Andrew Foxwell & Will Sartorious open with a quick roundup of what's new in AI before diving into the main interview. They cover GPT-4o's image generation model beating Gemini in a 15-ad cookoff, a new Alibaba animation model called Happy Horse for animating static ads, Claude's new design tool, a Canva feature that separates layers on AI-generated ads for editing, and a joint venture between Anthropic, Blackstone, and Goldman Sachs that signals a shift toward AI-augmented service businesses.
The interview with Grant Hushek focuses on practical AI infrastructure for teams. Grant is an AI consultant specializing in education, adoption, and implementation. The bulk of the conversation covers skill files and markdown files, what they are, how to build them, how to share them across teams, and how to iterate on them. Grant explains how he connected Fathom (his note-taker) to HubSpot to auto-update CRM records every two hours, and he shares his three-iteration framework for building high-quality skill files. The episode wraps with a debate on Cowork vs. Claude Code and a practical screen-share walkthrough Grant does live on the call.
Key Takeaways
- Why this one file type is the single most important building block for getting repeatable, high-quality AI output in your business.
- Why you need to be sharing AI skill files with your team so that everyone produces the same level of output.
- The first four markdown files every company should create when getting started with Claude.
- Why should you be talking to Claude instead of typing when building your "About Me" and voice & tone files.
- How this three-iteration framework turns a bad first skill file into one you'd actually be proud to use every day.
- The real difference between Cowork and Claude Code, and the one that is actually right for your team.
- The Process Grant used to automatically update every CRM contact record after every call.
- Why giving Claude a PDF template tanks the quality of the output it produces and the file type you should use instead.
Tangible Links from the Show:
- GPT-4o (GPT Image Gen / "GPT2") - Image generation model
