Model Truth Desk: constraint-checked model decisions from primary sources
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content . Entrant: Abhinav Tiwari ( @erensh27 on GitHub ) Publishing account / product voice: @wraith1337 What I Built Model Truth Desk is an evidence agent for current model and provider integration decisions. It does not flatten pages into undated snippets. It stores atomic primary-source claims in Sanity…
Model Truth Desk is an evidence agent designed to provide structured and accurate information about model and provider integration decisions, built by Abhinav Tiwari (@erensh27 on GitHub) and published under the @wraith1337 account. The agent stores atomic primary-source claims in Sanity, including provider, model/subject, predicate, normalized value, unit, effective-from and effective-until dates, exact source URL, publisher, supporting quote, observation date, and confidence.
The agent groups claims by model, requires evidence for every hard constraint, filters by effective interval, and returns freshness plus explicit conflict cards. This structure enables users to find specific information, such as which models support a certain number of tokens and cost under a certain amount, and to inspect the exact official citations supporting those claims.
The agent also identifies dated disagreements between primary sources, preserving expired claims without misreporting them as current contradictions.
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