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ADHD-AI Technical Memoir

“How do ADHD cognitive patterns structurally parallel agentic AI architectures, and how can this insight be communicated as a marketable technical memoir?”

adhd ai paralleltechnical memoir craftinfrastructure first

Building & Testing

  • -Phase 11 manuscript analysis for marketing preparation
  • -Core themes extraction from 6 backbone chapters + 24 constellation pieces
  • -Reading path design for multiple audience segments
  • -Marketing concept validation and positioning

Recent Progress

  • +Completed Phase 11 manuscript analysis (2026-01-20)
  • +Extracted 5 core marketing themes from draft content
  • +Mapped target audiences: Tech leaders, neurodivergent professionals, AI practitioners
  • +Defined reading paths for different consumption preferences

Related Artifacts

ADHD-AI Book Core ThemesADHD-AI Book Marketing ConceptsADHD-AI Book Target AudiencesADHD-AI Book Reading PathsADHD-AI Book Quotable InsightsClaude Book Architecture And Outlining

Deterministic AI Agent Infrastructure

“How do you build deterministic, human-in-the-loop AI coding agent infrastructure that verifiably completes work with auditable artifacts?”

claude skills factoryclaudeops devops for aihuman in the loop governance

Building & Testing

  • -GSD (Get Stuff Done) workflow framework integration
  • -Claude Code plugin harness with deterministic stop gates
  • -Video explainer content for HIL infrastructure
  • -Phase-based execution with PM approval checkpoints

Recent Progress

  • +Integrated GSD as core workflow engine in harness builder
  • +Created 4-minute narration script for HIL explainer video
  • +Built 15-minute deep-dive tutorial with 20 scenes
  • +Documented non-negotiables: deterministic file-based state over chat narration

Related Artifacts

Claude Code Harness BuilderGSD Narration Script: Human-in-the-Loop InfrastructureGSD Tutorial ScriptGSD Deep Dive Tutorial (20 Scenes)Claude Code Harness Explainer VideoPlan: Integrate GSD as Core Workflow

Zero-Maintenance Knowledge Automation

“How do you build a production-grade knowledge automation system with auto-tagging, auto-linking, and graph visualization that requires zero ongoing maintenance?”

knowledge graph architecturemcp server patternslocal first ai infrastructure

Building & Testing

  • -MCP server pipeline with 100% note coverage (1,573 notes)
  • -Hybrid search: FTS + semantic + graph traversal
  • -React frontend with 2D/3D force-directed visualization
  • -SQLite-backed state with Ollama local LLM processing

Recent Progress

  • +Achieved 100% RAG coverage across knowledge base
  • +Completed documentation audit and generation plan
  • +Indexed 4,661 tags with auto-extraction pipeline
  • +Integrated discovery_connections for concept bridging

Related Artifacts

Knowledge Graph Visualizer Documentation PlanThread Map for negrini.ioGraphRAG System Capabilities OverviewAI Knowledge Graph CapabilitiesObsidian AI Mind Map ProjectKnowledge Orchestration Ecosystem Architecture

Agentic Context Engineering Patterns

“What are the foundational patterns for building production-grade agentic AI systems with proper memory architecture and multi-agent orchestration?”

agentic context engineeringmemory architecture patternsmulti agent orchestration

Building & Testing

  • -Four-layer memory architecture implementation
  • -Nine scaling principles codification
  • -Context-as-compiled-view pattern validation
  • -Multi-agent orchestration pattern library

Recent Progress

  • +Synthesized 96KB comprehensive reference specification
  • +Documented nine failure modes and anti-patterns
  • +Defined ACE self-improvement framework
  • +Created platform guardrails checklist

Related Artifacts

Agentic Context Engineering: Comprehensive Reference SpecificationAI Memory System DesignAgent Communication Protocols ResearchSDAS Strategic Implementation GuideTechnical Specs to Executive WorkflowClaude Desktop Agentic System Architecture