Future Ability verifies whether AI-driven work actually changed the real system as intended. It starts with minimum access, builds an outcome contract from available evidence, returns UNKNOWN when proof is insufficient, and produces a verified outcome receipt. v0.1 includes a zero-credential public deployment scan, a live reconciliation sandbox, and private pilot intake.
Hi Product Hunt β I built Future Ability because AI agents increasingly say work is βdone,β while teams still need to check the real system to know whether the outcome actually happened.
v0.1 starts with deployment assurance. It can inspect a public GitHub deployment with zero credentials, build a verification contract from available evidence, and return PARTIAL_ASSURANCE or UNKNOWN when proof is insufficient instead of inventing certainty.
The live sandbox demonstrates the full loop: claimed success β authoritative reread β mismatch β idempotent recovery β reread β verified outcome receipt.
The design principle is simple: maximum assurance with minimum access. v0.1 never auto-modifies customer production systems.
Iβd especially value feedback from teams using AI automations: where do you still manually verify that βdoneβ is really done?