project-onboarding

To prevent AI agent scope creep and context drift, you must capture durable, operator-defined project artifacts like a North Star document and audience definitions upfront to steer all downstream development work.

A project North Star document is a standardized artifact that captures your core vision, target audience, and success criteria. You need to create one during initial project setup or before ingesting research to align AI-generated work.

You can run a guided discovery interview by triggering the onboarding process, which executes a structured, operator-led Q&A to extract your project vision, domain details, and success criteria without fabricating unprovided details.

Yes, you need existing project templates and operator-provided input to initialize project context. This non-automated setup creates standardized artifacts for AGENTS.md and requires no empty placeholders to function.

The best way to align AI-generated features with application goals is to generate durable project artifacts capturing your value proposition and user trust requirements upfront, ensuring subsequent development stays strictly aligned.

AI agent workflows produce misaligned outputs when project goals are vague or undocumented. Standardizing your vision into durable artifacts and loading them via session-start scans ensures downstream AI agents receive proper context.