# dakotaOS The site of Dakota Fabro (they/them): design engineering, human-AI collaboration research, and the measurement instruments behind it. Agents: every blog post is available as plain markdown at /blog/.md. An MCP server is at /mcp (Streamable HTTP). Public tools are read-only: list_posts, get_post, get_site_info. ## Pages - [dakotaOS](https://dakotafabro.dev/): Design Engineer, Organizational Intelligence Engineer, Research Scientist. Building products that make humans more capable, and measurement instruments that prove it. - [Three Dimensions of AI Collaboration Maturity](https://dakotafabro.dev/human-ai-collaboration-maturity): DOK, Agentic Delegation Trust (ADT) and a third dimension, measured from practice. - [Collaboration Depth Model](https://dakotafabro.dev/collaboration-depth-model): A three-dimensional methodology for measuring human-AI collaboration growth. Tool-agnostic. Built from practice. - [The Six Pillars](https://dakotafabro.dev/pillars): Sovereignty. Measurement as Care. Frameworks from Practice. The Lens Stack as Integration. Stewardship. Signal over Performance. - [Organizational Intelligence Engineer](https://dakotafabro.dev/oie): An engineer who builds the systems that make an organization intelligent, composable, and self-aware. - [Prototype Lab](https://dakotafabro.dev/lab): Case studies from shipped features, validated prototypes, and published research. - [dakotaOS Build Log](https://dakotafabro.dev/blog): Reflections on human-AI collaboration, engineering craft, and the practices that travel with you. ## Blog - [How do I know what I don't know?](https://dakotafabro.dev/blog/how-do-i-know-what-i-dont-know.md): When an agent asks you what you think, it's asking you to produce the whole answer space, which is the one thing you can't do at the edge of what you know. A possibility matrix hands you the space and asks you to check premises instead. - [Nervous System as Measurable Signal: What Stress Looks Like in Cognitive Depth Data](https://dakotafabro.dev/blog/nervous-system-measurable-signal.md): On February 26, 2026, cognitive depth data showed something unexpected. DOK 3 spiked to 35.5% under acute organizational stress. The nervous system is visible in the data. - [AI-Assisted Flow States: What Happens to Human Creative Capacity When AI Is a Collaborator](https://dakotafabro.dev/blog/ai-assisted-flow-states.md): During a rapid prototype sprint, something happened that productivity metrics would never capture. The work moved fluidly from idea to implementation to revision, in a continuous loop that felt less like coding and more like improvisation. This is an AI-assisted flow state. - [Compression of Intent: When Shorter Prompts Mean Deeper Thinking](https://dakotafabro.dev/blog/compression-of-intent.md): As practitioners advance in human-AI collaboration, their prompts get shorter. Current measurement systems read this as regression. It is exactly backwards. - [What Extended Thinking Actually Looks Like — A Field Guide to DOK 4](https://dakotafabro.dev/blog/dok-4-field-guide.md): Most conversations about AI collaboration focus on speed. There is a category of cognitive work that AI collaboration makes possible — not faster, but deeper. Over 35 days of systematic self-measurement, five sessions reached DOK 4: Extended Thinking. This is a field guide to what those sessions looked like, what they share, and how to deliberately enter that territory. - [Three Dimensions of AI Collaboration Maturity](https://dakotafabro.dev/blog/three-dimensions-ai-collaboration-maturity.md): Most AI adoption frameworks are built for software engineers. But the mismatch between tool capability and human readiness exists in every profession. Here's a three-dimensional framework for understanding where you are and where the growth lives. - [The Orchestra Model: When AI Collaboration Becomes Art](https://dakotafabro.dev/blog/the-orchestra-model.md): Steve Yegge's Gas Town is brilliant for scaling AI-assisted coding to industrial levels. But what if throughput isn't your only goal? The Orchestra Model offers a companion metaphor — one focused on creativity, stewardship, cognitive depth, and creative expression. ## Elsewhere - [possibility-matrix](https://github.com/dakotafabro/possibility-matrix): decisions as options with premises, for agents and the humans who use them - [learning-mode](https://github.com/dakotafabro/learning-mode): an agent protocol that optimizes for skill building over shipping speed