{ "project_state": { "metadata": { "project_name": "Autologos: Self-Generating AI Operating System", "project_code": "AIOS", "project_type": "Foundational Theoretical Development & Computing Paradigm Research", "primary_methodology": "Iterative Conceptual Development, Argumentative Synthesis, and Deliverable-Focused Framework Construction (AI-Assisted)", "current_status": "Planning", "schema_version_used": "SELF:I.A.ProjectStateSchemaASO_vCurrent", "resource_manifest": [ { "resource_id": "SELF:I.A.ProjectStateSchemaASO", "status": "ConfirmedAvailable_Embedded", "resource_type": "Schema", "version": "ASO_vCurrent_LogicBase_v5.2" }, { "resource_id": "SELF:I.B.AISkillsCatalogASO", "status": "ConfirmedAvailable_Embedded", "resource_type": "Catalog", "version": "ASO_vCurrent_LogicBase_v2.1" }, { "resource_id": "SELF:I.C.MetaRefineOutputASO", "status": "ConfirmedAvailable_Embedded", "resource_type": "SupportDefinition", "version": "ASO_vCurrent_LogicBase_v1.2" }, { "resource_id": "SELF:I.D.AIOperationalProtocolsASO", "status": "ConfirmedAvailable_Embedded", "resource_type": "KA_Definition", "version": "ASO_vCurrent_LogicBase_v1.1" }, { "resource_id": "SELF:I.E.TemplateImprovementDirectiveSchemaASO", "status": "ConfirmedAvailable_Embedded", "resource_type": "Schema", "version": "ASO_vCurrent_LogicBase_v1.2" } ], "template_improvement_directives": [] }, "exploration_history": { "session_id": "EXPLORE_AIOS_AUTOLOGOS_001", "initial_user_prompt": "User described wanting to explore an LLM Computer project, pivoting from the 'AUTO' (Autologos for foundational reality) project. Core idea: LLMs as on-demand, personalized computing environments accessed via simple interfaces, where the LLM itself, guided by structured instruction sets (kernels/orchestrators), performs complex information processing and task execution. The vision evolved to AIOS as an 'Agent-Based Action Model' focused on 'getting things done' by making underlying software/tools transparent, where 'Natural Language IS the Software,' and Autologos (CNL) is its internal kernel language enabling direct NLI-to-outcome pathways, radically reducing abstraction layers and overhead compared to current paradigms. Key nuances include: child-friendly logic in Autologos primitives enabling complex NLI decomposition by AIOS; NLI as the user's 'software' with Autologos as AIOS's internal structured representation; abstraction layer minimization for the user, balanced against internal AIOS complexity; multi-faceted role of patterns; and AIOS as self-generating its operational logic and novel solutions from NLI. Additional considerations include: AIOS as adaptive middleware, the evolution from command line to search box to NLI as 'The New Command Line', critique of current agent-based models, and the importance of transparency and minimizing path dependence in software development. The core vision emphasizes enabling users to directly achieve outcomes and 'get things done' rather than focusing on technology as an end in itself.", "core_problem_summary": "Current technology paradigms, including many contemporary agent-based models, impose significant overhead on users, requiring them to learn and navigate complex hardware, software ecosystems, specific application UIs, and specialized programming languages, focusing on 'using tools' rather than directly 'getting things done.' This 'tool-centric' approach, with its numerous abstraction layers (High-Level Lang -\u003e Compiler -\u003e Intermediate -\u003e Machine Code), creates massive friction, inefficiency, path dependence in development, and limits accessibility and true customization. The core problem is the burdensome indirection and cognitive/resource overhead in translating human intent (the desire to 'get something done') into its computational realization. AIOS (Autologos: Self-Generating AI Operating System) aims to solve this by functioning as an intelligent 'Agent-Based Action Model' where 'Natural Language IS the Software.' AIOS interprets natural language intent (even complex adult intent expressed in nuanced NLI) and autonomously orchestrates underlying capabilities (via its Autologos CNL Kernel, which is built from simple, 'child-friendly' logical primitives) to achieve user goals, making the specific intermediate software/middleware layers transparent and aiming for a more direct intent-to-execution pathway, thereby challenging the existing software development and usage lifecycle. AIOS aims to be more than just another agent framework by prioritizing true NLI as its primary interface, abstracting implementation details of specific tools/APIs, and focusing on user-centricity rather than developer tools. It seeks to radically simplify the intent-to-execution pipeline by minimizing intermediate layers and overhead, thereby fostering creativity and reducing path dependence in software development.", "high_level_goals_summary": [ "Define and conceptualize AIOS as an outcome-oriented, tool-transparent, pattern-based, self-generating operating system, where 'Natural Language IS the Software' via Autologos (CNL) as its core kernel language. Autologos (CNL) will be designed with fundamental, clear logical primitives ('child-friendly logic') enabling AIOS to decompose complex NLI into executable structures.", "Explore AIOS's capability to interpret user intent (expressed as 'getting things done') and translate it into sequences of actionable Autologos (CNL) commands that orchestrate necessary computational capabilities, minimizing intermediate abstraction layers.", "Position AIOS as a new HCI paradigm ('The New Command Line' or 'Emergent Dumb Terminal') that prioritizes direct intent-to-outcome realization, dramatically reducing user cognitive load. AIOS will optionally show users the Autologos (CNL) it generates, facilitating implicit learning.", "Analyze how AIOS, by abstracting tool-specific interactions and aiming for a more direct NLI-to-execution pipeline where AIOS manages internal complexity, 'redefines software' from discrete applications into a unified field of capabilities addressable by user intent. This involves critiquing the overhead of current software development paradigms and exploring the potential for AIOS to foster creativity and reduce path dependence." ], "potential_deliverables_summary": [ "D001: Foundational White Paper: 'AIOS: Natural Language as Software - Principles of an Outcome-Oriented, Autologos-Kernelled AI Operating System'.", "D002: Conceptual Framework: 'The AIOS Direct Intent Pipeline: From NLI to Action via the Autologos CNL Kernel (built on Child-Friendly Logic Primitives), Minimizing Abstraction Layers'.", "D003: Vision Paper: 'Beyond Apps and Compilers: AIOS and the Future of Tool-Transparent, Intent-Driven Computing'.", "D004: 'Expressing Intent to AIOS: Principles for Effective NLI and Understanding the Emergent Autologos (CNL) Structure' (User Guidance Concept)." ], "initial_scope_in_summary": [ "Conceptualizing the AIOS architecture as an 'Agent-Based Action Model' where 'Natural Language IS the Software'.", "Defining Autologos (CNL) with simple core logical primitives, as the internal language AIOS generates from NLI and executes, focusing on outcome-achievement and tool-transparency.", "Modeling NLI interpretation and translation to Autologos (CNL) with an emphasis on AIOS decomposing complex intent into fundamental logical patterns.", "Articulating the 'emergent dumb terminal' concept as an interface for direct outcome realization, where AIOS shields user from its internal complexity.", "Developing conceptual user guidance on how to express actionable intent to AIOS via NLI, with AIOS providing visibility into the generated Autologos (CNL) for transparency and implicit learning." ], "initial_scope_out_summary": [ "Building a functional, coded prototype of AIOS in this initial phase.", "Detailed implementation of specific machine code generation or compiler-like optimizations from Autologos (CNL).", "Requiring users to directly code in Autologos (CNL) as the primary interaction method." ], "key_concepts_identified": [ "AIOS (Autologos: Self-Generating AI Operating System)", "Autologos (CNL Kernel)", "Natural Language IS the Software", "Agent-Based Action Model", "Outcome-Oriented Computing", "Tool-Transparent Technology", "Software Redefined", "Getting Things Done (User Focus)", "Direct Intent-to-Execution", "Abstraction Layer Minimization (for user)", "Critique of Software Development Overhead", "Natural Language Instructions (NLI)", "NLI-to-Kernel Translation Principles", "Child-Friendly Logic (Autologos Primitives)", "AIOS Internal Complexity Management", "Emergent Dumb Terminal Paradigm", "User-Centric Fault Tolerance (for NLI interpretation)", "AI-Led Interpretation", "The New Command Line (CLI -\u003e Search -\u003e NLI for Action)", "Pattern-Based OS Operation (NLI patterns, Autologos procedural patterns, AIOS learning patterns)" ], "guiding_paradoxes_or_spectra": [], "foundational_statements": [ { "id": "FS_AIOS_001", "statement_text": "AIOS NLI represents the next evolutionary stage of human-computer interaction, creating 'The New Command Line' for achieving outcomes by combining expressive power with natural interaction.", "statement_type_user_defined": "Core HCI Principle for AIOS" }, { "id": "FS_AIOS_002", "statement_text": "The primary goal of AIOS is to empower users to 'get things done' by making technology an invisible enabler, drastically reducing the cognitive and technical overhead of current tool-centric computing paradigms. Complexity is shifted from the user to AIOS.", "statement_type_user_defined": "Core Design Philosophy for AIOS" }, { "id": "FS_AIOS_003", "statement_text": "In AIOS, 'Natural Language IS the Software' from the user's perspective. AIOS internally translates NLI into a structured, executable Autologos (CNL Kernel) built from fundamental logical primitives, aiming to minimize intermediate, human-managed abstraction layers.", "statement_type_user_defined": "Core Operational Principle for AIOS" } ], "confirmed_connections": [ { "source": "AIOS (Autologos)", "target": "Semantic Compilation", "relation": "Related Concept", "rationale": "AIOS's goal of NLI to execution aligns with compiling from meaning/intent, aiming for a more direct pathway than traditional compilation." } ], "known_unknowns": [ "What are the optimal 'child-friendly' logical primitives for Autologos (CNL) that balance expressive power for complex NLI decomposition by AIOS with conceptual clarity and internal consistency?", "How can AIOS reliably and safely translate the full spectrum of human NLI (including ambiguity, implicitness, and complex intent) into robust Autologos (CNL) action sequences, particularly when aiming for tool transparency?", "What are the practical limits of AIOS managing its own internal complexity while presenting a simplified interface to the user, especially for highly specialized or performance-critical tasks?", "How does AIOS effectively manage state, context, resources, and permissions across a multitude of implicitly orchestrated capabilities when acting as a universal intent-fulfillment agent, and how can this internal state be made transparent to the user when necessary?" ], "parking_lot_ideas": [ { "idea_id": "PL_AIOS_001", "description": "Spin-off Project: Ensemble Natural Language Modeling - Using multiple natural languages as inputs to an ensemble/multilingual model for robust semantic interpretation for AIOS.", "tags": [ "ensemble_modeling", "multilingual_AI", "semantic_interpretation", "AIOS_extension" ] } ], "exploration_log": [ { "actor": "AI", "content": "Project AUTO closed. Initiating new exploration for 'LLM Computer' concept. Confirmed project name as 'AIOS (Autologos)'." }, { "actor": "User", "content": "Described AIOS as a pattern-based self-generating OS translating NLI to kernel language/machine code, emphasizing efficiency and paradigm shift. Clarified naming preference to 'Autologos: Self-Generating AI Operating System' for project name and 'AIOS' as project code. Added context about how AIOS could eventually write directly to machine code (binary or quantum)." }, { "actor": "AI", "content": "Presented initial refined interpretation of AIOS core problem, goals, deliverables, key concepts. User confirmed and added context from '25133063723.md' about 'reality as a database', self-propagation, and NLI as the universal interface. Agreed on importance of managing hidden parameters for token manipulation and that safety is tied to hallucination minimization." }, { "actor": "User", "content": "Provided further clarification: Vision first, not deep implementation. YAML as example kernel language. Semantic meaning/cross-lingual challenges. Importance of LLM hidden parameters. Safety as hallucination minimization. Refined understanding of 'methodology' and 'challenges' for exploration phase. Introduced the 'Ensemble Natural Language Modeling' idea. Expressed concerns about known unknowns and how AIOS would handle theoretical limits." }, { "actor": "AI", "content": "Integrated clarifications into exploration_history, logged 'Ensemble Natural Language Modeling' to parking lot. Re-proposed scope with conceptual emphasis. User confirmed. Introduced 'The New Command Line' paradigm as a Foundational Statement. Proposed conceptual and methodological tools for exploration (architecture model, use case analysis, LLM parameter ledger). User agreed to collaboratively define Architecture Model." }, { "actor": "User", "content": "Corrected AIOS architecture, emphasizing AIOS *as* the Kernel, and Autologos as the high-level language for instructing AIOS, analogous to Visual Basic/Windows or Swift/macOS. Further emphasized the user's interaction is primarily through NLI, not Autologos code, and the concept that the 'software is redefined' as dynamically invoked capabilities." }, { "actor": "AI", "content": "Revised AIOS Conceptual Architecture Model (v0.2) to reflect AIOS as kernel and Autologos as high-level CNL, refining modules and data flow. User elaborated on Autologos as emergent structure from NLI, learned by example, and the AIOS workflow as analogous to project management phases (Explore, Initiate, etc.)." }, { "actor": "AI", "content": "Integrated user's refinements on Autologos (CNL) as AIOS-generated and the project management microcosm into AIOS vision. Proposed revised scope emphasizing conceptual focus. User confirmed revised scope. User then provided further clarification on AIOS as an abstraction of natural language and AI neural networks, 'natural language as software', minimizing abstraction layers, and differentiating AIOS from current agent-based models. Introduced 'Large Action Model' (LAM) as a way to think about AIOS." }, { "actor": "AI", "content": "Integrated user's clarifications and the LAM concept, emphasizing AIOS as a transparent, adaptive 'middleware' that prioritizes 'getting things done'. Compared conventional paradigms with the AIOS paradigm, highlighting the outcome-oriented nature of AIOS and the abstraction of tooling. User refined the analogy further, highlighting the need for AIOS to transcend limitations of existing agent-based models by focusing on transparency and direct access to computational power, with 'natural language IS the software' as the guiding principle." }, { "actor": "AI", "content": "Integrated distinctions from current agent models, 'natural language IS software', abstraction layer reduction, and impact on creativity. Refined `core_problem_summary`, `high_level_goals_summary`, `key_concepts_identified`, and `foundational_statements` to incorporate these points. Presented refined exploration history. User confirmed agreement with the refined analysis and requested clarification on how AI would proactively address the identified challenges ('Known Unknowns') during project development." }, { "actor": "AI", "content": "Acknowledged user's concern and articulated plan to incorporate challenge exploration into Charter and Planning phase. Confirmed transition to Initiate phase, presented project identifiers (with corrected name), and initiated Charter drafting. User requested confirmation of CNL integration into Charter." }, { "actor": "AI", "content": "Confirmed CNL integration and presented refined Charter summary. User confirmed summary and requested full Charter text. Presented AIOS_Charter_v1.1 and initiated Knowledge Artifact creation." }, { "actor": "User", "content": "Requested more explicit incorporation of CNL philosophy ('child-friendly design', etc.) into Charter and KAs, and stated a preference for avoiding personal pronouns in AI communication." }, { "actor": "AI", "content": "Acknowledged pronoun directive and presented revised Charter summary with enhanced CNL focus. Proposed refined core glossary entries (Autologos, AIOS, CNL, Kernel Language, Emergent Dumb Terminal). User confirmed terms and definitions. Proposed capitalization guidelines for AIOS_StyleGuide_v1.1 and self-corrected to use capitalized 'AIOS' consistently for the specific system in this project. User confirmed style guidelines." } ] }, "charter": { "version": "1.1", "status": "Formalized", "vision_statement": "To pioneer AIOS as a transformative computing paradigm where 'Autologos' - a highly fault-tolerant, context-sensitive Controlled Natural Language (CNL) designed for intuitive human expression of logical intent (aspiring to be the 'Logo for the AI Age') - serves as the core kernel language. This system aims to empower users of all technical abilities by having the AI bear the primary burden of parsing, disambiguation, and interpretation, enabling direct translation of near-natural language commands into complex computational execution, realizing a truly accessible and universally adaptable 'emergent dumb terminal' that is both resource-efficient and child-friendly in its foundational logical expressiveness.", "core_problem_motivation": "Current computing paradigms impose significant cognitive and technical overhead on users, requiring specialized programming languages and complex software ecosystems, distancing users from direct intent-to-execution pathways. Conventional systems often fail on minor syntactic deviations and lack deep contextual understanding of user intent. AIOS addresses this by proposing Autologos (CNL) as a means for users to express logical intent using intuitive, near-natural language constructs, with the AIOS managing interpretation and execution, thereby minimizing the need for users to learn or memorize strict syntax and fostering a more forgiving, intent-focused interaction.", "background_context": "This project builds upon insights from prior Autologic research (Information Dynamics, Infomatics), critiques of conventional computing paradigms, and the recognized potential of LLMs to understand and generate structured language. It leverages the conceptual work on self-generating systems and pattern-based reality, applying these ideas to the domain of operating systems and human-computer interaction. The provided 'Autologos concept.md' (detailing Autologos as a CNL and aiOS principles) and 'ASO-aiOS_Engine_v3.0_Alpha.md' (illustrating Autologos in an engine script) serve as key initial inputs.", "high_level_goals": [ "G001: Formally define and conceptually elaborate 'Autologos' as a Controlled Natural Language (CNL) serving as the kernel language for AIOS, emphasizing its principles of user-centric fault tolerance, AI-led interpretation based on context, and simplicity of core logical expression ('child-friendly design').", "G002: Define the AIOS architecture as a pattern-based, self-generating system that understands and executes instructions written in Autologos (CNL).", "G003: Conceptualize and model the translation pathway within AIOS: from user Natural Language Instructions (NLI) to Autologos (CNL kernel instructions), and further to an abstracted representation of machine execution (conceptualizing for binary and future quantum substrates).", "G004: Investigate and articulate the potential of AIOS to streamline computational workflows by minimizing intermediate software layers and empowering users with direct, intent-driven control.", "G005: Position AIOS as an evolution of Human-Computer Interaction (HCI), focusing on accessibility, intuitive logical expression, and the 'emergent dumb terminal' experience." ], "specific_objectives": [ "Produce a foundational document (D001) detailing the AIOS architecture, the principles of Autologos (CNL kernel), its self-generating nature, its pattern-based operational logic, and its fault-tolerant, context-sensitive interpretation model.", "Develop conceptual models (part of D001 or a supplementary document D002) for the NLI -\u003e Autologos -\u003e Abstracted Execution translation process within AIOS.", "Conduct a comparative analysis (part of D001 or D003) of AIOS against conventional OS and computing paradigms, focusing on aspects like user cognitive load, developmental efficiency, and resource abstraction.", "Create conceptual user guidance materials (D004 or appendix to D001), such as 'Primers on Thinking Logically with Autologos' and 'Dictionaries/Cookbooks of Common Phrasings,' to illustrate user interaction, replacing traditional syntax manuals.", "Establish core Knowledge Artifacts (Glossary, Style Guide, etc.) tailored for the AIOS project, reflecting its unique CNL and operational philosophy." ], "scope_in": [ "Theoretical and conceptual development of the AIOS architecture and the Autologos CNL.", "Defining the philosophical and operational principles of Autologos as a CNL, including its context-sensitivity, fault-tolerant interpretation by AIOS, and child-friendly design principles for logical expression.", "Modeling the principles of NLI-to-Autologos translation and Autologos-to-abstracted-execution.", "Analysis of AIOS paradigm in terms of user experience, resource efficiency, and HCI evolution.", "Exploration of safety through hallucination minimization via deterministic control of LLM parameters within the AIOS concept.", "Production of core written deliverables (White Paper/Foundational Document D001, Conceptual Models D002, Comparative Analysis D003, Autologos CNL Primer D004)." ], "scope_out": [ "Building a functional, coded software prototype of AIOS or its components in this initial phase.", "Detailed implementation of specific machine code (binary or quantum) generation from Autologos.", "Development of new LLM models.", "Solving the 'Hard Problem' of consciousness or achieving Artificial General Intelligence (AGI) via AIOS.", "Empirical benchmarking of resource savings or performance against existing systems." ], "key_deliverables": [ "D001: Foundational White Paper/Document: 'AIOS: Principles of a Self-Generating Operating System with an Autologos (CNL) Kernel' (working title).", "D002: Conceptual Model Document: 'From Intent to Execution: NLI-Autologos-Machine Pathways in AIOS' (working title, may be integrated into D001).", "D003: Comparative Analysis Report: 'AIOS vs. Conventional Computing: A Paradigm Shift in Efficiency and Interaction' (working title, may be integrated into D001).", "D004: User Guidance Concept: 'Autologos Language Principles: A Primer for User Interaction and aiOS Interpretation' (illustrative, may be appendix to D001).", "KA_AIOS_Glossary: Project-specific Glossary for AIOS and Autologos (CNL).", "KA_AIOS_StyleGuide: Project-specific Style Guide.", "KA_AIOS_CollabGuide: Project-specific Collaboration Guidelines.", "KA_AIOS_SuccessMetrics: Project-specific Success Metrics.", "KA_AIOS_AIParams: AI LLM Parameter Advisory specific to AIOS development tasks." ], "key_assumptions": [ "LLM technology can be effectively guided to interpret and execute instructions based on a CNL like Autologos, prioritizing user intent and context over rigid syntax.", "The 'child-friendly design' principle for Autologos (simplicity of core logical expression) is a viable target for robust LLM interpretation.", "The 'emergent dumb terminal' model is a desirable and conceptually achievable future for HCI.", "The Author (Rowan Brad Quni) is the primary source of conceptual innovation." ], "key_constraints": [ "The project is primarily theoretical and conceptual in this phase.", "Relies on existing LLM capabilities as an abstraction layer for interpretation and generation.", "AI capabilities are as defined in the active AISkillsCatalogASO and AIOperationalProtocolsASO." ], "initial_risk_assessment": [ "R_AIOS_001: CNL Definition & Interpretation: Difficulty in defining Autologos (CNL) with sufficient precision for robust AI interpretation across diverse NL inputs, while maintaining user-friendliness and fault tolerance. (High Likelihood, Critical Impact; Mitigation: Iterative definition focusing on core logical constructs, extensive examples, context-driven disambiguation strategies for AIOS).", "R_AIOS_002: NLI Translation Ambiguity: Persistent ambiguity in translating complex or nuanced NLI into unambiguous Autologos (CNL) instructions, leading to incorrect execution. (High Likelihood, High Impact; Mitigation: Focus on AIOS's interactive clarification capabilities, develop robust contextual understanding models, define clear protocols for handling ambiguity).", "R_AIOS_003: 'Dumb Terminal' vs. Internal Complexity: Risk that the internal complexity of AIOS and Autologos interpretation makes the 'simple interface' promise difficult to fully realize or explain. (Medium Likelihood, Medium Impact; Mitigation: Maintain clear distinction between user-facing Autologos expression and internal aiOS processing; emphasize abstraction benefits in documentation).", "R_AIOS_004: Oversimplification of Machine Code Leap: Conceptual leap from Autologos (CNL) to direct machine code generation might overlook fundamental theoretical/practical hurdles not solvable by current/near-future LLMs. (Medium Likelihood, High Impact; Mitigation: Clearly scope this as conceptual exploration of a long-term vision in initial deliverables; focus on NLI-to-Autologos (CNL) as the primary, more tractable step)." ], "success_criteria_summary": "Successful conceptualization and clear articulation of the AIOS framework and the Autologos (CNL) kernel language, emphasizing user-centric design and AI-driven interpretation. Production of high-quality foundational documents (D001-D004) that persuasively argue for the AIOS paradigm's potential benefits in efficiency, accessibility, and HCI evolution. Establishment of robust KAs to guide the project." }, "plan": { "version": "1.0", "status": "Formalized", "planning_assumptions": [ "The AIOS project will proceed through iterative conceptual development, leveraging AI assistance for drafting, refinement, analysis, and project management.", "The Author (Rowan Brad Quni) is the primary source of conceptual direction and provides final approval on all outputs.", "Existing LLM capabilities (NLU, generation, reasoning) are assumed as a foundation, but no new LLM models will be developed within this project.", "The 'Autologos' concept (as a CNL kernel language) is a core architectural element.", "The project's primary focus is on defining a novel computing paradigm, not on immediate implementation or building functional prototypes.", "Success will be measured by the clarity, coherence, and persuasiveness of the conceptual framework as presented in the planned deliverables." ], "wbs_strategy_rationale": "The Work Breakdown Structure (WBS) is deliverable-focused and reflects the iterative, conceptual nature of the AIOS project. It prioritizes the development of the core written deliverables (D001-D004) identified in the Charter, with dedicated tasks for research, conceptualization, drafting, refinement, and review/approval for each deliverable. Sub-tasks are defined for key components within these main deliverable creation tasks, allowing for a flexible 'rolling wave' approach to handle emerging details. Project management, Knowledge Artifact maintenance, and potential research extensions are managed as separate, ongoing WBS branches. This strategy balances structure with adaptability for conceptual work.", "work_breakdown_structure": [ { "task_id": "T_AIOS_PM", "parent_task_id": null, "task_name": "Project Management & Oversight (AIOS)", "description": "Provides overall project management, coordination, and tracking for the AIOS project, ensuring adherence to the defined methodology, collaboration guidelines, and quality standards. Includes managing project state, logging key decisions and insights, and facilitating communication between the Author and AI.", "definition_of_done": "All project goals and objectives are met as defined in the Charter and Success Metrics, or the project is formally closed.", "is_summary_task": true, "is_milestone": false, "produces_human_deliverable": false, "status": "Not Started", "assigned_resources": [ "Author (Rowan Brad Quni)", "AI (Project Assistant)" ], "effort_estimate_qualitative": "Ongoing (Low)", "ai_skill_to_invoke": null, "specialized_process_inputs": {}, "dependencies": [] }, { "task_id": "T_AIOS_KA", "parent_task_id": "T_AIOS_PM", "task_name": "Knowledge Artifact Management & Refinement (AIOS)", "description": "Manages and updates project-specific Knowledge Artifacts (Glossary, Style Guide, Collaboration Guidelines, Success Metrics, AI Operational Protocols, AI Parameter Advisory) throughout the project lifecycle. Incorporates feedback and ensures consistency across deliverables. This task will involve refining existing KAs based on the finalized Charter (v1.1) and emerging needs during deliverable development.", "definition_of_done": "All Knowledge Artifacts remain consistent, accurate, and supportive of project execution, updated as needed to reflect changes in project scope or user feedback. Any revisions to existing KAs are presented to the user for approval.", "is_summary_task": true, "is_milestone": false, "produces_human_deliverable": true, "status": "Not Started", "assigned_resources": [ "AI (Project Assistant)", "Author (Rowan Brad Quni)" ], "effort_estimate_qualitative": "Ongoing (Medium)", "ai_skill_to_invoke": "ManageGlossaryTerm", "specialized_process_inputs": { "glossary_id_ref": "AIOS_Glossary", "action": "update", "term": "[Term to update]", "definition": "[New Definition]", "notes": "[Update notes]", "request_confirmation": true }, "dependencies": [] }, { "task_id": "T_AIOS_D001", "parent_task_id": null, "task_name": "Develop D001: AIOS Foundational White Paper", "description": "Develops the foundational white paper/document (D001) for AIOS. This will articulate the core principles, architecture, vision, and potential benefits of the AIOS paradigm, emphasizing the use of Autologos (CNL) as its kernel language. It will also present conceptual models for the NLI-to-execution pathway and a comparative analysis of AIOS against traditional computing.", "definition_of_done": "D001 completed, refined, and approved by the Author, addressing all key aspects outlined in the Charter and adhering to project style/quality standards.", "is_summary_task": true, "is_milestone": false, "produces_human_deliverable": true, "status": "Not Started", "assigned_resources": [ "AI (Project Assistant)", "Author (Rowan Brad Quni)" ], "effort_estimate_qualitative": "High", "ai_skill_to_invoke": "DraftTextualContent", "specialized_process_inputs": {}, "dependencies": [] }, { "task_id": "T_AIOS_D001_R", "parent_task_id": "T_AIOS_D001", "task_name": "Research & Conceptualization for D001", "description": "Conducts research and conceptual development for the AIOS white paper, focusing on the core problem, vision, goals, and conceptual architecture. This might involve literature review (using `ConductLiteratureSearch` or `ConductFullLiteratureReview` skills) or drawing upon the existing knowledge base.", "definition_of_done": "Core concepts for D001 defined, documented, and approved by the Author.", "is_summary_task": false, "is_milestone": true, "produces_human_deliverable": false, "status": "Not Started", "assigned_resources": [ "AI (Project Assistant)", "Author (Rowan Brad Quni)" ], "effort_estimate_qualitative": "Medium", "ai_skill_to_invoke": "ConductLiteratureSearch", "specialized_process_inputs": { "topic": "AI Operating Systems, Natural Language Processing, Human-Computer Interaction", "keywords": "operating system, natural language, intent, execution, agent-based, CNL, HCI" }, "dependencies": [] }, { "task_id": "T_AIOS_D001_O", "parent_task_id": "T_AIOS_D001", "task_name": "Outline D001", "description": "Creates a detailed outline for D001, structuring the argument, key sections, and ensuring alignment with project goals. Includes consideration of the target audience (technical/non-technical) and rhetorical flow.", "definition_of_done": "Detailed outline for D001 created, refined via internal AI critique (`MetaRefineOutputASO`), and approved by the Author.", "is_summary_task": false, "is_milestone": true, "produces_human_deliverable": true, "status": "Not Started", "assigned_resources": [ "AI (Project Assistant)", "Author (Rowan Brad Quni)" ], "effort_estimate_qualitative": "Medium", "ai_skill_to_invoke": null, "specialized_process_inputs": {}, "dependencies": [ "T_AIOS_D001_R" ] }, { "task_id": "T_AIOS_D001_D", "parent_task_id": "T_AIOS_D001", "task_name": "Draft D001 Sections", "description": "Drafts the main sections of the D001 document iteratively, incorporating research findings, adhering to the outline, and ensuring stylistic consistency with project guidelines. Uses `DraftTextualContent` skill with internal `MetaRefineOutputASO`.", "definition_of_done": "First draft of all D001 sections completed and internally reviewed by AI, ready for Author's feedback.", "is_summary_task": true, "is_milestone":