group of twenty-five reviewers to evaluate a single work item. The analysis reported that the collective verification power of the group was equivalent to that of a single reviewer, yielding an effective size of one. The result challenges the common belief that each additional reviewer contributes separate evidence toward trustworthiness.

IDKMesh is positioned as a research preview that explores how humans, AI agents and assorted tools can coordinate on ambiguous objectives and turn proposals into validated output. The repository is open-source under Apache-2.0, written for Python 3.11+, and each reported metric is traceable to a reproducible experiment record. The project invites developers to replicate the findings before applying them to real-world review pipelines.