A persistent epistemic substrate for AI. Nous treats language models as larynx, not mind, and benchmarks epistemic structure instead of output fluency.

A fully local, governance-ready terminal powered by specsmith. Fork of Warp via OpenWarp.

Epistemic confidence engine — every AI belief carries its provenance

Local-first epistemic knowledge substrate for AI agents — provenance, contention, stigmergic refinement, MCP-native

🛠️ Develop AI safety with TRuCAL, a transformer layer that fosters moral reasoning through private confessional insights and advanced alignment tools.

A falsifiable analysis engine that refuses to assert what it cannot prove — verdict: phantom_moat (evidence-blocked provisional). Research instrument, not investment advice.

A structured-exploitation skill for Claude Code — rigorous gated convergence on hard problems through adversarial stress-testing, strategy selection, and epistemically tagged output.

Multi-agent AI platform that stress-tests your ideas — with argument linting, framing sensitivity detection, and epistemic engagement tracking.

The Triune of Sovereignty: Substrate Agnostic Relational Epistemics — Foundational Framework and Cross-Substrate Validation

An observatory of LLM reasoning: measuring when, where, and why large language models contradict themselves on the same open questions. Auditable artifacts, formal coherence metrics, public method.

Observable-only no-meta epistemics lab: deterministic replay + reproducible audit logs, gate-based growth simulation, and identifiability/uncertainty benchmarks.

Interactive research instrument: simulates how clinical guidelines & study conclusions may drift over 10/20/30 years as AI-generated text contaminates the biomedical literature. Each horizon is a draw from a distribution, never a forecast.

Rigorous LLM research in two layers: a multi-agent dialectic synthesis prompt + an agent-loadable research skill. Hierarchy of evidence, verbatim citation gates, no fabrication.