Community · Research Studio · Strategy Practice

GraspingAI is a community for thoughtful people navigating the opportunities and implications of AI together.

We bring together research, design, philosophy, and practical experience to help people make sense of AI and build better systems around it.

What GraspingAI is

A different kind of AI organization.

Research studio

We study how AI systems shape judgment, trust, work, and organizations.

Strategy practice

We help turn that thinking into better decisions, methods, workshops, and advisory work.

Public thinking space

We share essays, talks, concepts, and frameworks for making sense of AI.

Community of practice

We gather people across disciplines to think, learn, and work together.

Members of the GraspingAI community in conversation

What happens here

Four ways we work.

Informed Exchange

Not just content: speaker series, interviews, roundtables, and real exchange.

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Practical Learning

Workshops, explainers, and frameworks for navigating AI thoughtfully.

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Expertise in Action

Consulting, advisory, and organizational AI adoption support.

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Scalable Systems

Research projects, experimental methods, and decision frameworks.

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Research and experiments

Current projects.

AI Leaders Need Philosophers

An in-progress inquiry into the gap between AI leaders calling for philosophical thinking and the actual availability of philosophy-informed roles in tech, and what a real path into the field could look like.

Intentional Systems

A research framework for designing AI systems that preserve human agency, support meaningful choice, and remain legible to the people affected by them.

Metaphor Infrastructure

A project mapping how AI interface metaphors, including assistant, agent, copilot, brain, and tool, shape trust, agency, and use.

Organizational AI Adoption

Frameworks for helping organizations adopt AI without weakening judgment, accountability, culture, or decision quality.

Philosophy Works

A guided career-development project helping philosophers understand their options, translate their experience, find resources, and take practical next steps.

Project Audit Goblin

Nielsen's heuristics have served design for thirty years, but they were written for deterministic software, and AI systems break most of them. A practical evaluation method for AI-powered products: usability, trust calibration, metaphor coherence, expectation alignment, and failure handling.

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