Teams waste hours reformulating the same AI prompts — "review this code for security issues", "generate test cases for this API endpoint", "explain this function" — from scratch every day, usually without the project context the AI needs to give useful answers.
VibeControls AI Prompts solves this in two steps. First, create an AI Context: paste in your project's README, architecture diagram, coding standards, or any background the AI should know. Name it "My Project Context" and save.
Then create a Prompt template: the actual instruction with {{variable}} placeholders for anything that changes run-to-run. Attach your Context. Save and tag it by category (REVIEW, TESTING, DOCUMENTATION, DEPLOYMENT).
Now every team member can open an AI session, find your prompt in the library, fill in the variable (like the function they're reviewing), and run it. The AI always has the right context. No chat history juggling, no repeated "here's how our codebase works" preamble.
Prompt categories make it easy to find the right template, and the queue feature lets you batch overnight runs without blocking your IDE.
Do it yourself
Build a shared, project-aware AI prompt library: create reusable context, write tagged prompt templates with variables, share them workspace-wide, run them, and queue overnight batches.
Open the Contexts tab and add a new context, then paste your README, architecture notes, or coding standards (or point it at a Git repo, file, or URL).
You should see: Your project context is saved and ready to attach to any prompt, so every run carries the right background.
Ready to make this your story?
