idapt Blog
Engineering
How idapt works under the hood, from the team building it.
How We Rank 250+ Models
The methodology behind idapt's rankings: named public benchmarks, a rescaled capability index, live telemetry, and the rule against invented composites.
EngineeringModelsBenchmarks
What 'Never Trained on Your Data' Means Technically
The engineering behind idapt's privacy stance: no training on user content, database-enforced isolation, a local-inference lane, and blocked AI training crawlers.
EngineeringPrivacyTrust
Real Receipts: How Model Outputs Are Captured
Why idapt's model showcases are captured from real production runs with cost and latency attached, and why staged demos are banned from proof surfaces.
EngineeringModelsTrust