v1.0.0 - Hyper-Personalization Engine Complete

Fabrik-Codek v1.0.0

The first stable release — a personal cognitive architecture built on Qwen2.5-Coder 7B that adapts to how YOU work.

Hyper-Personalization Engine (complete)

The full adaptive pipeline is now operational:

• Personal Profile — Learns your domain, tools, and patterns from your datalake
• Competence Model — Measures knowledge depth per topic (4 signals with graceful degradation)
• Adaptive Task Router — Hybrid classification with per-task retrieval strategies and model escalation
• Outcome Tracking — Zero-friction feedback loop from conversational patterns
• Graph Temporal Decay — Exponential decay keeps knowledge graph fresh
• Strategy Optimizer — Auto-adjusts retrieval for underperforming combinations

Architecture

User Query → Task Router → [classify + detect topic + check competence]
→ [select model + adapt strategy + build prompt]
→ LLM Response → Outcome Tracker → Strategy Optimizer

Key Numbers

• 782 tests passing
• 7 task types with per-task retrieval strategies
• 4 competence signals with graceful degradation
• 3 interfaces: CLI, REST API, MCP Server
• Bilingual negation detection (English + Spanish)

Getting Started

pip install -e .
fabrik status          # Check system health
fabrik profile build   # Learn your patterns
fabrik competence build # Map expertise + generate strategy overrides
fabrik chat            # Start adaptive conversation
fabrik outcomes stats  # View feedback loop metrics

The Pitch

A 7B model that knows you is worth more than a 400B model that doesn't.

Domain-agnostic. Point it at any datalake — code, legal, medical, trading — and it builds a personalized cognitive model of YOUR
expertise.