AI Orchestration Layer

This layer governs how Oraculum's AI responds to each query with precision and consistency. Its core responsibilities are:

• Model Selection Logic: Chooses between zero-shot reasoning, few-shot examples, or fine-tuned domain-specific LLMs based on query complexity and context.

• Validation & Consistency: Validates all LLM outputs against deterministic rules to prevent hallucination and ensure alignment with the indexer’s ground truth.

• Feedback-Informed Optimization: Continuously fine-tunes the model through user feedback, query abandonment metrics, and RLHF (Reinforcement Learning from Human Feedback).

This orchestration allows Oraculum to dynamically adapt and improve — combining the best of AI creativity with the rigor of blockchain verification.