ICC-GO: AI work should survive

ICC-GO transforms prompt-based interactions into durable, structured notebooks. Key features include: * Intent cells for explicit model routing and constraints * References for reusing prior outputs * File outputs for generated content * Versioning and sharing of executable workflows * Local-first operation for privacy and control This platform gives language model development a robust, repeatable format, moving beyond transient chat threads. It enables developers to structure complex language model interactions into inspectable and reproducible workflows. By separating intent from execution mechanics, ICC-GO makes intricate language model tasks understandable without requiring low-level code, ensuring that model routing, output files, and developmental notes are clear and auditable. ICC-GO is designed for developers who require repeatable language model programming instead of one-off prompts. It allows for the easy revision, local execution, and secure sharing of sensitive work. The system is built around ICC, the Intent-Cell Coding DSL, which provides the syntax for declaring how each cell should execute. This empowers users to define model aliases, set cost limits and token budgets, manage latency goals, and control forwarding rules. Ideal for engineering teams and researchers focused on building, testing, and iterating on language model applications where clarity, auditability, and collaboration are paramount. Users can export notebooks or run local bundles to ensure workflows remain inspectable and manageable outside of any single chat interface.