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AI can write the draft. It cannot build the brand. On this episode of SaugaTalks, Irene talks with Todd Anthony, the founder and executive creative director of Pinwheel Agency, a senior-only creative shop focused on brand storytelling, verbal branding, and content.

Todd covers what actually happens when content gets cheap: average work floods the market, search throttles the slop, and the only thing that still moves a buyer is trust plus a point of view. Todd’s core idea is simple. AI is a prediction machine. It predicts the next word fast from everything it has been fed. That makes it excellent at the mean — and a weak place to start if you need someone to care.

In this conversation:
• Why “will AI take the work?” is the boring question
• When execution is easy, what part of the work gets more valuable
• Why AI-generated first drafts rarely connect
• Why mandating “70% of articles must be AI” is a strategy that backfires
• What happened when a client heard that take on a podcast
• How search engines treat mass-produced AI content
• How to use AI without turning your brand into the average of the internet
• What a brand system looks like when the machine can copy the output, but not the judgment behind it.

If everyone can generate average in seconds, the scarce assets are taste, standards, and deciding what not to publish. Watch if you lead content, marketing, or a brand that cannot afford to sound like everyone else.

🚀 Welcome to SaugaTalks — Where AI Meets the Future of Business! I’m Irene, Founder & Host of SaugaTalks, bringing you unfiltered conversations with the brightest minds in AI, technology, and digital transformation. In every episode, we break down the trends shaping industries, explore game-changing innovations, and share practical insights you can use today.

🔹 Let’s Connect
LinkedIn → https://www.linkedin.com/in/irenelyakovetsky/
X (Twitter) → https://twitter.com/lyakovet
YouTube → https://www.youtube.com/@SaugaTalks

📌 About SaugaTalks: SaugaTalks is your go-to channel for fresh perspectives on AI, automation, cybersecurity, and digital transformation. Whether you’re a business leader, innovator, or tech enthusiast, you’ll find actionable takeaways in every conversation.

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In this full episode, we sit down with Peter Stuart, former editor of Cyclingnews (the world’s largest cycling website) and co-founder of Velora — an AI operating system built specifically for specialist and niche publishers. Peter shares the real story of quitting a senior editorial role, launching an AI-native cycling publication (Velora Cycling), and then turning the underlying tools into a platform now used by multiple publishers.

We dig into practical workflows, multi-layer verification, the exact role of the human editor, measurable productivity gains, and the biggest mistakes publishers are still making with AI content. Whether you’re a journalist, newsroom leader, specialist publisher, or just curious about AI that actually works in editorial environments, this conversation is packed with actionable insights.

Timestamps / Chapters
0:00 – Intro & welcome
1:00 – Peter’s background: from Cyclist magazine to editor of Cyclingnews
2:40 – Why he left a big publisher to build an AI-native company
4:00 – Meeting co-founder Danny Bellion & launching Velora Cycling
5:10 – AI in writing & journalism: authenticity vs generic “AI slop”
7:00 – Mechanical content (press releases, results) vs opinion/insight pieces
9:30 – Using AI for transcription, research, and interview analysis
11:00 – Handling hallucinations, original sources & “fact laundering”
12:40 – Deep research pipeline & the “Journal Bench” benchmark
14:50 – Multi-layer verification system (draft → check → deep verify)
17:00 – The critical role of the human editor in the new workflow
19:00 – Authorship, responsibility & bylines in the AI era
21:00 – How the publishing industry is changing
23:00 – Ideal future newsroom: automate the mechanical, double-down on human insight
25:10 – Real productivity results & client case studies (traffic & time savings)
28:00 – Common disasters & lessons learned (thin content scaling, lack of oversight)
32:00 – Why AI video/avatars often fail in serious publishing
33:30+ – Closing thoughts, advice & wrap-up

Connect with Peter Stuart:
Velora → https://velora.build

🔹 Let’s Connect
LinkedIn → https://www.linkedin.com/in/irenelyakovetsky/
X (Twitter) → https://twitter.com/lyakovet
YouTube → https://www.youtube.com/@SaugaTalks

📌 About SaugaTalks: SaugaTalks is your go-to channel for fresh perspectives on AI, automation, cybersecurity, and digital transformation. Whether you’re a business leader, innovator, or tech enthusiast, you’ll find actionable takeaways in every conversation.

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The traditional B2B GTM playbook is changing. But what should founders build instead?

In this episode of SaugaTalks, Irene sits down with Santiago Faus, founder of MaribouPartners, to explore how AI, buyer behavior, and content-driven trust are reshaping modern go-to-market strategies.

Instead of relying solely on cold outreach and large SDR teams, today's fastest-growing companies are combining AI-powered signals, outbound automation, and authentic personal branding to create more effective growth engines.

In this conversation, you'll learn:

🚀 Why the traditional GTM model is no longer enough for many B2B companies

🤖 How AI is transforming prospecting, lead qualification, and outbound sales

📈 Why signal-based selling is replacing spray-and-pray outreach

💡 The role of LinkedIn content in building trust before the first sales conversation

🎯 How founders can balance automation with genuine human relationships

⚠️ Common GTM mistakes that damage deliverability, brand credibility, and growth

🛠️ Practical AI tools and GTM tech stack recommendations for modern founders

Whether you're a founder, CEO, sales leader, marketer, or entrepreneur, this episode offers practical frameworks you can apply immediately to build a smarter, more scalable go-to-market strategy.

Timecodes:

00:00 Introduction

01:02 Why the Traditional GTM Playbook Is Changing

03:48 From Cold Outreach to Buyer Intent

06:52 How AI Is Transforming Go-to-Market

10:08 Signal-Based Selling vs. Volume Outreach

13:35 Real-World GTM Success Story

16:22 When the Old Playbook Still Works

18:58 Building Trust with LinkedIn Content

22:04 Where B2B Founders Should Start

25:18 Biggest GTM Mistakes to Avoid

28:05 AI Tools & Modern GTM Tech Stack

31:05 Human Relationships in the Age of AI

33:00 Final Advice for Founders

If you enjoyed this conversation, please:
👍 Like this video
💬 Share your biggest GTM challenge in the comments
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#GoToMarket #B2BSales #ArtificialIntelligence #SalesStrategy #LinkedIn #Founder #Startup #RevenueGrowth #Marketing #BusinessGrowth #SaaS #Entrepreneurship #saugatalks

🚀 Welcome to SaugaTalks — Where AI Meets the Future of Business! I’m Irene, Founder & Host of SaugaTalks, bringing you unfiltered conversations with the brightest minds in AI, technology, and digital transformation. In every episode, we break down the trends shaping industries, explore game-changing innovations, and share practical insights you can use today.

🔹 Let’s Connect
LinkedIn → https://www.linkedin.com/in/irenelyakovetsky/
X (Twitter) → https://twitter.com/lyakovet
YouTube → https://www.youtube.com/@SaugaTalks

📌 About SaugaTalks: SaugaTalks is your go-to channel for fresh perspectives on AI, automation, cybersecurity, and digital transformation. Whether you’re a business leader, innovator, or tech enthusiast, you’ll find actionable takeaways in every conversation.

✅ Enjoyed this conversation?

Like 👍 the video

Subscribe 🔔 to SaugaTalks.

Share 📢 with your network.

#SaugaTalks #AI #ArtificialIntelligence #DigitalTransformation #FutureOfWork #Technology #Leadership #BusinessInnovation

Support the show