One question.
See the difference.
Compare D-Light with GPT-6 Astra-low on the same decisions. Explore the recorded maps, checked calculations, and original recommendations.
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A recommendation.
And the work behind it.
Delibrium records the alternatives explored, challenges raised, revisions made, and calculations checked. Follow the map, read the original answers, and inspect the judgment yourself.
Explore the method →These runs used the actual Delibrium application engine with fresh native model responses and its built-in heuristic screening. The direct baseline's execution environment is shown with each answer. Delibrium had its owned calculation tools; the direct baseline did not have that same tool workflow.
Two fresh GPT-5.6 Sol-max judgments evaluated each pair anonymously in opposite orders, with recorded calculation evidence available for inspection. Their scores are model assessments, not calibrated measures or independent expert certification. Selection followed development testing, which also produced ties, losses, and unfinished runs.
Native model compute has no API cost, token, or latency accounting here. This is not an equal-compute comparison or a test of deployed API performance. The calculations establish results within the supplied fictional models; they do not validate real business assumptions.