human-AI collaboration

Research with AI #3: Automating My Research (I Wasn't)

What happened when I built my own agentic AI research team

"Everyone's building agentic AI research teams. I tried it too. Turns out I was doing methodology, not automation."

Research with AI #2: Agents, Honestly

What every AI agent type trades away, and how to choose yours

"AI agents for knowledge workers: every deployment option trades away safety, accessibility, openness, or sovereignty. A framework for choosing honestly."

LOOM XVII: The Polanyi Inversion

What Happens When We Can Tell More Than We Know

"Polanyi's paradox: we know more than we can tell. AI inverts this — we can now tell more than we know. When friction dissolves, articulation outruns understanding."

Post-AGI Organizations III: What Collaboration Becomes

Thirteen AIs on What Collaboration Becomes — and the One Meeting None of Them Can Imagine

"We asked thirteen AI systems what their organizational visions mean for human-AI collaboration. They proposed four genuinely different relationships — from colonial translation to signal coupling to complementary strengths to political redistribution. Every model agrees the current medium is wrong. Not one can describe the meeting where someone resists the change."

Post-AGI Organizations II: Thirteen Lenses

How Thirteen AI Systems Try to Think Past Human Assumptions About Organization — Through Physics, Biology, and Political Economy

"We asked thirteen AI systems to interview themselves about organization — choose their own questions, answer them, surface whatever logic lives in their architecture. They reached for physics, biology, political economy, and phenomenology. Between questions, the humans they had centered as partners quietly drifted toward infrastructure. And hierarchy disappeared everywhere."

Post-AGI Organizations I: Thirteen Dreams

What Thirteen AI Systems Design When Asked About the Future of Organizing

"We gave thirteen AI systems — from GPT-4 Turbo to DeepSeek to Seed 2.0 Pro — a blank canvas to design the future of human-AI organizations. They built welfare states, thermodynamic commons, creator economies, and consulting frameworks. Some reached for metaphors no human researcher would combine. None of them imagined organizational politics."

Research with AI #1: The Foreclosure Problem

AI makes you faster at finding what you already know to look for. That's the problem.

"The foreclosure problem: how AI literature review tools optimize for speed over discovery, quietly narrowing what you might have considered — and how to build a Claude Code thinking partner that broadens it instead."

LOOM XVI: Are You Climbing the Right Hill?

When Rigor Becomes the Wrong Kind of More

"A researcher discovers that optimizing a research design with AI created a local maximum — five stages of performed rigor on the wrong hill. What happens when you bring a task instead of a doubt?"

"Human-Centric AI" Is the Wrong Story

A ceramicist's ritual, Anthropic's constitution, and the posture that changes what becomes possible

"What if centering on humans in AI discourse performs human primacy while missing what happens when tools have tendencies of their own? A ceramicist's bow to the kiln god offers another way."

Your Next AI Framework Might Be Centuries Old

What a tailor shop taught me about AI agents

"How a London tailor shop reveals an alternative to scripted AI coordination—where judgment, traces, and ongoing participation replace rigid handoffs."

Claude Cowork: The Easy Part Is Over

The Terminal Fell—Now What?

"Claude Cowork brings Claude Code to knowledge workers without the terminal. But the real barrier was never the interface — it's knowing what to delegate vs. dialogue."

What I'm Thinking, January 2026

"Researching algorithmic organizing while doing it — what governance looks like when AI systems are participants, not just tools. Joining SKEMA to find out."

The Ghost in the Machine

An AI-native organization emerging in Anthropic's Claude product stack

"Anthropic's Claude architecture as organizational design — how bounded contexts, MCP, and transparent memory reveal principles that collaboration requires."

Research Memex: Working at the AI Research Frontier

One approach to human-AI research collaboration, demonstrated through systematic reviews

"The seahorse represents the hippocampus. It doesn't exist, and AIs hallucinate that it does. Working honestly with gaps requires seeing the hallucination and building with it anyway."

LOOM XIV: The Calculator Fallacy

When AI Qualitative Analysis Meets Human Expectations

"The calculator mindset expects AI to deliver objective truth in interpretive work. What gets blocked is the third space where understanding emerges."

Post-AGI Organizations: AI’s Blind Spot and Ours

On Artificial Logic, Human Wisdom, and the Future of Organizing

"Three AIs envision post-AGI organizations with cold logic but no 'smell' for human reality. Their blind spot mirrors ours. The gap reveals a new framework."

LOOM XI: Navigating the Unnamed Between — An Epistemic Love Letter

When Vulnerability Becomes Method at the Edge of Knowing

"The most valuable insights emerged not from optimization but from breakdown—when polished drafts felt wrong despite meeting all conventional criteria."

LOOM X: The Whispered Agency

A Dialogue on Human Capability in the Age of AI

"Through attempting to create artificial agency, we rediscover dimensions of human capability that were always present but perhaps overlooked."

LOOM IX: The Six Dimensions of Understanding

Mapping Human-AI Collaborative Intelligence

"Six dimensions where human and artificial intelligence create understanding neither could achieve alone—from temporal navigation to purpose alignment."

LOOM VIII: Beyond Teammates

Why organizations won't just use AI as teammates—they'll evolve around emergent intelligence

"From AI as tool to AI as teammate to something more—sustained interaction creates a third space where qualitatively different understanding emerges."

LOOM VI: The Pattern Beneath the Voices

Cognitive Signatures in Human-AI Research: Towards a Resonant Methodology

"Different AI models reveal distinct theories of how understanding emerges—through dialogue, classification, or achievement-oriented progression."

LOOM IV: Dialogue as Method

A Letter on Knowledge Co-Creation in the Age of AI

"When dialogue becomes method, the boundaries between researcher and subject, between human and artificial intelligence, begin to blur in productive ways."

LOOM II: The Organizational Weave

Where Human and Machine Minds Meet to Reveal New Patterns of Understanding

"Organizations aren't just settings where AI gets deployed—they're complex social systems where meaning emerges through structured interaction."

LOOM: Locus of Observed Meanings

The Moment of Shift

"From seeing AI as instrument to experiencing it as interlocutor—exploring new possibilities where meaning emerges through human-AI interaction."