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Dan Shipper

Dan is the co-founder and CEO of Every which is a company that is at the very bleeding edge of what is possible with AI.

2 episodes · 2 sourced appearances

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Short attributed excerpts only. Timestamps are approximate.

Frameworks in these episodes

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Innovation3 steps

Build Your Own Senior-Engineer Benchmark

Measure AI honestly by scoring new models against real human experts rewriting your actual broken work.

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Strategy4 steps

CEO-Led AI Adoption Playbook

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

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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

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Productivity4 steps

Compounding Engineering

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

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Mindset3 steps

Frozen Competence: Where Human Value Survives

Models commoditize yesterday's competence; your value is using that cheap competence to make something new.

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Leadership4 steps

Hire an AI Operations Lead

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

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Self-Mastery3 steps

Ride the Models

Stay valuable in AI by playfully applying each new model to your own work and re-testing what it couldn't do before.

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Leadership3 steps

Super Agent With a Forward-Deployed Human

Give the whole company one shared agent, owned by a human who keeps it working — not personal agents for everyone.

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Communication3 steps

The AI-Document Slop Test

An AI-written document is fine — as long as you can stand behind every line and it took longer to make than to read.

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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

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Productivity3 steps

The Reach Test

Judge whether an AI tool is truly useful by whether you reach for it unprompted each morning.

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Finance4 steps

The Sip Seed Round

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

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Innovation4 steps

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

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