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By Microsoft

4 recommend/use · 9 sourced episodes

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Mindset4 steps

Agency Over Title: The Force-Multiplier Mindset

Ignore role boundaries — use AI tools to execute your own ideas end to end

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Innovation4 steps

AI Computer Interfaces (ACI)

Give AI agents purpose-built text interfaces, not the human GUIs they were never designed for

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Self-Mastery3 steps

AI Introspection Rubric

Point an AI agent at a folder of your own notes to surface criteria you hold implicitly and turn them into a rubric.

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Strategy3 steps

Build for the Future Model

Design product ideas for the model capability that is coming, not the one you have today

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Strategy4 steps

Build for the Models Six Months Out

Ship for the AI capabilities that will land in ~6 months, not the ones available today

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Strategy3 steps

Building Trust Through Speed

Ship an honest 'research preview' early, then visibly iterate on feedback so speed builds trust instead of eroding it.

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Strategy4 steps

Build Only Where You Can Be Best (Model Sourcing)

Build in-house only where your unique data or position lets you beat the frontier; otherwise buy

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Innovation4 steps

Cannibalize Your Own Product Every 6-12 Months

Make your current product look silly on a fixed cadence instead of only shipping what users ask for

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Productivity4 steps

Chop-It-Up AI Collaboration Loop

Don't hand AI one giant spec — specify a little, review a little, repeat in tight loops.

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Innovation4 steps

Complement-the-Frontier Model Strategy

Don't rebuild foundation models — train small specialty models that attack their weaknesses in speed, cost, and niche tasks.

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Innovation5 steps

Core-Behavior Synthetic Training

Ship an AI feature by naming its 3-4 core behaviors and teaching them with model-generated data

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Leadership3 steps

Deliberate Low-Leverage Leadership

Choose the nitty-gritty tasks 'anyone could do' — because when a senior leader does them, they become high leverage.

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Innovation4 steps

Disassemble the Lego Set

Don't digitize the old thing — reassemble the pieces into an experience native to the new platform.

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Entrepreneurship4 steps

Dogfood-Driven Realism

Be the end user, use your product intensely daily, and never ship anything that isn't useful to you.

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Productivity4 steps

Eval-First AI Product Development

Define what 'correct' looks like as evals first; the spec becomes the scorecard, not the build instructions

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Self-Mastery4 steps

Fall-On-Your-Face Taste Calibration

Deliberately push AI past its limits in a safe environment to build a gut feel for what it can do.

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Productivity5 steps

Flow-Preserving AI Assistance Design

Design AI suggestions around the user's flow state: no panel switches, no waiting, ephemeral by default

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Self-Mastery4 steps

Generative-First Skill Stack for the AI Era

When making things gets cheap, your bottleneck becomes idea generation — train that muscle, plus just enough coding

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Productivity3 steps

Give It Your Hardest Task

Evaluate a serious AI tool on your gnarliest real problem, not a dumbed-down toy.

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Strategy4 steps

High-Ceiling Market Test

Attack markets with a high ceiling and easy switching; incumbents win only where there's little left to build.

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Productivity4 steps

Hills-and-Valleys: Getting Value From Probabilistic AI Tools

Be patient and explicit, start small, and learn where the model is strong vs weak

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Entrepreneurship4 steps

Irrationally Optimistic, Uncompromisingly Realistic

Push hard toward a future you believe in while killing your own hypotheses as data arrives

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Communication3 steps

Kind and Candid

Reframe candor as an act of kindness so you actually deliver the hard message.

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Strategy4 steps

Knowledge-Work End-State Idea Generation

Pick an area of knowledge work and reason forward to its end state as AI matures — then build for that.

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Innovation3 steps

Legibility Framework for Spotting Frontier Ideas

Hunt for illegible ideas — the ones with real energy that nobody can quite articulate yet — and translate them.

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Innovation4 steps

Live in the Future, But Not Too Far

Hold the far-future vision, but land with users where they already work today.

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Sales4 steps

Match Go-To-Market to Buyer-User Alignment

Pick developer-led, PLG, or direct sales by asking one thing: are the buyer and the user the same person?

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Innovation4 steps

Mixed-Initiative Contextual Assistance

Surface AI help at the moment it's relevant instead of interrupting with notifications.

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Innovation4 steps

NLX: Designing the Natural-Language Interface

Conversation is an interface with real constructs — design it, don't just let the model lead

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Sales4 steps

Outcome-Based Pricing Qualifier

If the work is autonomous and the result is measurable, price the outcome — not the tokens.

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Innovation5 steps

Persona-Framing for AI Product Behavior

Pick a human metaphor for your AI, then derive its behavioral guardrails from that role

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Productivity4 steps

PM Prototype-to-Production Handoff

PMs build a working V1 with AI, validate it with real users, then hand a working artifact to engineering

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Innovation3 steps

Prompting-as-Prototyping

Validate a product idea by prompting a model in a local browser before building anything

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Productivity4 steps

Prompt Sets Are the New PRD

Communicate product ideas by building the prototype, not writing the doc — demos before memos

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Innovation7 steps

Research-to-Product Graduation

Move an incubated moonshot from the research lab to a product team without killing it or trapping the researchers

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Leadership4 steps

Roadmap-Less Agility for AI-Era Building

Drop the explicit roadmap and jump on capability drops the moment they land

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Leadership3 steps

Roasting Plus High Standards

Let the team feel safe enough to roast you, then apply high standards without fear — safety makes rigor easier.

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Productivity4 steps

Root-Cause Context Engineering for AI Coding

Don't just fix the AI's bad code — root-cause the missing context so it's right next time.

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Strategy4 steps

Solve Before Scale

Run in a distinct 'solve' mode before you ever switch to 'scale' mode

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Productivity3 steps

Stratified Design Work

Split your time between supporting engineers' execution and setting a 3-6 month vision, not polishing mocks.

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Strategy5 steps

The 60/30/10 Portfolio Capacity Split

Allocate team capacity across incremental wins, operations, and audacious bets before priorities compete

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Leadership4 steps

The Dehydrated Company Hiring Model

Only hire when a function is underwater, so headcount forces ruthless prioritization

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Leadership3 steps

The Most Impactful Thing Today (with the Honesty Test)

Wake up asking what maximizes impact — then interrogate your answer for skill-set bias.

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Communication5 steps

The Teach-Me-Something-In-One-Minute Interview

A 60-second timed teaching exercise scored on completeness, complexity, and clarity

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Productivity4 steps

The Teammate Onboarding Model for AI Agents

Adopt a coding agent the way you'd onboard a new intern — pair first, then delegate.

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Innovation4 steps

The Three Dimensions of an Agent

Score any 'agent' on autonomy, complexity, and natural interaction — each a spectrum

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Strategy3 steps

The Three-Segment AI Market Map

Frontier models, tooling, or applied agents — pick the layer that fits your capital and your edge.

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Innovation4 steps

The Two-of-Three Inflection Test

Only build a new zero-to-one product when at least two of three inflections line up

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Leadership4 steps

Three Designer Hiring Archetypes

Hire for one of three profiles — block-shaped generalist, deep-T specialist, or the crack new grad.

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Mindset4 steps

Turn Advice Into a First-Principles Framework

Don't collect rules — ask why, triangulate three people, and rebuild the reasoning underneath.

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Leadership4 steps

Two-Day Work-Test Hire

Bring finalists on-site for two days to do a real end-to-end project — it screens skill and fit at once.

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Strategy4 steps

Unblock the Review Bottleneck

The limiting factor on AI productivity is human review speed — engineer the agent to validate its own work.

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Mindset4 steps

Update Your Priors: The AI Capability Arbitrage

Re-test what AI can do today and demand more of it — old scar tissue is leaving alpha on the table

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