LLM Reasoning Chain
A structured sequence of logical steps an LLM follows to arrive at a verifiable conclusion, analogous to showing your work in mathematics.
Enterprise AI cannot operate as a black box. When BASALTONYX recommends rejecting a vendor contract, the legal team needs to understand *why*. LLM Reasoning Chains (also called Chain-of-Thought prompting) force the model to externalize its intermediate logic steps. BasaltHQ stores these chains as immutable audit trails, allowing compliance officers to replay the exact reasoning path the AI followed. This transforms AI from an opaque oracle into a transparent, auditable decision engine that satisfies SOC2, HIPAA, and GDPR requirements.
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Agentic AI
An AI system that can autonomously plan, execute, and iterate on complex multi-step tasks without continuous human intervention.
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Prompt Engineering
The discipline of designing, testing, and optimizing the textual instructions given to an LLM to maximize the quality, accuracy, and consistency of its output.
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Explainable AI
AI systems designed to provide human-understandable justifications for their outputs, enabling trust, debugging, and regulatory compliance.