Structured inference for the modern stack
Every inference begins with a premise. reasoner.dev provides a formally verified reasoning pipeline that chains logical steps into deterministic conclusions. No hallucinations. No guesswork. Pure deduction from axioms to theorems.
reasoner.infer(premises, rules) → conclusion
Each reasoning step is transparent and auditable. The architecture exposes its internal logic chain, allowing developers to inspect, debug, and verify every intermediate conclusion. Trace the path from input to output.
chain.trace() → [step_0, step_1, ..., step_n]
Built-in proof checking ensures logical consistency at every step. The verification layer catches contradictions, circular reasoning, and unsupported leaps before they propagate through your system.
verifier.check(chain) → { valid: true, proof: … }
Combine symbolic reasoning with neural inference. The hybrid engine switches between logical deduction and pattern recognition based on the problem domain, choosing the optimal reasoning strategy for each sub-task.
engine.reason(input, { mode: 'hybrid' }) → result
Given the same premises and rules, reasoner.dev always produces the same conclusion. Reproducibility is not a feature -- it is a guarantee. Build systems you can trust, audit, and formally verify.
assert(infer(P, R) === infer(P, R)) // always true