AI DTC WTF

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Your Home For Tactical Tips, Strategies and Ideas for Your DTC - AI Workflows

  1. 10h ago

    Is AI Making You a Worse Marketer? | Ben Feys, PrettyBoy

    Is AI making you a worse marketer? AI makes you a worse marketer when you use it to skip work you never learned to do, and a better one when you use it to speed up work you already understand. Ben Feys runs PrettyBoy with one co-founder and holds every AI build to three tests: the result has to be measurable, it has to beat the alternative, and it has to save money. He automates research, planning and briefing on workflows he knows end to end, keeps people on the creative judgment, and tracks AI-made ads separately from human-made ads so the performance question gets settled by data. In this episode, Andrew Foxwell and Will Sartorius ask Ben Feys, co-founder of PrettyBoy, how a two-person DTC brand uses AI to get more done without losing the skills that make the work good. Ben explains the three tests every AI build has to pass, why he tracks AI-made ads separately from human-made ads, and why he thinks human-written content could be a small brand's moat. PrettyBoy is a men's skincare brand run by Ben and his co-founder Kevin Niehoff. Ben automated the brand's email workflow end to end with Claude, built a company brain on top of their ad, retention and creative data, and has strong opinions about where that stops paying off. We discuss: The three tests a two-person team uses to decide whether an AI build is worth itAutomating an email workflow with Claude, from performance analysis to briefs loaded into ClickUpWhy vibe coding your own version of a SaaS tool is misguided for most operatorsHow automating creative entirely makes you settle for "nice enough" adsTracking AI-workflow ads separately from human-workflow ads to see which actually performWhat a company brain is good for, and the two kinds of people who benefit mostWhy AI works best for people who already know how to do the jobWhy hiring for "Claude native" backfired, and what to hire for insteadHow to use AI as a creative strategy teacher instead of a shortcutWhy going all in on human-made content could be a small brand's moatShow site: https://www.ai-dtc-wtf.com/Connect the Foxwell MCP to Claude or ChatGPT: https://www.foxwelldigital.com/mcp Guest: Ben Feys, Co-Founder, PrettyBoyPrettyBoy: https://www.yoprettyboy.com/Ben on X: https://x.com/fenbeysBen on LinkedIn: https://www.linkedin.com/in/benjamin-feys-23112950/ This Episode is sponsored by Motion's very own Runneth. Runneth is the AI Tool that is quickly becoming the go to decision maker brands turn to when it comes to creative decisions within their ad accounts. From Creative strategist to hook inspirations and creative briefs, runneth can do it all. See the case studies and try runneth yourself https://runneth.com/ AI DTC WTF is the show for brand owners, in-house advertisers and agency operators who use AI every day and want tactical workflows they can implement now. Published by Foxwell Digital: https://www.foxwelldigital.com/ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.comTo connect with Will Sartorius DM him here https://x.com/will_sartoriusTo connect with Thomas Moen DM him here https://x.com/thomasmoenTo learn more about Foxwell Founders and conversations like this one, go here: https://www.foxwellfounders.comLearn more about Foxwell Digital and join our newsletter: https://www.foxwelldigital.com/email Chapters 00:00 Is AI making you a worse marketer?02:28 Automating an email workflow with Claude, from analysis to ClickUp briefs05:16 Why vibe coding your own SaaS stack rarely pays off07:00 Does automating ad creative make your ads worse?08:55 What a company brain is good for, and who it helps most15:29 Why AI works best when you already know how to do the job19:54 Why hiring "Claude native" strategists backfired23:25 What to look for in a creative strategist now29:29 What running a DTC brand looks like a year from now32:54 Why human-made content could be a small brand's moat

    Is AI Making You a Worse Marketer? | Ben Feys, PrettyBoy

  2. Sep 30

    How to Hire Creative Strategists When AI Writes Every Sample | Jess Bachman, FireTeam

    How do you hire creative strategists and copywriters when AI writes every work sample? Stop judging creative strategists on work samples, because you can no longer tell what the candidate wrote and what AI wrote. Make them do the actual job instead: FireTeam's AI interviewer hands candidates a deliberately flawed brief, asks them to find and fix the problems, pushes on why each fix is right, and flags pasted answers. Past that screen, the strongest signal is proof that someone builds and tests with AI while staying skeptical of its output, such as a steady record of GitHub commits. In this episode, Andrew Foxwell and Will Sartorius talk with Jess Bachman, co-founder of FireTeam, about how to hire creative strategists and copywriters when AI writes nearly every work sample. You'll learn how Jess's AI interviewer tests how candidates think, how FireTeam's AI brief writer outperforms a strong human copywriter, and why he would judge a creative strategist by their GitHub commits. Jess runs FireTeam, a performance creative agency that gets paid when ads win. He deployed the AI interviewer to hire a copy engineer and has iterated on it since, and every FireTeam brief now runs through the agency's AI brief writer. We discuss: Why work samples stopped being a useful way to hire creative talent How an AI interviewer uses a deliberately broken brief to show how a candidate thinks Paste detection, dictation false positives, and whether AI screeners turn off good candidates How FireTeam proved its AI brief writer beats a human copywriter, using its own win data Why AI is still terrible at coming up with ad ideas, and what the team does instead Why client learnings, not the prompt, drive 75% of the results Why Jess keeps performance analysis entirely human Why the creative volume game is not coming from Andromeda Why AI raises the floor to a C but cannot turn someone into a builder The hiring signal Jess trusts most for AI-era creative strategists Get the newsletter: https://www.foxwelldigital.com/email Listen to the full podcast: Apply to Foxwell Founders: https://www.foxwelldigital.com/apply Guest: Jess Bachman, Co-Founder, FireTeam FireTeam: https://fireteam.is Jess on X: https://x.com/HireFireTeam Jess on LinkedIn: https://www.linkedin.com/in/jessbachman/ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital and join our newsletter: https://www.foxwelldigital.com/email This Episode is sponsored by Motion's very own Runneth. Runneth is the AI Tool that is quickly becoming the go to decision maker brands turn to when it comes to creative decisions within their ad accounts. From Creative stratigest to hook insporations and creative briefs, runneth can do it all. See the case studies and try runneth yourself https://runneth.com/ Chapters 00:00 How to hire creative strategists when AI writes every sample 02:17 Inside FireTeam's AI interviewer and its deliberately broken brief 04:16 Paste detection, and whether AI screeners scare off good candidates 07:21 How an AI brief writer beat a human copywriter 10:44 From a brainstorm gist to a finished brief in 30 minutes 16:33 Why your data, not your prompt, makes AI copy win 21:29 Does AI only help people who could already write? 22:24 Why the creative volume game was never real 27:50 Can AI turn an average employee into a 100x employee? 31:52 Why GitHub commits are the new creative strategist portfolio

    How to Hire Creative Strategists When AI Writes Every Sample | Jess Bachman, FireTeam

  3. Sep 16

    How Go Brewing Built Their Entire Business Operating System With Claude Code | Joe Chura | EP 14

    How do you build a business operating system with Claude Code? You build it one component at a time and connect them, rather than building isolated dashboards. Start with the smallest painful process you already pay software for, rebuild it so it writes to your own database, then make the next tool read from that same data. Joe Chura rebuilt his brewery's sensory testing app in a single evening in Claude Code, tied it to batch numbers, then layered on customer support, wholesale onboarding, creative production and retail campaigns until every system in the company shared one set of records. The test for each piece is whether it increases revenue or reduces cost, not whether it is impressive. In this episode, Andrew Foxwell and Will Sartorius talk to Joe Chura about how to build a business operating system with Claude Code instead of buying and stitching together software. Joe rebuilt his brewery's production, support, wholesale, creative and retail systems himself in about 90 days, and explains how the pieces connect, which builds paid off fastest, and why isolated dashboards are the mistake most operators are making right now. Joe founded a digital marketing agency in 2011, grew a software company from $0 to $40 million in revenue in five years, sold it to Cars.com, and ran a 1,000-person organization with 100 developers. He now runs Go Brewing, a non-alcoholic brewery he says was the fastest growing in the country last year, with three salespeople. We discuss: - Why Joe rebuilt a cheap sensory testing app instead of renewing it, and what that unlocked - How to connect internal tools so batch data, customer complaints and cost anomalies all read from one source - Turning customers into a sales force with an ambassador app that pays out on validated leads - Why the rate-of-sale math on non-alcoholic beer makes traditional field reps uneconomical - A full screen-share walkthrough of Brewery OS, from nightly bug sweeps to a tank planner that saves a week of work - The three highest-ROI things to build with Claude Code, starting with your Shopify theme - How connecting GitHub to a Shopify theme took Go Brewing's conversion rate from under 5% to 10% in a weekend - Using Claude Design to build a design system, then handing it to Claude Code as a prompt - Why reading Microsoft Clarity every day is the cheapest optimization loop in ecommerce - The mindset shift that is harder than the technology: getting a team to stop asking for reports Never Miss and Episode: https://www.ai-dtc-wtf.com/aidtcwtf-newsletter To connect with Joe Chura, Founder and CEO, Go Brewing Go Brewing: https://gobrewing.com/ Joe on LinkedIn: https://www.linkedin.com/in/joechura/ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital and join our newsletter: https://www.foxwelldigital.com/email This Episode is sponsored by Motion's very own Runneth. Runneth is the AI Tool that is quickly becoming the go to decision maker brands turn to when it comes to creative decisions within their ad accounts. From Creative stratigest to hook insporations and creative briefs, runneth can do it all. See the case studies and try runneth yourself https://runneth.com/ AI DTC WTF is the show for brand owners, in-house advertisers and agency operators who use AI every day and want tactical workflows they can implement now. Published by Foxwell Digital: https://www.foxwelldigital.com/ Chapters 04:19 What was the bottleneck before Claude Code? 06:55 Rebuilding the first internal app in Claude Code in one evening 09:50 Turning customers into an extension of the sales force 14:39 Sponsor: Runneth from Motion 15:50 How to decide what to build next, and in what order 19:02 Why team mindset is the real bottleneck, not the technology 24:21 Screen share: a full tour of Brewery OS 35:53 Live demo: building a retail campaign end to end 39:40 The three highest-ROI things to build with Claude Code

    How Go Brewing Built Their Entire Business Operating System With Claude Code | Joe Chura | EP 14

  4. Sep 10

    Fable 5.1: What Actually Changed and What to Use It For | EP 13

    Is Fable 5.1 actually better, and what should a marketer use it for? Fable 5.1 is a net improvement on Fable 5 for marketers, mainly because it is more concise and burns fewer tokens, which makes it cheaper to run for the same work. Its highest-value use is not writing copy. It is auditing the skills, agents, and markdown files you already built, finding the redundancies that were making them skip steps, and then running the cleaned-up prompts on a cheaper, faster model. Video work and translation are dramatically better than they were a few months ago. Image generation is not, and dedicated tools still win there. In this episode, Andrew Foxwell, Thomas Moen, and Will Sartorius break down what actually changed in Fable 5.1 and what it is genuinely good for. You'll learn why it is cheaper to run than Fable 5, why the best use is auditing the skills you already built rather than writing new copy, how to route tasks across different models instead of paying for the expensive one every time, and why video translation went from unusable to production ready. We discuss: - What changed between Fable 5 and Fable 5.1, and why it costs less to run - Why the highest-value use is auditing your existing skills, agents, and markdown files - The prompt audit that found the redundancies making skills skip steps - Why you should run cleaned-up prompts on a cheaper model instead of the flagship - How to route specific tasks to specific models: planning, coding, research, execution - Why less instruction now produces better output, and the Meta ads parallel that explains it - The claim that Fable 5.1 copy carries a detectable watermark, and what that means for blogs and newsletters - Why the writing finally stopped reaching for bold headers and three-item lists - The rise of the AI-forward individual contributor, and how to become one - Why one agency won't let a creative strategist touch an AI tool until they can do it analog - Why Thomas's agency stopped hiring junior people entirely - Localizing an entire instructional video library by dropping MP4 files in - Why image generation still belongs in HiggsField and not here - Tagging a folder of B-roll with Gemini Flash and cutting mashups in Claude Code To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital: https://www.foxwelldigital.com All episodes: https://www.ai-dtc-wtf.com Join The AI DTC WTF Newsletter: https://www.ai-dtc-wtf.com/aidtcwtf-newsletter Join the Foxwell Digital email list: https://www.foxwelldigital.com/email This episode is brought to you by Runneth by Motion: https://runneth.com/ AI DTC WTF is the podcast for people who work in DTC, use AI, and want to know what is actually working right now. Every week: tactical tips, strategies, and ideas you can implement in your AI workflows to make your brand or agency more money. Chapters 00:53 Why Fable 5 was too greedy with tokens 01:30 Fable 5.1 is more concise and cheaper to run 01:45 Which model to use for planning versus doing the work 02:12 Why Anthropic keeps botching the marketing 02:26 The limits announcement that said 50% and meant 17% 02:42 Why skills kept skipping steps 03:23 The prompt audit that found the redundancies 03:53 You don't need the expensive model for everything 04:42 How to stay agnostic and route tasks across platforms 05:20 What Grok is genuinely faster at 06:20 Using Grok for small coding and research tasks 06:43 How to actually tell a model which model to use 07:14 Why stripping down your markdown files gets better output 07:31 The Meta ads parallel: less micromanaging, better results 08:19 Auditing a brief flow that was writing copy before finding personas 09:01 The watermark on Fable 5.1 copy, and what it means for blog posts 09:19 Why the writing finally stopped sounding like AI 10:53 The rise of the AI-forward individual contributor 11:47 Why creative strategists here can't touch the tools yet 12:18 AI as a compass, not a destination 12:39 How to learn creative strategy the old fashioned way 13:41 Amplifying good people versus replacing them 14:54 Why this agency stopped hiring junior people 15:49 Why Europe is further behind than the feed makes it look 16:56 Video and image generation on Fable 5.1 17:41 Localizing a whole Norwegian video library in a week 18:15 Why better reasoning makes project orchestration better 18:56 Dropping MP4 files in and getting a finished English version 20:03 Why images still belong in HiggsField 20:51 Tagging B-roll with Gemini Flash and cutting mashups in Claude Code

    Fable 5.1: What Actually Changed and What to Use It For | EP 13

  5. Sep 3

    The 4 Skills That Turn a Media Buyer Into an AI Growth Strategist | Rooster Sanchez

    What is an AI growth strategist, and what does a media buyer or account lead have to learn to become one? An AI growth strategist is the person accountable for a brand's entire funnel and its financials, not just the creative, doing that job with AI wired into every step. Becoming one takes four skills in order: context engineering, so the model knows your business; skills, so you can replicate yourself instead of prompting from scratch; connectors, so the model queries live data instead of a stale onboarding doc; and being the person who pushes AI through the team's actual workflow. Get those four right and the analysis that used to need a data scientist and a two-day lockout becomes a morning Slack digest. In this episode, Andrew Foxwell and Thomas Moen talk with Rooster Sanchez about what the role of an AI growth strategist actually is and the four skills it takes to become one. Rooster explains why context engineering comes before tooling, which connectors are non-negotiable for anyone running accounts, how his team replaced a two-day strategy lockout with a morning Slack digest, and why eliminating a process beats automating it almost every time. We discuss: What an AI growth strategist owns that a media buyer or account manager doesn't The four foundational skills: context, skills, connectors, and being the point person Why you no longer need a data scientist for cohort, LTV, and product-level profit analysis The folder structure that makes Claude find things faster across a whole client roster Why migrating meeting notes into the model was the single biggest unlock for client comms Building a card per client so AI knows how each one wants to be reported to The must-have connectors for a growth role, and where Google Meridian fits for larger accounts The alert stack: creative fatigue, audience saturation, CPM spikes, net new reach drops Why the number one reason clients churn has nothing to do with performance Elimination before automation, and how to run your SOPs through that filter Logging every scheduled task so AI spots trends across your whole client base The prompt that stops AI from being sycophantic, and what it reveals Why every landing page now looks the same, and why that makes brand a moat Resources mentioned: llm-wiki, Andrej Karpathy's pattern for organizing AI folders: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f The anti-sycophancy system prompt, attributed to Marc Andreessen: https://substack.com/@linas/note/c-257971365 Google Meridian, open-source marketing mix modeling: https://developers.google.com/meridian This episode is brought to you by Runneth from Motion: https://runneth.com Join the AI DTC WTF email list: https://www.ai-dtc-wtf.com/aidtcwtf-newsletter To connect with Rooster Sanchez LinkedIn: https://www.linkedin.com/in/luisfersanchez/ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To Connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital: https://www.foxwelldigital.com All episodes: https://www.ai-dtc-wtf.com Apply to Foxwell Founders: https://www.foxwelldigital.com/apply Learn more: https://www.foxwelldigital.com/ AI DTC WTF is the podcast for people who work in DTC, use AI, and want to know what is actually working right now. Every week: tactical tips, strategies, and ideas you can implement in your AI workflows to make your brand or agency more money. Chapters 00:00 What an AI growth strategist actually is 01:05 Why AI amplified agency roles instead of replacing them 02:33 The role that owns the whole funnel, not just the creative 03:55 Why you no longer need a data scientist for cohort and LTV analysis 05:18 The case for 10x growth strategists 06:00 The four foundational skills: context, skills, connectors, point person 07:57 Sponsor: Runneth by Motion 09:11 Organizing your Claude folders with Karpathy's llm-wiki 10:08 Why moving meeting notes into AI was the biggest client comms unlock 11:05 Building a card per client so AI knows how each one wants to be reported to 12:04 How Claude indexes your work so context never goes stale 13:14 The must-have connectors for a growth role 14:07 Using Google Meridian to build your own geo holdout tests 15:19 How AI juries and alert stacks find problems before they become fires 17:29 Cutting three hours a day out of account management 17:42 How to avoid using AI to do 10x more mediocre work 18:42 The number one reason clients churn, and it isn't performance 19:36 Why elimination beats automation 20:06 We're Not Recording: what else is worth your time right now 21:22 Logging scheduled tasks so AI spots trends across your client base 23:20 The prompt that stops AI from being sycophantic 24:29 Why every landing page looks the same, and why brand is now a moat 26:16 Moving from siloed AI wins to organizational effectiveness 28:53 The rise of the in-house AI integrator role 29:57 Why training two AI thinkers is worse than training the whole team 31:30 Which agencies are about to eat everyone else's lunch

    The 4 Skills That Turn a Media Buyer Into an AI Growth Strategist | Rooster Sanchez

  6. Aug 19

    How to Use AI for Creative Strategy Without Killing Your Best Ideas | Matthew Gattozzi

    How should a creative team use AI for creative strategy without losing the original ideas that make ads work? Use AI to compress the non-creative work that surrounds ideation, not the ideation itself. A creative strategist typically spends 40 to 60 percent of the day on coordination, recaps, and admin; cutting that to 20 or 30 percent buys back the hours where original ideas actually come from. Feed the model a living brand context document so it can draft, expand, and fact-check briefs and scripts, but keep the originating idea human, because an LLM predicts from rules and past patterns and will always regress toward what has already worked. In this episode, Will Sartorius and Matthew Gattozzi of Goodo Studios break down how to use AI for creative strategy without losing the original ideas that make ads work. Matthew explains why a strategist should hand AI the coordination and admin instead of the ideation, how to build a brand context document that actually improves your outputs, and why he cancelled his ad analytics software and built his own reporting tool instead. We discuss: Where AI delivers real ROI in a business built on physical production The "Matthew tokens" model for deciding what you personally should spend time on How to cut non-creative work from 60% of a strategist's day down to 20% What belongs in a brand context document, and how to get AI to build it with you How to sync context documents across a team so they stay living, not stale Why the best ideas come from being out in the world, not behind a laptop When a creative strategist should break the rules their own context doc sets Why he replaced his analytics SaaS with a custom tool, and what it actually tracks How to find net-new angles that will never show up in your account data Join the AI DTC WTF newsletter: https://www.ai-dtc-wtf.com/aidtcwtf-newsletter This episode is brought to you by Runneth from Motion: https://runneth.com Learn more about Matthew Gattozzi Goodo Studios: https://www.goodostudios.com/ LinkedIn: https://www.linkedin.com/in/matthewgattozzi/ Site: https://matthewgattozzi.com/ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To Connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital: https://www.foxwelldigital.com All episodes: https://www.ai-dtc-wtf.com AI DTC WTF is the podcast for people who work in DTC, use AI, and want to know what is actually working right now. Every week: tactical tips, strategies, and ideas you can implement in your AI workflows to make your brand or agency more money. Chapters 00:00 Why AI can't break creative rules 01:12 How Goodo Studios combines creative strategy and production 03:20 Where AI fits into creative strategy, and where it doesn't 05:02 The "Matthew tokens" model for protecting your best thinking 07:04 Cutting non-creative work from 60% of a strategist's day to 20% 09:04 Why the best ad ideas come from living, not prompting 11:07 How to build a brand context document that improves AI output 13:09 Using AI to draft, expand, and fact-check ad scripts 17:50 How to share and sync AI context docs across a team 20:16 Let AI interview you to build your creative filters 22:30 What taste actually is and how you develop it 27:23 Separate context docs for statics, UGC, and studio video 28:25 When a creative strategist should break the rules 31:40 Why he built his own creative analytics tool instead of paying for SaaS 35:29 Tour of the custom Meta creative reporting dashboard 38:34 How to find net-new angles the data will never show you 43:41 Why AI is retroactive and can't generate new ideas 45:43 Building a hooks library from saved ads 47:43 Getting your team to actually use the AI tools you build 49:46 Parting advice: finding harmony between AI and creativity

    How to Use AI for Creative Strategy Without Killing Your Best Ideas | Matthew Gattozzi

  7. Aug 6

    The Ads That Spend $1M Are Still Written By Hand | Harry Delmege

    In this episode, Andrew Foxwell and Will Sartorius talk with Harry Delmege about using AI for ad creative — specifically where it helps and where it quietly destroys your hit rate. Harry co-founded Roly Poly Digital and is best known for long-form "yapper" ads that have scaled past $1M in spend. His team uses AI heavily for execution and almost never for ideation. You'll learn why manual research still beats AI research, why AI UGC fatigues faster than real UGC, and the one quality Harry now hires creative strategists for. We discuss: Where AI belongs in a creative process and where it doesn't The Claude skills Roly Poly built for yapper ads, VSLs, and native long-form Why AI can't find the customer story your ad actually needs Where AI creative genuinely wins: claymation, Pixar-style spots, and b-roll you could never shoot Why AI UGC dies faster than real UGC, even when it works What a $200K/month ad account actually looks like in 2026 Why brand owners are firing agencies over "AI slop" How to run a manual research bounty that keeps your team's skills sharp Why human QA is what takes an ad from a six out of ten to a nine Subscribe to AI DTC WTF: https://www.ai-dtc-wtf.com/ Listen on Spotify: https://open.spotify.com/show/033haXJDf9RTIAJzUQY4yC This episode is sponsored by Proppel, the hiring agency that has placed more than 75 employees for Foxwell Founders members. Get 10% off your first hire when you mention the AI DTC WTF Podcast: https://www.weareproppel.com/foxwell-... This episode is brought to you by Runneth from Motion: https://runneth.com To connect with Harry Delmege DM him here https://x.com/harrydelmege_ To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To Connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital: https://www.foxwelldigital.com All episodes: https://www.ai-dtc-wtf.com AI DTC WTF is a short, tactical podcast from Foxwell Digital about using AI to get an edge in DTC. Hosted by Andrew Foxwell, Will Sartorius, and Thomas Moen. Chapters: 00:00 Why AI isn't making better ads yet 01:27 Where Harry Delmege uses AI and where he refuses to 03:02 The Claude skills behind yapper, VSL, and native ads 05:03 Why manually written ads still beat AI first drafts 06:51 Why AI can't mine Reddit for real customer stories 09:07 Where AI creative actually wins, and why AI UGC dies faster 12:28 What a $200K/month ad account looks like now 16:56 Why ad volume is not the game 22:16 The pendulum swinging back to direct response fundamentals 24:40 AI psychosis and the 80/20 split inside an AI-enabled agency 26:20 The one quality to hire a creative strategist for 30:43 What the best AI users will be doing a year from now 32:58 It's not the format that's crushing, it's the story 37:14 Why human QA takes an ad from a 6 to a 9 40:05 How to stop your team from getting AI-dependent 45:27 Why big brands can't get AI animation approved

    The Ads That Spend $1M Are Still Written By Hand | Harry Delmege

  8. Jul 23

    How to Build an AI Agent Team for Your Marketing Agency | Tristram Dyer

    How do you build an AI agent team for a marketing agency? Tristram Dyer, CEO of Webtopia & OAKS, walks through the exact system his agency runs: fast AI that speeds humans up with MCP data connections and AI creative tools, and slow AI, a team of scheduled background agents that detect performance anomalies, pace budgets, write morning briefings, and operate Meta ads with a human approving every change. We discuss: Fast AI vs. slow AI: the Thinking, Fast and Slow framework for agency work The creative workflow connecting Claude, Arcads, Claude Design, and HeyGen Why every Webtopia employee gets a paid Claude account The full agent roster: anomaly detector, agent 00 morning briefings, the Meta ads operator, and Mia, the Google Ads specialist Will AI replace ad agencies, and how to incentivize a team to adopt AI Why agentic ad buying may be only three months away Watch the previous episode with Cody Plofker: https://www.ai-dtc-wtf.com/podcast/why-ai-ugc-is-a-trap-and-what-actually-works-cody-plofker This episode is brought to you by Runneth from Motion: https://runneth.com Learn more about Tris and Webtopia: https://www.webtopia.co To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com To connect with Will Sartorious DM him here https://x.com/will_sartorius To Connect with Thomas Moen DM him here https://x.com/thomasmoen To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com Learn more about Foxwell Digital: https://www.foxwelldigital.com All episodes: https://www.ai-dtc-wtf.com AI DTC WTF is the super practical podcast about leveraging AI to get an edge in DTC, hosted by Andrew Foxwell, Will Sartorius, and Thomas Moen. Chapters 00:00 How to build an AI agent team for your marketing agency 01:22 Fast AI vs. slow AI: the Kahneman framework 02:23 The fast AI stack: Meta, Kaizen, and Motion MCPs 06:26 Kaizen: adding qualitative client data to the numbers 08:27 Why every employee gets a paid Claude account 09:28 Creative workflow: Claude → Arcads → Claude Design → HeyGen 11:29 Tangible results: faster decisions, happier clients 13:31 The roadmap: putting agents in founders' hands 16:33 The agent team: BigQuery warehouse and anomaly detection 18:34 Morning briefings and a self-improving agent 19:35 The Meta ads operator with human-in-the-loop 22:40 Will AI replace ad agencies? 25:46 The Cody Plofker landing page example 27:48 How to incentivize employees to use AI 30:51 Meet Mia: the Google Ads specialist agent

    How to Build an AI Agent Team for Your Marketing Agency | Tristram Dyer
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Your Home For Tactical Tips, Strategies and Ideas for Your DTC - AI Workflows

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  • Creator
    Foxwell Digital
  • Years Active
    2026
  • Episodes
    18
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    Explicit
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    © 2026
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    AI DTC WTF

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