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ICC-GO: AI work should survive
Local-first notebooks for executable LLM workflows.
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.
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.
About ICC-GO: AI work should survive on Product Hunt
“Local-first notebooks for executable LLM workflows.”
ICC-GO: AI work should survive was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #104 on the daily leaderboard. 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.
On the analytics side, ICC-GO: AI work should survive competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ICC-GO: AI work should survive performed against the three products that launched closest to it on the same day.
Who hunted ICC-GO: AI work should survive?
ICC-GO: AI work should survive was hunted by Dan Levitan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ICC-GO: AI work should survive including community comment highlights and product details, visit the product overview.
Dan Levitan