Where optimization meets constraint — ensuring what scales remains true.
PatternSeek Verified
A consumer- and enterprise-friendly trust mark for registering artifacts (claims, publications, datasets) into a calibration loop — anchored to CDI diffs, provenance (ChiR-IPP), and cross-model coherence checks.
Metrics
Metrics describe behavior under conditions — continuity, drift, recovery — not scores.
Pattern Verified API
Infrastructure for interpretability across institutions, datasets, and models — without a central gate.
Seek & Verify
Opt-in alignment threads, moderated prompting, and replayable primary research loops.
Systems (UX-UI Flow) PatternSeek Spec Cross-Domain SOP Frame SOPA Brief
- Constraint-first calibration — keep outputs coherent under load.
- Corridor-based simulation — test scenarios across modular theaters.
- Coherence + provenance — audit fidelity and narrative stability as systems scale.
A suite of calibration layers and simulation constraints for intelligent systems to grow. It operates above models and tools, and below outcomes — auditing coherence, fidelity, and narrative stability as systems scale.
Built on the Geodetic Codex, SOP simulations, and ChiR topology, PatternSeek provides architecture-aware feedback loops without replacing existing stacks.
Precision Lift for Intelligent Systems
Public preview — production versions add secure accounts, scenario overrides, and API-driven updates through ChiR-AI.
Public Alpha Release Coming Soon...
Current UX-UI Framework Flow can be seen here.
If you want to support via pilot UX testing, email info@dihedralgroup.com.
Visual Atlas (PSM)
A compact visual language for explaining measurement, calibration, and interpretability — without turning the system into a scoreboard.
Participant Alignment (beta)
PatternSeek's Seek & Verify can convene opt-in participants into structured, prompt-driven group threads. This enables fast primary research that remains auditable and bias-aware — without ranking people or prescribing outcomes.
- Opt-in by design — participants control what they share and what persists.
- Moderated prompting — reduces leading questions, push-polling, and response conditioning.
- Replayable sessions — results are summarized with provenance and can be re-run over time.
Development log
Two recent build items from the federated calibration workstream. These pages are intentionally lightweight for now — GitHub history acts as the public change record until a CMS is added.
New: Codified Definitions Index (CDI)
A live taxonomy for naming changes and definitional stability across versions and models — with diffs, effective dates, linked assets, and adoption/deprecation status.
New: Calibration Bias (SRA) example
First public demonstration of a cross-model self-validation bias metric, with provenance and audit trail — separating tone-driven reinforcement from evidence-driven agreement.