DTC Podcast

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Braydon from Pilothouse joins for a fast AI check-in on what the team is actually shipping right now. Not theory. The exact tools, prompts, and workflows behind their current creative output.

If you run growth or creative at a DTC brand or agency, this is a look at how one team is collapsing production time on landing pages, video ads, and founder content using AI.

The sub-agent "council" prompt: rewrite a landing page eight ways, with each sub-agent playing a role (copywriter, CEO, customer, CRO expert), then have the council rate the versions and a final decision maker pick the winner.
How to keep Claude fast on long projects: ask the chat to summarize itself into a markdown file, then carry that into a fresh chat instead of letting one thread balloon.
Higgsfield as a model aggregator: one place to run VO3, Kling, ElevenLabs, and image models, with one-click image-to-video and multiple aspect ratios.
The founder avatar workflow: build a 30-second explainer with B-roll and slow zooms, clone the founder's voice in ElevenLabs, and ship it the same afternoon.
Why Braydon leans into obviously-AI creative (claymation, Pixar-style) instead of trying to pass synthetic people as real.
How Meta's Andromeda rewards ads that improve the scroll, and why social boosting organic winners is finding new scale.

Who this is for:
DTC operators, growth marketers, and agency creative leads who want a current, practical AI workflow rather than a hype reel.

What to steal:
The sub-agent council prompt, the Higgsfield image-to-video and voice-clone pipeline, and the social boosting approach to finding ad winners.

Timestamps:
00:29 Fable AI and One-Shot Development
06:54 Higgsfield for AI Creative Production
10:33 New AI Advertising Disclosure Rules
13:15 AI Search, SEO, and Answer Engines
14:33 How Andromeda Rewards Better Ad Experiences

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This episode, Kemberly Gong, VP of Marketing at Contentful, joins Eric to walk through what some marketing leaders are calling “The Great Content Collapse”, and what marketers can actually do about it.

The setup: 60% of Google searches now result in zero click-through, and replaced by GenAI models like AI overviews. LLMs already account for 5% of traffic and climbing. Marketing budgets are flat or shrinking. Companies are flooding consumers with AI slop to hit KPIs. And consumers can smell it. 50% lose trust in a brand when they think the content was written by AI.

Explore Contentful: https://www.contentful.com/?utm_source=dtc&utm_medium=podcast&utm_campaign=fy27-q2-global-tl_awareness&utm_content=gcc

What you'll learn:
What is the "great content collapse" and why traditional content strategy is breaking
AEO vs SEO: where they overlap and where they diverge
Why agentic agents prefer structured, query-aligned content with third-party validation
How buyer behavior is changing and what marketing teams can do to stay ahead
Where brands over-rely on AI and how to keep the human voice
The 30-day content audit for the agentic web
The Pets Deli case: 50% conversion lift from one personalization change
The Ruggable BFCM case: 7x CTR and 25% conversion lift from personalized hero banners + homepages
How Bossard scaled its content across 18 languages and 38 countries with AI workflows using personalization software
What On Running does to drive 40% of sales online
Plus: Kemberly Gong's 30-day content audit checklist for the agentic web.

Timestamps:
00:00 The Great Content Collapse
05:38 AEO vs SEO Explained
10:08 Why Personalization Wins in 2026
13:27 Where AI Actually Helps Marketing Teams
22:23 Building Brand Trust Across Channels

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Origin owns its entire supply chain. The thread, the brass, the leather, the denim, all of it made or sourced in America, in their own factories. That sounds like a constraint. Justin Parker explains why it is actually the brand's biggest growth lever.

Justin runs e-commerce at Origin, the American-made apparel brand born in jiu-jitsu gear and now backed in part by Jocko Willink. He sits at the intersection of marketing, ops, and manufacturing, and that vantage point is exactly what makes the AI stack so powerful for him.

What you will learn:
How owning manufacturing let Origin pull a planned-for-June product into the line overnight when a hoodie went viral in January
Why Origin uploaded its 20-page production tech packs into Moby, and how that turned a marketing tool into something that diagnoses manufacturing defects
How they run 100% internal media buying through an agentic media buyer, and the one question Justin asks it: "what in your context made you decide to pause this ad?"
Why branded search spend got flagged as non-incremental, and how goal-setting changes what the AI does
How the e-commerce team stopped hiring internally while the rest of the business keeps net hiring
Where Justin thinks the role is going next: agent orchestration and one centralized goal pushed down to every business unit

Who this is for: DTC founders and operators, e-commerce and growth leads, anyone figuring out how to actually deploy AI agents inside a real business.

What to steal: Justin's approach to context loading. The output you get from any AI tool is capped by the context you feed it. He spent an afternoon uploading product blueprints one PDF at a time, and it changed what the tool could do.

Timestamps:
0:00 Origin's Unexpected Maduro Viral Moment
2:01 Building an American-Made Supply Chain
7:00 Pricing Premium Products in a Competitive Market
15:02 How Vertical Integration Creates a Growth Advantage
22:18 Inside Moby AI and Agentic Media Buying

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Most brands are quietly killing themselves with growth hacks. Swapping button colors, chasing this week's ROI, discounting to hit the number.

Duncan, Strategy Lead at Pilothouse, makes the case that this is the worst creative strategy there is, and walks through what actually builds a brand that lasts.

Duncan runs strategy at Pilothouse, where brand and performance are treated as one system instead of warring departments. He explains why Meta's Andromeda shift is quietly ending the era of high-volume AI slop creative, and what replaces it.

What you will learn:
Why the growth-hack mentality leads to a discount death spiral and erodes brand value
What Meta's Andromeda infrastructure changed, and why it forces advertisers toward thoughtful creative over high-frequency iteration
How to integrate brand and performance instead of picking one
Why siloed agencies fight over attribution while the customer journey falls through the cracks
The one question to ask any agency before you hire them: "Where will growth come from this year?"

Who this is for: DTC founders, brand and growth leads, and anyone choosing between agencies or trying to make brand and performance work together.

What to steal: the agency-selection test. If a partner can only answer with optimizations, they are a vendor. If they can tell you where growth comes from this year, they are a strategist.

Timestamps:
00:00 Why Growth Hacking Is Breaking Brands
03:00 Meta Andromeda Changed Creative Strategy
06:00 The Problem With Optimizing Only for ROAS
12:00 Building Customer Journeys Beyond Attribution
20:00 Measuring Channels by Their Actual Job

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Recorded live at The Whalies.

Enterprise brands are past the prompt-and-generate phase of AI. The conversation has moved to connected data, agentic media buying, personalization, attribution, and the quiet operational wins that actually move the P&L.

Eric Dyck sits down with Justin Parker (Origin), Ashley Kick (DÔEN), and Martha Ann Pavoni (Universal Ads) to unpack how leading ecommerce brands are embedding AI across the commerce stack — without losing trust, measurement, or human judgment.

This episode is brought to you by Triple Whale. Much of the panel centers on Moby 2, Triple Whale's agentic operator for insights and media buying — Justin Parker runs all but three of his Meta campaigns through it and has been in the beta since the start.

Learn more: Triple Whale

In this episode:
Why business context — not the model — is the missing ingredient in most AI implementations
How DÔEN rolls out AI one workflow at a time to measure real incremental lift
What happens when AI runs all but three of your Meta campaigns
Why connected TV and incrementality are eclipsing the click
The retargeting decision where AI flatly contradicted itself a week later
Where human oversight still matters most — and how to size it to risk

What to steal:
Build a trusted source of truth before you layer AI on top
Test AI one workflow at a time so you can actually attribute the lift
Point AI at analysis and reporting first; hand it bigger decisions later
Scale human-in-the-loop in proportion to dollars and customer exposure

For DTC operators managing multi-channel growth who need more output without adding headcount.

Timestamps:
0:00 AI Is Only As Good As The Data Behind It
2:03 How Enterprise Brands Roll Out AI Without Breaking Things
8:16 Why Some Brands Refuse To Use AI Creative
18:28 Inside Agentic Media Buying And AI-Powered Marketing Teams
30:03 The Biggest AI Opportunity Most Brands Are Missing

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