PatternMiner

COGNITIVE-GRADE

REDUNDANCY STACK v1.0

Cognitive-Grade Pattern Extraction Weapon

Multi-agent redundancy stack that systematically extracts, validates, and synthesizes methodology blueprints from top-tier operators. Ridiculously accurate. Redundantly good.

Redundancy Stack Architecture

Six-layer validation system with multi-agent triangulation for cognitive-grade accuracy

Multimodal Source Engine

Podcasts, books, memos, videos, meta-summaries with cross-source origin verification

✅✅✅ Redundancy

3-Agent Triangulation

Core, Contrarian, and Compressor agents independently extract and verify patterns

✅✅✅ Redundancy

4-Layer Validation

Self-report, independent confirmation, third-party reference, quantified success

✅✅✅ Redundancy

Contradiction Engine

Flags conflicting patterns and contextualizes when different strategies dominate

✅✅✅ Redundancy

Fit Overlay System

Persona, org size, market type, and execution tempo matching for contextual accuracy

✅✅✅ Redundancy

Agent Logic Export

Deploy patterns as JSON/YAML for AI systems with cognitive simulation validation

✅✅✅ Redundancy

Multi-Agent Extraction System

Three specialized agents work independently to extract and verify patterns from different perspectives

PatternMiner.Core

Semantic distillation agent focused on extracting clear, actionable heuristics and decision frameworks

PatternContrarian

Seeks what's not being said, flags unstated assumptions, blind spots, and failure patterns

PatternCompressor

Reduces methods to minimal logic with clear if/then/why flows for maximum deployability

Ready to Extract Cognitive-Grade Intelligence?

Upload your first source and start discovering the redundantly validated patterns that drive success.