synt
ProductionRevolutionary, air-gapped Local-First Dynamic Persona Intelligence System that transforms large, heterogeneous corpuses into grounded, attributable, and conversationally explorable intelligence using deterministic generative models.
Python
Problem
Intelligence systems lack grounding in specific corpuses. Persona-based systems can be specialized and grounded.
Why It Matters
Demonstrates that synthetic intelligence can emerge from locally-hosted specialized models through dynamic persona routing.
Core Ideas
- Air-gapped: completely offline operation
- Dynamic persona intelligence: specialized models for different tasks
- Grounded in corpuses: intelligence derived from specific knowledge
- Deterministic generative models: reproducibility