ModelTap Presents
AI systems that check AI
I build and operate TapOS, a personal AI operating system that runs frontier models under supervision. Claims verified against ground truth, workflows audited, outputs checked before they are trusted
TapOS is a governance and orchestration layer that sits above AI models and makes their output trustworthy:Ground-truth verification: model claims are checked against source records, live tests, or the code actually on disk before they are accepted. No source, no finding.Multi-model cross-checking: independent models review each other's work, and documented protocols decide which finding wins when they disagree.Anti-hallucination, anti-drift discipline: long-running AI work stays on-task and honest through structured supervision, decision ledgers, tunnel-vision audits, and strict file governance.Research pipelines: automated search and triage where every finding carries a source-tiered confidence score.Designed, built, and operated daily since December 2025
What it can do
Run long, multi-step AI work without losing the thread. Complex projects that span hours or days stay on task instead of drifting.Catch hallucinations and unsupported claims before they ship. Anything a model asserts has to trace back to a real source, or it does not go out.Cross-check one model against others. A second and third model verify the first, so single-model mistakes get caught.Triage research at scale. Automated search and sorting where every finding carries a source-tiered confidence score, not a guess.Keep a full decision trail. Every ruling is on the record, so you can see why the system did what it did and check it yourself.
The Builder
Six-plus months of daily, hands-on evaluation of frontier AI models: comparing outputs, fact-checking claims against sources, catching confabulations against transcripts, and designing the checks that make AI output dependable. I am not a coder by trade. I am a systems designer who makes AI do the coding, under verification.
Contact: [email protected]