TACTIC

Token Intelligence Engine is a modular hybrid AI inference framework built for intelligent, cost-aware task execution. Rather than treating every request equally, the engine first analyzes each prompt using lightweight feature extraction and deterministic routing. Tasks that can be solved algorithmically—such as arithmetic, structured calculations, or rule-based sentiment classification—are handled instantly by symbolic solvers. Moderately complex requests can be executed using an embedded local Llama.cpp model, while only tasks requiring advanced reasoning or code generation are escalated to Fireworks AI's hosted models. The system incorporates task classification, difficulty estimation, prompt optimization, capability-aware model routing, response verification, and telemetry logging to continuously optimize execution decisions. This hybrid architecture minimizes cloud token consumption, reduces latency, and provides a scalable foundation for adaptive AI inference while remaining fully compliant with the AMD Developer Hackathon constraints.