Gemini

Adaptive Evaluation Over Static Benchmarks

Measure AI robustness with attackers that learn, not with a frozen dataset of yesterday's attacks

Adversarial Multi-Model Peer Review

Have rival LLMs review each other's code and fight it out until no issues remain

Influence3 steps

Anchor High, Never Split the Difference

Find the ceiling; a reflexive split leaves six figures on the table

Influence4 steps

Anchor the Pitch to the Exec's Incentives

Find the metric, OKR, or board pressure they own, then show how your idea moves it.

Architect-Then-Delegate AI Product Building

Use AI to prototype and fill scoped sub-segments, but architect and lock the system yourself — don't cognitively surrender.

Best-Idea-Wins Culture: Speak Up, Then Commit

Engineer a culture where the junior person's idea can win — then walk the chosen path decisively.

Influence4 steps

Build Champions Before the Offer

The negotiation starts sooner than you think — plant reciprocity and recruit coaches across the org

Entrepreneurship3 steps

Build in Private (Best Work Is Done Alone and Quietly)

Skip the public-building playbook and pour your limited time into customers and product instead.

CaMeL Permission Pre-Restriction

Grant an agent only the permissions its stated task needs, decided before it runs

Center of Gravity: Customer vs Employee vs Investor

Every company has one true center of gravity — know which, and re-engineer incentives to move it deliberately

Chop-It-Up AI Collaboration Loop

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

Cohort-and-Control Data Reading

Never trust pre/post dashboards — read behavior by cohort and judge changes by variant-vs-control so the macro can't fool you.

Complement-the-Frontier Model Strategy

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

Concentric-Circles Portfolio (Earn the License to Expand)

Obsess over a flawless, efficient core; that attention earns you the license to make growth bets in the outer rings.

Concierge Manual Onboarding

Hand-onboard every early user one-to-one to manufacture superfans and dodge premature self-service engineering

Control the Channel, Pace, and Field

Never negotiate over email; slow it down and pick the room where you win

Marketing3 steps

Credits-for-Sharing Loop

Pay users in product credits to publicly share what they built — turn usage into free distribution.

Critique in Public, Build Trust in Private

Invert the management-book rule: debate directly in public, lavish reassurance in private.

CV > EV > TV > ME: The Prioritization Hierarchy

Rank every decision by Customer, then Enterprise, then Team, then self — and detect managers who invert it

Cycle-Time Is the Enemy (Ship Ship Ship)

The gap between knowing something is good and users seeing it is your biggest enemy — attack the decision time, not the work time.

Define What Problem Matters

The single highest-leverage PM skill: get crystal clear on which problem you're solving, first

Deflect the Number Question

Never name your figure first; make them reveal the range instead

Design For Tomorrow's Majority, Not The Vocal Minority

Optimize for the far larger future user base, then manage the unhappy few with authentic listening.

Designing Robots That Feel Non-Threatening

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

Differentiate Above The Model, Not Around Its Gaps

Build your moat outside the LLM so your product gets better as the models get better.

Distribution Beats a Commodity Product

When products in a category are basically interchangeable, an adequate product with superior distribution wins

Dive-In Career Strategy for a Platform Shift

Facing a disruptive technology, submerge yourself in it and aim to hold at least two of three career pillars

Dogfood-Driven Realism

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

Influence3 steps

Don't Be Stingy With Words

People can't read your mind — make appreciation explicit, and never fake it.

Driving AI Adoption Through Hard Constraints

AI transformation moves when you impose hard constraints, sort people into three groups, and fix the slowest part of the system.

Earn The Next Role By Driving Impact In This One

Stop eyeing the next promotion; be judged on impact delivered in the job you already hold.

Finance3 steps

Enterprise Land Price Floor (Defendable ACV)

Land enterprise deals at 75K-150K — a cheap land price poisons your expand.

Innovation6 steps

Error Analysis: Open Coding to Axial Coding to Count

Turn messy LLM logs into a prioritized list of failures before you write a single test.

Eval Triage: Decide What Actually Deserves an Eval

After counting failures, route each one to a prompt fix, a code check, or an LLM judge — not all three.

Finance4 steps

Expand the Pie with Performance Triggers

Break the salary band by making it 'we' and tying pay to outcomes

Peak Performance3 steps

Exposure Hours

Build taste as a trainable skill by quantifying time spent watching real people use products

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.

Sales3 steps

First-Call Yes-or-No Qualification

On the first call it's yes or no, never maybe — a no is data that saves the relationship.

Flash Tags: Labeling the Intent of Every CEO Message

As you scale, tag every message with its intent so an offhand comment isn't executed as a mandate

Self-Mastery5 steps

Follow People, Not Plans

Choose jobs by who you'll learn from, not by a five-year plan or a financial bet.

Follow the Breadcrumbs and Calibrate Urgency

Act fast on an exec's subtle hints, but ask how strongly they actually feel first.

Marketing5 steps

Four Criteria for Choosing a Distribution Platform (Enter and Exit)

Score a new platform on retention, monetizability, value exchange, and scale — then plan your exit before you enter.

Friction Smells: Signs Your Team Can Move Faster

The tell-tale signals that friction, not capability, is capping your team's speed

Innovation5 steps

Game Design, Not Gamification (Build Toys, Then Games)

Make software fun by designing real toys that reward playful exploration — not by bolting on points and badges

Peak Performance3 steps

Genius-Zone Time Budget

Spend at least 50% of your time on the work you're both great at and love — it's what keeps you showing up.

Go All-In When the Experiment Works

Big companies experiment plenty — they fail by hedging instead of doubling down on what works.

Guardrails Before Control

Set the quality bar, coach to it, then buy control only for the gaps that remain.

Guilty-Pleasure Career Bet

Find the thing you feel guilty getting paid for, do the hell out of it with intensity, and take non-linear risks.

Gut-Over-Data Bets (When the Numbers Say No)

Make bets the data argues against when you intrinsically understand a real, unsolved end-user problem.

Hardest-Side-First (One-Player Mode)

Pre-PMF, ignore marketplace dynamics: own the hardest side and hack the other one.

High-Ceiling Market Test

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

Hire a Founder-Cosplayer, Not a Salesperson

For the first enterprise rep, hire someone who can cosplay the founder — vision, not scripts.

Hire Slow, Fire Fast: The Spiky-Hire Executive Playbook

Beat the 50% executive-failure rate by hiring spiky over well-rounded and running real blind references

Hiring as Marketing, Sales and Product

Run recruiting like a business funnel — brand, discovery call, and an iterative role spec

Hypothesis-to-Data Over Strategy

For most PMs, strategy is overrated — your real job is to shrink the time from hypothesis to data.

If You Want to Kill a Plant, Have Two People Water It (The DRI Rule)

Every important cross-functional outcome needs one Directly Responsible Individual with real power

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.

Mindset5 steps

Ladder vs Map

Choose career moves by what makes an interesting life, not by what climbs the next rung

Learn the Tokens, Not the Depth

In the AI era, master the symbolic vocabulary of a domain rather than its exhaustive depth

LLM-Optimized Codebase Architecture

Structure your repo so the AI writes the least code possible — infrastructure absorbs the complexity.

Manufacture Your Own Supply

Find the asset blocking non-suppliers from supplying, then rent it to them with strings attached.

Marketing5 steps

Meet-The-Customer-Where-They-Are Marketing

Put your product into the customer's context and re-tune the message for each adopter tier and market.

Mega Trend vs Hype Cycle — The PhD Test

If you need a PhD to understand it, it's not a mega trend. Don't fight mega trends.

Micromanage the Decision, Not the Operation

Sweat only the few details that matter for the customer — control the decision, delegate the doing.

Milestone-Gated Launch Sequence

Don't spend a dollar on marketing until users start sharing your product unprompted.

Model Casting by Personality

Route each task to the model whose 'personality' matches, and split plans to fit

Morale Is Made of Progress

In a downturn, no speech and no bonus works — only visible shipping keeps a team alive

Naturally Hedged Product Portfolio

Build products that make money in opposite macro conditions so troughs in one are peaks in another.

Negotiate From Genuine Indifference

The best position to sell your company is being genuinely fine not selling it.

Finance4 steps

Net Revenue Retention Above 100% (and Why NRR Lies)

Expansion revenue must beat churn, but NRR flatters you — watch logo churn too.

Nine Nos For Every Yes

Guard product quality with creative restraint — every feature you say yes to is a puppy you must care for forever

NLX: Designing the Natural-Language Interface

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

North Star Exploration

Turn aimless tech-tinkering into learning by chasing an arbitrary-but-real goal and being stubborn about reaching it.

Nothing Is Above Them, In The Details, They Adapt

The three traits Shah observed in Bezos, Chesky and Sacks — humility, craft, and adaptation

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

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

Opinion-Based Decisions for 1.0 Products

For a first-of-its-kind product, empower a tiny 'tastemaker' team to make gut calls — data can't yet exist.

Own-the-Framing Design Partnerships

Design partners guide the build — set the pricing frame up front and filter feedback 80/20.

Own the Story — No Packet Loss

The leader is the custodian of the message — deliver it to the front line yourself, never via cascade.

Pain-Plus-New-Technology Idea Selection

Judge what's worth building by pairing a habituated pain with a newly-arrived technology that can finally solve it.

Pick Hard Problems to Attract the Best Team

Hard, important problems attract the best people — and business is a team sport.

Platform Betting Strategy by Company Stage

Late-stage companies spread chips across platforms; startups make one focused bet and go all in.

Positioning Before Pricing (The Single-Attribute Position)

Own one clear position that is unique, available, and reinforces your product strategy — then let it dictate price

Productivity3 steps

Prescriptive vs. Framework Metrics

Know whether your metric is a recipe or a lens — and never misuse a recipe

Mindset4 steps

Presume Radical Uncertainty (The 1997 Lens)

Treat an emerging platform as if it were 1997 for the internet: assume most of it doesn't work and you can't yet name the winners

Price-Elasticity Three-Response Model

When a technology makes something cheaper, work out which of three demand responses your market will take

Pricing Selects the Market (Sell Growth, Not Savings)

Price and positioning choose your market — reframe your product as growth to charge many times more.

Prime-Then-Parallelize AI Coding Workflow

Front-load the architecture, fan out to agents, then step back and evaluate

Product-First AI Prompting

Steer AI builders by describing the end-user experience ambitiously, then iterate like you're coaching a collaborator

Prompt Sets Are the New PRD

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

Rank, Don't Filter

Every user-facing filter silently carves out your supply — turn preferences into ranking signals.

Read Old Books You Know Nothing About

With ~50–100 books left in a lifetime, spend them on time-filtered classics in domains you're ignorant of.

Influence5 steps

Reframe, Don't Push Back

Win a disagreement with your CEO by finding the goal you already share, then renaming the problem

Communication5 steps

Reframe Metrics to Leadership's Language

Pick two or three metrics that speak the exact word your leaders keep repeating

Remove the Emotional Filter From Decisions

Strip emotion out to get the raw decision, then handle feelings separately afterward.

Reps-to-Judgment (Building Product Sense)

Product sense isn't taught — it's earned through thousands of shipped micro-decisions with the shortest possible cycle time.

Right Robot for the Job (Not a Generalist Humanoid)

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

Right to Win via Permission to Play

Before building, ask if it's logical that YOU built it — and whether you have a route to market.

Root-Cause Tooling Post-Mortem

When AI botches something, ask what in its prompt caused it — then patch the tooling

Running Products via the Daily Meeting

Assign one owner to an urgent problem, give them unlimited resources except time, and force a daily report until it's solved.

Sell the Alpha (Gap Selling vs Problem Selling)

Sell leaders the opportunity to become a superhero, not a fix for a narrow problem.

Sales3 steps

Services-First Foot-in-the-Door

Sell enterprises a service they already know how to buy, then migrate them to the product.

Influence3 steps

Shrink the Change to Build Trust

De-risk a scary idea into a two-week experiment with a fixed check-in date.

Single-Channel Build-in-Public Bet

Find the one channel that resonates with your exact audience, then double and triple down.

Single Decisive Reason (SDR)

For any important decision, isolate the one reason that alone justifies it — a pile of weak reasons is a red flag

Slow vs Fast Decisions

For any reversible decision there's no right or wrong — only slow and fast — so decide fast and correct fast.

Solution Deepening vs. Market Widening

Classify every build as deepening the product for current users or widening it to new ones — to diagnose 'why we feel slow'

Solve Before Scale

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

Speed-to-Aha Over Best Product

Sometimes the correct product decision hurts the aha moment — cut it and get users to magic faster.

Stewart Plus Two More

Never bring one option; show a Goldilocks three and hold the rest in the appendix.

Supply-Chain Criticality Hierarchy

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

Task vs. Job Automation Test

Before predicting a role's automation, ask whether the automatable task IS the job or just one piece of it

The 10x Leverage Desk

Spend your finite time only on problems with 10x positive or negative impact — and physically move yourself into the details until they're solved.

The 2004 Red Sox Team-Composition Model

Build your leadership bench mostly from homegrown talent, seasoned with a few marquee outside hires

The 5-Question Stalled Growth Diagnostic

Diagnose why growth is slowing by asking five questions in strict priority order.

The 60-Second Meeting Reset

Buy a context-starved exec 30 seconds of orientation before you pitch.

The AI-as-CTO Persona Project

Cast the AI as an opinionated technical co-founder to kill sycophancy and premature coding

The AI Deployment Risk Triage

Classify any AI deployment into one of three risk tiers before spending a dollar on defense

Peak Performance5 steps

The AI Interview-Prep Coach System

Build an AI coach, mine the real question bank, drill weak spots — then mock with humans

The AI Security Vendor Due-Diligence Test

Five questions that expose whether an AI guardrail vendor is selling real protection or theater

The Aligned Binary LLM-as-Judge

Build a one-failure, pass/fail judge and align it to a human with a confusion matrix before you trust it.

The Angry-God Containment Lens

Assume the AI is a malicious agent trying to hurt you, then engineer so it structurally can't

The Benevolent Dictator Labeling Model

Appoint one trusted domain expert to own eval judgments instead of running it by committee.

Finance3 steps

The Cancellation Ceiling (Maximum Customer Cap)

New customers divided by cancellation rate is the hard ceiling on how big you can ever get.

Influence5 steps

The Consultative Interview Flip (Sell the Vacation)

Run the interview like an enterprise sale so there is no competition when the offer comes

The DevX Listening Tour

Before you build a tool, walk developers through their yesterday

Marketing3 steps

The Elephant Curve (Channels Saturate and Sag)

Every acquisition channel starts as an S-curve then sags — assume your winners will decline.

The End-User Feedback Spectrum

Deliberately gather user feedback across the full quantitative-to-qualitative range, not just the end you're comfortable with.

The Escape Hatch Principle

Abstractions should let power users drop to raw control when the model doesn't fit their problem

The Exposure-Therapy Tool On-Ramp

Ease into coding tools in graduated steps so code stops being terrifying

The Extreme Dog-Fooding Loop

Use your own product at scale, document every flaw with screenshots, then personally drive the fixes to closure.

The Fixit OKR

Put a hard number on fixing known-broken issues and fund it alongside growth, so quality work never gets zero resources.

Entrepreneurship3 steps

The Foundation Reset Heuristic

If the market stops sharpening your path, the problem is the foundation — not the effort.

The Four Filters for Career Acceleration

Growth rate, strength-fit, deferred comp, and the C-suite question — pick jobs on these, not on salary.

The Four Principles of Building Hardware Fast

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

The Four-Step Distribution Platform Cycle

Every new growth channel opens then closes in the same four predictable steps — learn to see where you are.

Leadership7 steps

The Frictionless Seven-Step DevX Program

A start-anywhere playbook to stand up a developer-experience initiative

Entrepreneurship3 steps

The In-Product Feedback Loop

Stream user reactions straight into your team's consciousness by building feedback into the product itself

The Learning-Opportunity Command

Turn every confusing moment into an 80/20 lesson aimed at your current skill level

The LOCKS Algorithm for Evaluating Founder-CEOs

Five traits that predict whether a founder can actually scale a company: Lovable, Obsessed, Chip, Knowledgeable, Student

The Love-Hate Disruption Test

Gauge whether an idea is truly disruptive by how polarized the reactions are, not how positive.

The Market Health Metric

Find the leading proxy that predicts liquidity, then find the threshold where it plateaus.

Themes for Discussion at the Top of the Doc

Bubble up the spiciest 3 topics live; answer the hundred nitpicks offline.

Marketing6 steps

The Peer Supply Engine

Pay your best suppliers to onboard and recruit the next ones, at a tenth of the cost.

Leadership6 steps

The PM-Engineering Alignment Operating System

Run product and engineering as one leadership unit with clear ownership and async, iterated reviews.

Innovation8 steps

The PRFAQ Working Backwards Document

Write the launch press release before you build, so every word forces a real decision

The Product/Market Fit Engine

Turn PMF into a number you can raise: focus only on the 'somewhat disappointed' users whose reason for loving you matches the mass market's

Productivity7 steps

The Seven-Command Build Loop

Six slash-commands turn vibe-coding into disciplined software delivery for non-coders

Strategy6 steps

The Six-Factor Company Stack Rank

Timing > market > team > product > brand > distribution — you need all six, ranked.

The SMB-or-Enterprise Binary (Mid-Market Doesn't Exist)

There is no mid-market — decide which of two distinct games you're playing and don't bleed them.

The Soft Pushback

The one-line, zero-aggression ask that recovers ~20% of comp almost every time

The SPACE Framework

Pick balanced developer productivity metrics across five dimensions — never rely on one.

The Superpower Overlap Test

Find your true strengths via a two-layer self-plus-peer assessment, then only take roles where your superpower meets the company's.

The Switch Log

Log every task-switch in real time so your actual work trail — not your calendar — reveals where your time really goes

The Three Dimensions of an Agent

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

The Three Generations Rule

Make the product, fix the product, then fix the business — innovation almost never lands in one generation.

The Three-Signal Marketplace Screen

Fragmentation, uniform needs, high matchmaking barrier — no marketplace works without all three.

Productivity5 steps

The Top-Three Weighted DevX Survey

Force a top-three, weight by frequency, and never ask four questions at once

The Two-of-Three Inflection Test

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

Marketing5 steps

The 'What Made You Cancel?' Rooter-Cause Diagnosis

Ask what made them cancel (not why), then dig past the surface reason to the real causes.

Throwaway Prototyping To Discover The Product

Build disposable prototypes on real data to feel what works before writing any production code.

Tier-One Logo First

Chase the Walmarts and Nvidias first — the market leaders are your real early adopters.

Influence4 steps

Treat the Executive as Your Key User

Run stakeholder conversations as discovery interviews, not approval requests.

Truthful Storytelling Through Relentless Refinement

Sell the why, not the what — and refine the story out loud on real listeners until it comes off effortlessly.

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.

Two Product-Market Fits

A marketplace must pass the disappointment test independently on each side.

Understand It to Dissolve the Fear

Fear of a new technology is misunderstanding — spend time with it and you'll see its edges.

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

Use AI As Leverage On Your PM Time

Assign the model a role, feed it more context than you could read, and iterate the prompt until it works.

User-Value Thermodynamics

Users are lazy; adoption only happens when total value delivered exceeds total effort spent, ideally by 10x.

Values Reverse-Engineered from Why You Win

Don't philosophize your company values — extract them from the reasons you're actually succeeding.

Value-Up-The-Stack Test

To find where the money accrues in a platform shift, test the infrastructure layer for network effects, differentiation, and pricing power

Van Westendorp Premium Pricing (Price at the Third Question)

For a best-in-class position, price at the 'starting to feel expensive' point, not the 'bargain' point

What-If Before Why-Not

Evaluate a disruptive idea by imagining its upside first, then treat the objections as your build list.

When You Eat a Sandwich, Don't Nibble

Deliver hard news and hard change in one decisive move, then deliberately over-correct

You Only Get to Compile Five Times

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

Your First Company Is a Zero (Build the Founder Muscle)

Treat your first three founding years as a craft apprenticeship, not a success you owe yourself.

Zero-to-One Team Building

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