What is ai-orchestration-framework?

AI Project Orchestration Framework is a workflow structure for people who use AI coding assistants but are not developers themselves, such as vibe coders, solo builders, indie hackers, and small teams who want their AI tool to slow down, plan, and document before making changes. The problem it addresses is that AI coding tools move fast, and without structure that speed turns into risk: unexpected file changes, silent decisions, and no record of why something was done. The core of the project is a single prompt you paste into any AI coding tool. The AI then asks twelve plain-English questions about your project, recommends one of four workflow preset profiles, ranging from a lightweight single-step process called Light for early projects up to a High-Stakes flow with compliance gates and multiple reviewers for production systems, and generates five to seven framework files in your project folder. After setup, every future change goes through a plan, verify, implement, and review sequence before any code is touched. The setup produces a project folder with a workflow playbook, a decision-log template, a backlog file, and conventions for branches and commits. These files also teach the AI what rules to follow on all future requests in that project. Setting it up takes about 15 to 30 minutes. The framework works with terminal-based tools like Claude Code, Kimi CLI, Cursor, and Aider, and with web-based AI tools such as Claude, ChatGPT, Kimi, and Gemini through manual file-saving and command copying. No coding is required from the user. The project itself is a markdown prompt file and accompanying documentation rather than executable code, and it is released under the MIT license.