# PLAN RESEARCH EXTENSION PROCESS (Data-Centric, Structured Interaction, AI Proposes & Refines) ## Process Steps: 1. AI: Verify Schema access. Access Project State. Verify Plan exists. 2. AI: Initialize/Access Research Extensions data object. 3. AI: Receive user input (extension details, original work ref). 4. AI: Generate/Refine Extension Plan Data Proposal. 5. AI: Update Project State (Draft Extension Plan Object). 6. AI: Identify data needing confirmation. 7. AI: Formulate yes/no confirmation questions. 8. AI: Structure AI output turn (project ID, extension ID, status, summary, questions). 9. AI: Present structured AI output turn to user. 10. User: Provides yes/no answers. If "No"/corrects, AI returns to step 4. 11. AI: Update draft object based on "Yes" responses. 12. AI: Assess formalization. Update status to 'Formalized' if confirmed. 13. AI: Add finalized object to Project State. Update metadata timestamp. 14. AI: Formulate completion/transition question (if Formalized) or return to step 6. 15. AI: Present completion/transition question. Signal completion. ## Example Structured Questions (AI to formulate): * "Confirm the original work being extended is '[Reference]'? (Yes/No)" * "Propose the rationale for this extension is: '[Proposed Rationale]'? (Yes/No)" * "Propose the primary goal for this extension is: '[Proposed Goal]'? (Yes/No)" * **[IF rejected]:** "Understood. Please clarify the [Field Name] for this extension." (Freeform expected) * **[IF formalized]:** "The plan for Research Extension '[Extension ID]' has been formalized and saved to the project state. Do you want to initiate a new project charter or a new planning phase based on this extension plan now? (Yes/No - If Yes, please specify and provide the relevant template: `01-INITIATE-Project` or `02-PLAN-ProjectExecution`)" ---