Benchmark layers
Benchmarks
Evidence requires context.
Benchmark reporting is designed around repeatability, clear baselines, hardware context, token accounting, method disclosure and explicit limits.
Evaluation policy
A number without context is not evidence.
NeuroForge benchmark reporting is built around clear baselines, repeat counts, hardware context, token accounting, command surfaces and known limits.
Internal gates guide engineering. Stronger public performance claims require stronger review, stronger repeatability and external evaluation.
Internal evaluation
Fast repeated tests guide engineering choices and detect regressions.
External review preparation
Reviewer-facing packages are prepared around commands, manifests, hashes and expected outputs.
Independent evaluation
External evaluation is the next step before broad capability claims.
Evaluation, collaboration and funding
NeuroForge is preparing controlled technical review and external evaluation pathways.
For research discussion, evaluation or funding enquiries, contact Lloyd Handyside directly.