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Braydon Germain from Pilot House is back on AKNF to break down how AI is changing the actual day-to-day of marketing work. This episode isn’t about shiny demos or abstract AI hype. It’s about using Claude like a real coworker: building skills, breaking work into micro-tasks, automating repeatable steps, and keeping human taste where it matters.

For DTC founders, agency operators, media buyers, and creative strategists trying to turn AI from a novelty into a real workflow.

In this episode, Eric and Braden get into:

How Claude shifts from “chat tool” to “coworker”
why the best AI workflows start by breaking work into smaller repeatable tasks
How teams can build shared skills for more consistent copy across channels
Where auto-research and always-on optimization could actually change how marketers work
Why human judgment still matters most in taste, positioning, and creative direction

Who this is for: Marketers and operators who already use AI a little, but know they’re still nowhere near the ceiling.

What to steal:

Break one recurring workflow into micro-tasks before trying to automate all of it
Build shared AI skills around tone of voice, reference examples, and approval standards
Keep AI on structure and repetition, keep humans on taste and final judgment

Timestamps

00:00 Claude as a real coworker

02:21 Why most people use AI too simply

04:22 Breaking ad work into micro tasks

06:26 Standardizing copy across client accounts

08:01 Building Claude skills with Skill Builder

10:06 Auto research and KPI-based optimization

12:08 Always-on execution with AI agents

14:15 Best Claude skill libraries on GitHub

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Ep 599: 3 Claude AI Workflows DTC Marketers Can Use to Save Hours Every Week

DTC Podcast