Iceberg Framework – A deterministic rules layer for AI workflows

Summary: Iceberg Framework adds a structured rules layer to AI models, enforcing a process from rules to documents to code. It ensures predictable, validated, and maintainable AI behavior by eliminating output variance and hallucinations without altering existing workflows.

What it does

Iceberg provides a deterministic execution layer for LLM-powered systems, enforcing structured execution steps, typed schema-validated outputs, safety controls, and full auditability. It converts AI models into reliable software components by validating and verifying outputs systematically.

Who it's for

It targets engineers and teams building agentic workflows, automation pipelines, AI product features, internal tools, and enterprise-grade AI systems requiring predictable LLM behavior.

Why it matters

Iceberg solves issues of hallucination, inconsistency, and silent failures in AI by enforcing controlled autonomy and reproducibility, making AI outputs reliable and maintainable over time.