Iceberg Framework
Rules for AI.
5 followers
Rules for AI.
5 followers
Iceberg Framework introduces a rules layer for AI — something existing tools don’t provide. Instead of generating code directly from prompts, Iceberg forces models to follow a structured process: rules → documents → code. This eliminates behavioral drift, reduces variance, and keeps systems maintainable over time. It works behind the scenes, adding predictable, spec‑driven behavior to any model without changing your workflow.
Hi everyone 👋
I’m Andrii, the solo maker behind Iceberg Framework.
What is Iceberg Framework?
Iceberg is a deterministic execution layer for LLM‑powered systems and agents. It makes AI workflows predictable, validated, and production‑ready — even when using non‑deterministic models like GPT or Claude.
Most AI systems break because LLMs hallucinate, produce inconsistent outputs, or silently fail. Iceberg solves this by enforcing:
structured execution (plan → validate → execute → verify → log)
typed, schema‑validated outputs
safety & governance layers
controlled autonomy
full auditability and reproducibility
In simple terms: Iceberg turns an LLM from a creative assistant into a reliable software component.
Who is it for? Engineers and teams building:
agentic workflows
automation pipelines
AI‑powered product features
internal tools
enterprise‑grade AI systems
If you need LLMs to behave predictably — not improvise — Iceberg is built for you.
Happy to answer questions, share examples, or dive deeper into how Iceberg works under the hood!