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Positioning

Primary sentence. Verifiable Labs helps AI agents improve through generated clean feedback loops, then verifies whether those improvements truly generalize before promotion.

Short. Verifiable Labs builds clean feedback and promotion gates for increasingly general AI agents.

Category. Agent-generalization infrastructure / clean feedback substrate — not a benchmark runner, not an RL training platform, not an AGI lab.

Vocabulary we use

increasingly general AI agents · clean feedback loops · generated hidden/OOD/adversarial scenarios · generalization improvement · promotion gate · clean transfer · contamination-resistant evaluation · clean feedback substrate.

Claims we do not make

We do not claim to build, solve, or prove AGI, and we do not claim to guarantee general intelligence. We do not claim to have a "formally verified system/product/API/code". We never claim to prove that a model generalizes, and we never claim to eliminate contamination. The only formal claim we make is:

Selected mathematical properties behind the contamination-resistant promotion gate are machine-verified in Lean 4. A hand-maintained Python mirror has property tests derived from selected definitions; no mechanized code-to-proof parity is claimed.