AI
Tasks
A SaaS-focused workflow to turn business requirements into delivery plans, tasks, and progress tracking.
Use this simple loop to ship your SaaS faster with AI: define what you need, get a plan, execute tasks, and track progress.
File Structure
PROJECT.md
plan.md
PROGRESS.md
task-1.md
Layers Explanation
PROJECT.md: Your main project brief and requirements. Update this to define your core customer and success criteria.plan.md: The AI-generated delivery plan ordered by business impact and dependencies.PROGRESS.md: Tracked execution progress and delivered outcomes, appended after completing tasks.tasks/backlog/: Pending tasks sliced fromplan.md. The highest priority ones are worked on first.tasks/in-progress/: The single task currently being implemented by the AI. Only one task goes here at a time.tasks/done/: Completed task files are moved here for reference.
Workflow Commands
Use the following direct commands in agent chat to manage and execute your SaaS roadmap automatically.
/tasks-plan
Turn your rough idea into an actionable roadmap.
- Write your ideas in
.agents/tasks/PROJECT.md. - Send the
/tasks-plancommand in your chat. - The AI reads
PROJECT.md, evaluates business value, outputsplan.md, and slices the plan into actionable.mdfiles directly intasks/backlog/.
/tasks-execute
Execute items one by one. Run this each time you want the AI to ship the next feature or fix.
- Send the
/tasks-executecommand. - The AI identifies the top-priority task in your
backlog/and moves it toin-progress/. - It implements the code end-to-end to deliver the feature or fix.
- When done, the AI moves the task to
done/and records the impact inPROGRESS.md.
Repeat /tasks-execute until your backlog is clear.