Explore Failure builds open protocols, tools, and evaluations for researchers and builders who need AI work to survive model, provider, and tooling changes.
AI systems stop being trustworthy under real change.Evidence goes missing, authority drifts, knowledge moves, or a provider disappears.
Explore Failure develops open protocols, evaluations, and tools.So users can preserve control and useful capability through those failures.
Research territories
Failure under test.
One instrument now public. One failure event. Two active research paths. Harness Workbench introduces controlled changes, preserves what happened, and tests whether the harness itself remained trustworthy.
Public instrument / Test apparatusHarness Workbench
Two kinds of continuity can break at once: a claim loses the evidence that makes it trustworthy, and the research environment loses the state needed to inspect or continue the work.
Shared survival criterionAnother person can inspect the work, understand its limits, and continue from where it stopped.