Dan Shipper

Dan suggests measuring AI progress by how long you can safely let an agent work without intervention.

Dan argues that AI will let small teams stay small and reward versatile generalists over narrow specialists.

Dan notes non-technical people can already build revenue-generating Dee Browser “skills” or custom GPTs, showing software is shifting toward content-like products.

A $10B hedge fund sparked company-wide AI usage through a CEO-written ChatGPT memo and weekly prompt-sharing rituals, proving leadership-driven cultural change.

Raising only modest capital and using a callable “sip seed” SAFE preserves creative freedom and a playful culture while still allowing institutional ambitions.

Dan recommends bringing on process-oriented people who love tinkering with AI and know the craft they support to run internal AI operations.

Dan urges founders to design companies around the work they secretly love instead of cargo-culting standard models.

After months struggling to judge writing quality, switching to Claude Opus 4 let Spiral self-evaluate drafts in one shot, immediately making the product viable.

Dan suggests creating a reusable prompt that turns rough thoughts into a polished PRD, so every future spec takes far less work.

Alex Duffy recorded every writing critique, fed transcripts into a prompt, and eliminated repeat mistakes, compressing a year’s progress into two months.

Dan predicts cheap AI intelligence will reshore many US roles by boosting service demand and raising local worker productivity.

Dan explains they store slash-command prompts in GitHub and Cloud Code to automate PRD creation and speed repeated workflows.

Dan shares a friend’s company that swapped a large overseas call centre for two US employees armed with AI customer-service tools, keeping output while cutting scale.

Media businesses still rely on the founder creating the product, unlike tech startups where the founder can hand off after product-market fit.