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Marketing5 steps

Consistent, Distinctive, Famous

The three-word brand brief for founders — and why fame is the nonlinear one nobody names.

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Leadership5 steps

Design for Humanity, Not the Organogram

Small teams plus human briefs beat large teams plus metrics — reciprocity does not scale.

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Innovation3 steps

Designing Robots That Feel Non-Threatening

Make robots soft, attentive, and telegraph intent before they move.

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Productivity4 steps

Draft-First LLM Augmentation

Never ask the model to do your job — write your version first, then have it improve it.

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Innovation4 steps

Fake the AI Before You Build It

Never train a model for an MVP — prototype the AI's output and test demand first.

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Marketing5 steps

Idiosyncrasy Preservation (The Stand-Up Comedian Test)

Protect the odd, inconsistent details of your product — idiosyncrasies count double.

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Innovation5 steps

MAYA: The Right Amount of Weird

Ship the most novelty a market will swallow — one notch past familiar, never past comprehensible.

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Innovation3 steps

Off-the-Shelf to Prove It, Custom to Ship It

Prototype with whatever works fastest; go custom only when KPIs demand it.

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Strategy3 steps

Right Robot for the Job (Not a Generalist Humanoid)

Match robot form to the task; reserve humanoids for the long tail, not the line.

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Strategy3 steps

Supply-Chain Criticality Hierarchy

Rank every component by how catastrophic losing it is — then pre-buy the killers.

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Influence4 steps

The Adjacent-Precedent De-Risk Pitch

Win leadership buy-in for a big AI bet by anchoring it to a past bet that already worked.

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Self-Mastery5 steps

The AI PM Upskilling Path

Learn the fundamentals, shadow a research scientist an hour a week, and build one model end to end.

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Strategy5 steps

The Double Lock (Sober and Drunk)

Debate every big decision twice — once rationally, once psychologically — and only act if both agree.

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Leadership4 steps

The Four Challenges of AI Product Management

Uncertainty, pivots, data scarcity and a broken promo path — the four taxes of the AI PM role.

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Innovation4 steps

The Four Principles of Building Hardware Fast

Sequence the work so hardware's un-updatable, one-shot nature can't sink you.

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Strategy4 steps

The Model Launch Bar

With probabilistic products, the PM — not the scientist — decides what accuracy is good enough to ship.

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Innovation5 steps

The Parallel Sweet Spot: Psychological, Technological, Economic

Solve all three constraints at once — running them in series is how great products die.

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Strategy4 steps

The Shiny Object Trap (Problem-First AI)

A regular PM ships the right product; an AI PM solves the right problem.

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Innovation5 steps

The Single Affordance Rule

One product, one job. Added functionality can subtract value by destroying clarity of purpose.

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Marketing5 steps

The User Imagery Adoption Test

Adoption stalls on who owns the product, not what it does — audit your user imagery before you scale.

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Entrepreneurship6 steps

Treat Your Course Like a Product

Hypothesise the audience, interview them, iterate the ICP, and run three weeks — not one.

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Innovation3 steps

You Only Get to Compile Five Times

Treat every hardware build as one of a handful of irreversible compiles a year.

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Leadership4 steps

Zero-to-One Team Building

For brand-new categories, hire generalists, adjacent-domain experts, and AI-native new grads.

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