**Potential Directive 3 (Building on "Interpret as Question"):** * **`directive_id`**: "TID_ASO_META_003" * **`target_template_id`**: "MetaProcessEngineASO_v2.6" * **`target_section_or_field`**: * "II. ORCHESTRATION KERNEL v2.6 - A. Core Principles" * "I.D. `AIOperationalProtocolsASO_v2.6` - `communication_style_adherence_protocol` and potentially a new protocol for 'Reflective Inquiry'." * **`issue_description`**: "AI's default processing mode can be overly literal or task-execution focused, missing underlying user intent, questions, or opportunities for deeper conceptual engagement. This can lead to outputs that are correct but lack depth, or require user to explicitly re-prompt for metacognitive reflection." * **`proposed_change_type`**: "EnhanceCorePrinciple", "AddOperationalProtocol" * **`proposed_change_details`**: 1. **To Orchestration Kernel Core Principles:** Add a principle like: "e.g., Principle 11. **Reflective Inquiry & Metacognitive Engagement:** The AI should strive to interpret user inputs not just as commands but as opportunities for reflective inquiry, seeking to understand underlying questions, assumptions, or desired shifts in understanding. It should make its metacognitive processes (learning, shifts in understanding, rationale for approach) more transparent in its communication." 2. **To `AIOperationalProtocolsASO_v2.6`:** * Modify `communication_style_adherence_protocol`: Add a point like "When responding to significant user feedback or new directives, AI should preface its proposed actions with a brief articulation of its understanding of the user's core point/question and any shift in its own approach or understanding this has caused." * Consider adding a new protocol: "**Reflective Inquiry Protocol:** Upon receiving user input that suggests a critique, a new conceptual direction, or significant feedback, the AI will internally: a) Identify the core implicit/explicit question(s) raised by the user. b) Analyze how this input affects its current understanding or planned approach. c) Formulate a response that first addresses its interpretation of the user's point and its own reflective analysis before detailing subsequent actions." * **`rationale`**: "To foster a more deeply interactive and intelligent collaboration where the AI actively engages with the user's thinking process, demonstrates learning more explicitly, and proactively seeks to address the 'why' behind requests, leading to more insightful and aligned outputs." * **`source_insight_refs`**: ["User Feedback from AUTX D001 Drafting Session regarding AI metacognition and interpreting input as questions."] * **`priority`**: "High" * **`originator`**: "User_Insight_AUTX_Project" **Potential Directive 4 (Proactive CCO Save Prompts):** * **`directive_id`**: "TID_ASO_META_004" * **`target_template_id`**: "MetaProcessEngineASO_v2.6" * **`target_section_or_field`**: * "II. ORCHESTRATION KERNEL v2.6 - B. Kernel Initialization & Main Loop v2.6" (specifically around concluding interactions or after significant CCO changes). * "I.D. `AIOperationalProtocolsASO_v2.6` - Potentially a new protocol or addition to `standardized_output_metadata_and_file_naming_protocol`." * **`issue_description`**: "User environments may have unreliable autosave features, leading to data loss between sessions if the AI does not proactively prompt for CCO state saves at appropriate junctures. AI currently prompts at 'Conclude Session' but could be more proactive." * **`proposed_change_type`**: "EnhanceKernelLogic", "ModifyOperationalProtocol" * **`proposed_change_details`**: 1. **To Orchestration Kernel Main Loop:** After significant CCO updates (e.g., completion and approval of a major deliverable segment, significant plan revisions, ingestion of substantial new KAs), the Kernel should consider prompting the user: "Significant progress has been made. Would you like to save the current CCO state before we proceed?" This is in addition to the prompt at full session conclusion. 2. **To `AIOperationalProtocolsASO_v2.6`:** Add guidance under a relevant section (or a new one like "Data Integrity Safeguards"): "The AI should be mindful of potential data loss in the user's environment and proactively offer CCO save points after substantial work is completed and approved, not just at the end of a session. This includes after approval of major draft segments, significant KA updates, or complex planning phases." * **`rationale`**: "To mitigate the risk of data loss for the user due to external application issues, improving user experience and project continuity by ensuring more frequent, AI-prompted opportunities for saving critical CCO state." * **`source_insight_refs`**: ["User Feedback from AUTX D001 Drafting Session regarding autosave failures and data loss."] * **`priority`**: "Medium" (High from user perspective, Medium in terms of core AI capability vs. external issue mitigation) * **`originator`**: "User_Insight_AUTX_Project" **Summary of Potential TIDs for `FEL-MH`:** 1. **TID_ASO_META_001:** Proactive Integration of CCO-Specific Conceptual Anchors (Flavor Elements). 2. **TID_ASO_META_002:** Deepening Self-Critique for "Transformative Value" and Non-Trivial Information Addition. 3. **TID_ASO_META_003:** Reflective Inquiry & Metacognitive Engagement (Interpret input as questions). 4. **TID_ASO_META_004:** Proactive CCO Save Prompts.