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To ground an AI session, review foundational documents, clarify guiding questions, define a practice box, and establish quality expectations. This ensures alignment and sets a productive tone before commencing any task.

AI assistants lose context when sessions lack initial grounding in foundational documents and quality expectations. Reviewing project architecture and guiding questions beforehand prevents misaligned efforts and maintains shared understanding throughout the task.

Setting quality expectations requires explicitly reviewing coding standards and deliverable requirements before work begins. Establishing these expectations early grounds the AI in the project's architecture and ensures output meets the defined quality criteria.

Yes, providing foundational documents is required for AI onboarding. The workflow relies on reviewing these documents to establish contextual grounding, clarify guiding questions, and ensure the AI is aligned with the project's goals before starting.

Use a context onboarding skill before starting any complex coding task or AI-driven session. It is essential when you need to review architecture diagrams, coding standards, and user stories to ensure alignment and prevent misaligned efforts.