ICC-GO gives AI work a durable notebook format instead of another transient chat thread. Intent cells make model routing, constraints, references, and file outputs explicit, so a workflow can be inspected, rerun, shared, and versioned. It is local-first, BYOK, and built for developers who need repeatable LLM workflows rather than one-off prompts.
No reviews yetBe the first to leave a review for ICC-GO: AI work should survive
Maker
📌
Hi Product Hunt,
My name is Dan Levitan.
I built ICC-GO because LLM work often starts as a chat, but serious AI work needs a record: what model ran, what constraints applied, what previous output was used, and what file was produced.
ICC-GO is a local-first notebook for Intent-Cell Coding. A cell can declare routing, limits, references, and file output directly in the prompt:
> claude.max
< latency <= 1m
@forward c3
%from c1
The goal is simple: make AI work survive the chat window.
What is different:
- model routing is visible per cell
- constraints live beside the prompt
- cells can reference earlier cells with %from
- outputs can become files, not just chat text
- workflows can be inspected, rerun, and shared
- the local app is BYOK
ICC-GO is early, but the local bundle, examples, language docs, and public repo are ready to inspect. I would love feedback from developers who build repeatable AI workflows, agent pipelines, research notebooks, or internal LLM tools.