Drafts . A.W. Martin

Spatial AI Framework – Outlining the core framework for a spatial artificial intelligence.
Spatial AI Subfields – Today's AI methods that fall under spatial AI but aren't all of spatial AI.
Do, Delegate, Decide – A simple leadership framework.
What Is Space? – Spatial AI – What does "space" even mean?
Machines Speaking Human – What AI means for human-computer interactions
Data Entry Must Die – The only UI paradigm we have is data entry. This must die.
To Program Is To – Programming means many things.
What Is AI? – What does "artificial intelligence" mean anyway?
Spatial Reasoning – Reasoning through space from different perspectives – agents, designers, operators, environments.
Design Space Oddity – "Designing space" is a weird phrase.
Spatial AI Agents – A deep dive on spatial agents
Our AI Expectations – Where do our expectations of AI come from?
Properties of Space – Details about how to catalog and categorize different qualities of space.
Artificially Intelligent Environments – Deep dive on the potential risks and rewards of intelligent environments.
Apple Vision Pro is Not the New iPhone – The iPhone manifested a decades-long latent opportunity; the Apple Vision Pro does not.
General-Purpose AI vs AGI – Disambiguating general-purpose AI and artificial general intelligence.
Web3 – What is Web3 and why should we care.
AI Assessment Canvas – V1 of a framework to help assess the peculiar dynamics of AI in tech companies.
Models, Systems, Simulations – The fundamentals of computational design thinking.
Why Blockchain? – Explaning the value propositions behind blockchain.
The Value Line – Do cool sh*t that others don't do better than you.
Design Computation + AI – How artificial intelligence will renew design computation and force an inflection point in computational design.
Programmable Design Semantics – Creating and automating our own languages for design initiatives.
Riffing, Selling, Telling – Calibrating your conversational intent.
Product Science 101 – Grappling with assumptions, validation, hypotheses, experiments, and testing, oh my.
Customer, Buyer, User, Beneficiary – Disambiguating the landscape of who buys, uses, and benefits from products.
Formula for Missions and Visions – Simple formula for writing mission and vision statements
Control, Influence, Concern – Why the expectations upon you are unreasonable.
Some Generative AI Value Propositions – How GenAI can change the game for computational designers.
F-Words of Design – Design is form + function + finance + feasibility + fashion + fitness.
Little Guide to Risk – A lightweight risk framework for product people.
About Product Theory – Theoretical interlude on products, services, and business models.
D-Words of Product – An oversimplified product process you can use for simple things.
Output, Outcome, Impact – Focus on the right level of thinking and doing.