Claude Opus 4

Build for the Current Model, Prototype for the Next

Elicit max capability from today's model while pre-building the products the next model will unlock

Build Only at the Magic Intersection

Don't ship what anyone could build off the shelf — build only where model and product uniquely meet.

CEO-Led AI Adoption Playbook

The single predictor of AI adoption is whether the CEO uses it daily — then amplify your 10% early adopters

Clear-Goal Ambiguity Cut

Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out

Leadership4 steps

Codify Your Judgment into Prompts (Don't Repeat Yourself)

Turn every piece of feedback you give into a reusable prompt so you never say it twice

Productivity4 steps

Compounding Engineering

Spend a little effort now so each repeat of a task is cheaper than the last

Entrepreneurship4 steps

Defensible Moats for AI Startups

Four durable places to build in AI where foundation-model labs are least likely to squash you.

Strategy3 steps

Exponential Bet Allocation

If AI is your core value, shift the growth portfolio from micro-optimizations to large bets

Leadership4 steps

Hire an AI Operations Lead

Give one person the dedicated job of automating everyone else's repetitive work with AI

Productivity5 steps

Hunting New Bottlenecks When AI Writes the Code

When AI removes the coding bottleneck, constraints shift up and downstream — go find them.

Self-Mastery5 steps

Lean Into Your Spike

In the AI era, double down on your unfair advantage and stack disciplines to become a unicorn

Communication4 steps

Make the Other Mistake (Prompting for Brutal Feedback)

To get honest AI critique, over-correct toward brutal — the model won't actually overshoot.

Leadership3 steps

Mission-Above-Product Prioritization

Route every cross-org tradeoff through a single shared mission so decisions are fast and everyone stands behind them

Model Introspection Harness Repair

When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix

Ship-in-Research-Preview Speed Loop

Cut idea-to-user time from months to a week by branding launches as previews and pre-wiring the launch chain

Marketing4 steps

Strategic Friction

Add friction that helps a user understand why the product is for them; cut friction that doesn't

Productivity4 steps

The 100%-or-Nothing Automation Rule

An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it

Leadership4 steps

The 10-to-1 Input/Output Kill Test

When you pour 10 units of effort in for 1 unit of output, the project has run its course.

Mindset4 steps

The Allocation Economy: Manage Models Like a First-Time Manager

AI turns everyone into a manager — the valuable skills become the ones first-time managers must learn

Innovation5 steps

The Automatable Growth Loop (CACHE)

Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment

Sales4 steps

The Conversion-Funnel Cold Email

Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately

Productivity5 steps

The Scheduled AI Chief of Staff

Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly

Finance4 steps

The Sip Seed Round

Get capital committed but pull it down only when needed, so you keep optionality and psychological freedom

The Three-Part AI Product Utility Equation

A useful AI product needs model intelligence, context/memory, and application/UI to all converge.

The Two-Bucket Controversial-Test Triage

Sort every risky experiment into a red-line 'never run' bucket or a 'run it if the return justifies the cringe' bucket

Leadership5 steps

The Two-Week Deputization Rule

Under two engineering weeks, the engineer is the PM; over two weeks, the PM owns it

Productivity3 steps

Three-Legged Model Evaluation

Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals

Unbundle Expensive Services into AI Apps

Find a service only the rich could afford, do it with a general chatbot, then spin the working ones into apps