2026-01-19 - Implement Truedy newsletter workflow agent

Timeline

• 22:46 (Context) Reviewed truedy-design-prompt.md specification for complete implementation requirements
• 22:48 (Action) Created complete Truedy directory structure with 5 subdirectories (knowledge-base, capabilities, context, drafts, scripts)
• 22:49 (Action) Created root-level files: README.md, core-identity.md, truedy-init.md
• 22:50 (Action) Created knowledge-base files: haie-principles.md, section-ratios.md, edition-zero-structure.md, workflow-patterns.md
• 22:53 (Action) Created all 5 capabilities protocol files: progress-tracking.md, research-protocol.md, content-creation.md, collaboration-modes.md, strategic-thinking.md
• 22:56 (Action) Created context system files: current-session.md, progress-log.md, open-questions.md, and .gitkeep for drafts directory
• 22:57 (Action) Created Python CLI implementation in the Truedy scripts module and added requirements.txt for Anthropic integration
• 22:58 (Observation) Verified implementation complete: 19 files totaling ~150KB of documentation and code
• 23:12 (Action) Removed API dependencies from the Truedy runtime and CLI bootstrap flow
• 23:12 (Action) Updated README.md and truedy-init.md to remove API-specific references and make Truedy CLI-agnostic
• 23:12 (Action) Added migration notes documenting the architecture shift to pure prompt-based operation
• 23:13 (Action) Updated Truedy docs (README.md, truedy-init.md, capability notes) to capture the API-free implementation
• 23:16 (Observation) Truedy now operates as pure prompt-based agent compatible with any CLI system (Cline, Aider, etc.)

Context

• Reviewed truedy-design-prompt.md specification for complete implementation requirements
• Truedy is a collaborative newsletter workflow agent for The Ground Truth Newsletter
• Design includes HAIE (Human-AI Engineering) principles with defined collaboration ratios per section
• System includes knowledge base, capability protocols, context tracking, and session management

Actions

• Created complete Truedy directory structure with 5 subdirectories (knowledge-base, capabilities, context, drafts, scripts)
• Created root-level files: README.md, core-identity.md, truedy-init.md
• Created knowledge-base files: haie-principles.md, section-ratios.md, edition-zero-structure.md, workflow-patterns.md
• Created all 5 capabilities protocol files: progress-tracking.md, research-protocol.md, content-creation.md, collaboration-modes.md, strategic-thinking.md
• Created context system files: current-session.md, progress-log.md, open-questions.md, and .gitkeep for drafts directory
• Created Python CLI implementation in the Truedy scripts module and added requirements.txt for Anthropic integration
• Removed API dependencies from the Truedy runtime and CLI bootstrap flow
• Updated README.md and truedy-init.md to remove API-specific references and make Truedy CLI-agnostic
• Added migration notes documenting the architecture shift to pure prompt-based operation
• Updated Truedy docs (README.md, truedy-init.md, capability notes) to capture the API-free implementation

Observations

• Verified implementation complete: 19 files totaling ~150KB of documentation and code
• Knowledge base includes comprehensive section ratios (19 newsletter sections) and Edition Zero structure
• Capabilities protocols cover progress tracking, research, content creation, collaboration modes, and strategic thinking
• Each capability protocol includes detailed procedures, examples, and quality standards
• Truedy now operates as pure prompt-based agent compatible with any CLI system (Cline, Aider, etc.)
• No API keys or provider-specific dependencies required - works with any LLM system
• Architecture supports modular loading of capabilities based on session needs

Open Threads

• (none)

Boundary Reminder: Seeds. No maintenance. No roadmap.