What does JIT do, and what problem does it solve?
JIT is a decision platform for AI-generated artifacts, allowing users to manage and deploy content created by AI agents. It solves the problem of coordinating multiple AI agents (like Codex, Claude, and Cursor) by providing a central place to compare their outputs and choose which one to ship. The platform is described as 'the decision layer for AI artifacts'.
What features does JIT offer or include?
JIT offers features such as live previews for agent work, the ability to work with multiple AI agents (Codex, Claude, Cursor), isolated variants for parallel work, and a comparison and approval workflow for human decision-making. It also provides a URL-based interface for agents and a human approval step before deployment.
What is JIT used for, and in what situations?
JIT is used for publishing AI artifacts and letting AI agents work on them in isolated, live variants. It is applied in developer workflows where multiple AI agents need to propose changes or create content, and a human needs to review, compare, and approve the final output. The process involves connecting an agent, watching it work in a variant, and choosing what ships.
Who is JIT for?
JIT is for developers who work with AI coding agents like Codex, Claude, and Cursor, and need a structured way to manage, compare, and deploy the code or artifacts these agents generate. The homepage directly addresses this audience with the phrase 'Agents build. You decide.'
What is JIT?
JIT is an AI-powered platform that accelerates coding by generating code snippets, templates, and algorithms, and it fosters a collaborative community for developers. It is categorized as a 'Developer & AI Platform'.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.