AI DTC WTF

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

  1. 3 days ago

    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

  2. 3 Sept

    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

  3. 19 Aug

    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

  4. 6 Aug

    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

  5. 23 Jul

    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

  6. 9 Jul ·  Video

    The AI Updates Every Media Buyer Needs Right Now: Meta, Shopify, Youtube Shorts

    Andrew Foxwell and Thomas Mowen run through the biggest AI updates hitting Meta, Shopify, and YouTube. On the Meta side, the platform is going all in on catalogs: product images can now be auto-converted into video ads, in-campaign AI editing will crop, animate, swap backgrounds, and generate text variations on your creative automatically, and Gen AI tool adoption has jumped from 1 million to 4 million advertisers in six months. Meta also rebuilt its opportunity score, rolled out a "brand memory" feature that learns your tone, look, and fonts from your ad library, added client creative sign-off inside Ads Manager, and is expanding automatic AI disclosures. The Meta Ads AI connector (MCP) now has 29 tools for reporting, campaign builds, catalogs, pixel diagnostics, audits, and benchmarking. Plus a whole bunch more that the guys get into. Shopify announced that AI searches powered by its catalog convert at 2x scraped data, and introduced agentic storefronts, a setting that syndicates structured product data to AI models for better discoverability across SEO, AEO, and GEO. Sidekick got major upgrades including multi-step tasks with store-wide context. Norwegian clients are already seeing meaningful agentic traffic in their analytics. On YouTube, Shorts remain underpriced for the incrementality they drive. Demand Gen now connects product feeds with live pricing from Google Merchant Center, shoppable feeds in Shorts let you tag up to 60 products per video with in-app checkout rolling out, and Google claims Shorts shopping converts 3 to 5x better than traditional pre-rolls. The TL,DR: AI is handling production plumbing while platforms pull discovery and checkout inside their walls. The winning recipe is clean data (especially your catalog), the right creative volume, and knowing which levers to pull. Key Takeaways Is your product catalog quietly costing you conversions in the AI shopping era? What happens when Meta starts cropping, animating, and rewriting your ads automatically? Could Meta's rebuilt opportunity score already be affecting your auction performance? Can Meta's new brand memory finally fix "off-brand" AI creative? Are Meta Business Agents about to become a legitimate sales channel inside your DMs? Why do Shopify catalog-powered AI searches convert at double the rate of scraped data? Would you recognize agentic traffic in your analytics if it showed up today? Are YouTube Shorts the most underpriced placement left in your media mix? What would tagging 60 shoppable products per Short do to your revenue? Should your winning Meta ads be running as YouTube Shorts right now? Is your AI disclosure strategy ready before Meta applies one for you? Chapters: 00:00:00 — Intro 00:01:09 — Fable is back: workflows, token-saving tips, and an 11-bug code review story 00:04:33 — Sponsor: Runneth by Motion 00:06:58 — Meta updates: catalogs, AI editing, opportunity score, brand memory 00:11:44 — AI disclosures and the Meta Ads AI connector (MCP) 00:13:45 — Meta Business Agents: AI selling in your DMs 00:15:10 — Shopify: agentic storefronts, Sidekick upgrades, analytics 00:20:20 — YouTube Shorts: Demand Gen, shoppable feeds, in-app checkout  00:23:25 — The go-forward recipe + wrap-up 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.motionapp.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 mith 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

    The AI Updates Every Media Buyer Needs Right Now: Meta, Shopify, Youtube Shorts

  7. 25 Jun ·  Bonus Video

    A "Summer Fling": How Anthropic's Best Model Got Pulled

    This bonus episode covers the abrupt shutdown of Claude Fable 5 (alongside Mythos 5), Anthropic's most powerful model, which lasted only three days before the U.S. government forced it offline. Host Andrew is joined by Thomas Moen from Norway, and the two unpack what happened, why it matters, and what D2C operators and agencies should do about it. The framing is blunt: if you wired anything into Fable 5 during its brief window, this episode is your fire drill. The hosts walk through the timeline. On June 12 at 5:21 PM Eastern, Anthropic received an export control directive from the U.S. government ordering it to suspend access to Fable 5 and Mythos 5 for any foreign national inside or outside the country, including Anthropic's own foreign-national employees. Because the company could not cleanly segment access by nationality, the practical result was a full shutoff for every customer. The stated trigger was a national security concern around a jailbreak that let the model read a codebase and spot software flaws. The hosts stress that no one was hacked and no data was breached. Anthropic complied but publicly disagreed, calling it a misunderstanding, and the situation was likened to a car part being recalled mid-deployment. From there the conversation turns critical (without getting too political). Andrew, who previously worked as a press secretary in Congress, argues that government simply moves too slowly to regulate AI at its current pace, and that pulling a single model is more PR theater than a real solution. Thomas notes the chilling effect: people he knows are now experimenting with DeepSeek and looking harder at European model options, newly aware of how unstable reliance on U.S. models can feel. They also flag the irony that Anthropic's own transparency, admitting no model is perfectly jailbreak-proof, may have handed regulators their rationale. Both agree this sets a dangerous precedent: a government can now take down a frontier model after launch. The back half is tactical. The core lesson is that single-model dependency is now a real operational risk, on par with relying on one 3PL or one ad platform. Agencies feel it harder than brands because of scale, with one analogy of 70 clients meaning 70 fires to put out. The hosts recommend auditing all AI dependencies (prompts, workflows, MCP configs, Zaps), assigning an internal owner for AI governance, building and actually testing a fallback ladder so models are not hard-coded, keeping a manual or "caveman mode" playbook, maintaining a locked manual database in parallel with AI-driven ones, and understanding the underlying logic of your skills and SOPs rather than trusting bloated AI-written ones. Thomas advocates for open-source systems and local models as insurance. The closing takeaway is that AI is shifting from a playground into pseudo-regulated infrastructure, so contingency planning is no longer optional. 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 mith 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

  8. 25 Jun ·  Video

    The 2 Skills Thomas Moen Can't Live Without

    This is a solo episode of the AI D2C WTF podcast a departure from the usual deep-dive guest interviews. Instead host, Thomas Moen goes practical and breaks down two dead-simple AI "skills" that he personally uses 10 to 15 times a day. A skill, as he explains, is just a markdown text file that Claude (or another AI agent) reads to follow a standard operating procedure, and the AI automatically knows when to invoke it. The first skill is Grill Me, originally created by Matt Pocock and published on GitHub. It is only three sentences long and instructs the AI to interview you relentlessly about every aspect of a plan, one question at a time, until you reach a shared understanding, offering its recommended answer for each question. Though it was built for coding and development, the host has evolved it into a business and life tool. He shares how he and his business partner each ran Grill Me when deciding whether to hire a new head of agency. He surfaced 36 questions, his partner 17, and the exercise produced two markdown documents they compared to find the right path. He notes it works for anything from fixing weekly reports to deciding between a tent trip and a glamping trip. The second skill is Handoff, also from Matt Pocock's library. It solves the context window problem. The host references the idea of a "smart zone" and a "dumb zone," where after roughly 200,000 to 300,000 tokens the AI starts to get confused and less reliable. When he feels a conversation slipping into the dumb zone, he invokes Handoff, which captures everything relevant from the current chat into a markdown file plus a short prompt that lets a fresh AI agent pick up exactly where the last one left off. The skill is about five sentences and includes instructions to save to a temp directory, reference artifacts by path rather than duplicating them, and redact sensitive information like API keys and passwords. Websites and SaaS Products Mentioned Claude (Anthropic) — the AI assistant the skills run on Motion (motionapp.com) — creative analytics platform and episode sponsor Slack — referenced as a place to receive an AI morning performance brief Matt Pocock's skill library — the source for both the Grill Me and Handoff skills (shared via GitHub) 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 mith 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

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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
    15
  • Rating
    Explicit
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    © 2026
  • Show Website
    AI DTC WTF

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