In this episode, we talk with Tyler Postle, CEO & Co-Founder of Voker AI, a Y Combinator-backed startup helping small and mid-sized businesses scale without in-house AI engineers. Voker makes it possible for product managers and business leaders to build reliable AI agents and automations through a no-code platform, then deploy them instantly with APIs.

Tyler shares:

• How Voker helps SMBs cut costs and move faster without AI teams
• Real-world use cases in HR tech, pet healthcare, and SaaS platforms
• The guardrails that make AI agents safe and production-ready
• Lessons from scaling an e-commerce brand to $100M revenue
• What he learned at Y Combinator about building sustainable AI startups

Whether you’re a founder, operator, or product manager, this conversation shows you how to unlock AI’s potential and start shipping AI agents that actually work.

👉 Explore Voker AI: https://voker.ai

Where to find me:
• David: Linkedin
• Email: [email protected]

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YC’s latest wave is all about AI agents — but how do you actually make them scale? In this episode, we sit down with Sam Bhagwat, co-founder of Gatsby and now founder of Mastra, a JavaScript/TypeScript framework making AI agents production-ready.

Sam shares:

• How Gatsby grew into one of the most popular open-source frameworks
• Why 2025 is the year of AI agents, and why YC startups are betting big
• The 5 principles of building scalable AI agents (orchestration, composability, reliability, developer-first design, continuous learning)
• Real-world use cases: from fintech (PLAID Japan) to aerospace and healthcare
• How Mastra boosts developer productivity 2–3× with agent workflows and code-review bots

👉 If you’re a founder, developer, or tech leader, this episode is your playbook for navigating the agent era — and learning how to automate before you get automated.

#AIagents #YCStartups #SamBhagwat #Mastra #FutureOfWork

Where to find me:
• David: Linkedin
• Email: [email protected]

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From recreating months-long experiments in minutes to forecasting customer behavior through AI personas, discover the future of rapid, safe experimentation powered by artificial collective intelligence. 

Join James He, Co-Founder and CEO of Artificial Societies, as he unveils how AI-driven simulated markets are transforming the way businesses experiment, innovate, and grow. 


In this Episode:
00:00 Intro and motivation behind Societies
02:30 The two-month experiment recreated in two minutes
09:50 Using simulated markets to refine sales and marketing
14:00 Live demo of AI personas responding to outreach messages
20:30 Future of artificial collective intelligence and AI-powered experimentation
27:00 The evolving landscape of AI, jobs, and creativity
35:00 Q&A on China vs US in AI race and personal backstory
43:30 How James’s lean team builds advanced AI tools today
47:50 Jobs of the future: creative engineers and attention economy
50:00 Founder’s reflections and community invite

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here

🚀 AI pricing tech once reserved for Uber is now boosting Shopify store revenues by 50%+!

Discover how former Uber Product Manager Peter Moot is transforming e‑commerce pricing for small and mid‑sized businesses. In this episode, Peter shares the AI pricing and discount personalization strategies he helped scale at Uber—and how he adapted them for Shopify merchants to unlock 50%+ revenue growth. From overcoming merchant skepticism to running rigorous A/B tests, leveraging neural networks, and scaling a team of four with AI tools, Peter reveals the secrets behind Promi.ai’s success and its mission to democratize enterprise‑level price intelligence. Perfect for founders, e‑commerce owners, and AI enthusiasts eager to turn data into profit.

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here

Why do LLM apps break in production — and how can you stop them before users notice?

In this episode, Nir Gazit (co-founder of Traceloop, ex-Google/Fiverr, YC W23) breaks down how his team is solving AI’s biggest failure mode: observability. You’ll hear how Traceloop became the go-to black box recorder for LLMs, powering companies like Cisco, IBM, Miro, and more.

We cover:

• Real-world LLM horror stories
• How OpenLLMetry hit 2M+ downloads
• Miro’s strategy for safely deploying GPT-4.1
• What AI teams can learn from traditional dev observability
• The roadmap to self-improving agents

If you're building with LLMs or planning a GenAI rollout, this is essential listening.

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

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Robert Ta breaks down why today’s AI agents fall short at true personalization — and what it really takes to fix it. He shares how his company, EpistemicMe, is building belief-aware systems that align with your mental model over time.

From working with Bryan Johnson’s Don’t Die App to helping developers personalize AI agents in health, mental health, and high-stakes verticals, this episode is packed with tactical insight.

Forget surface-level AI personalization. This is about long-term alignment, trust, and AI that truly understands its users.

🎙 In this episode:
00:00 – Intro: What Epistemic Me Is & The Big Problem with AI Personalization
04:24 – Why Belief Modeling Is the Next Layer of Alignment
07:40 – Bryan Johnson’s Don’t Die App Use Case
10:05 – What “Belief Drift” Means & How to Detect It
14:20 – Building AI Memory Architecture (Working, Episodic, Semantic)
18:11 – Epistemic Evaluations vs. Traditional Engagement Metrics
21:45 – Shared Values as Core to Trustworthy AI
24:15 – Guardrails & Anchoring AI in Reliable Content
28:38 – Why They’re Building in the Open & Collaborating Through Open Source
31:50 – Treating Beliefs as Data for Long-Term Personal AI Alignment
36:05 – Mental Health Use Cases & Democratizing Access to Therapy
40:20 – How Personal AI Could Outperform Traditional Support Systems
44:35 – Can AI Be More Helpful Than People? A Nuanced Debate
48:10 – The Mental Health Gym: What Skipping It Looks Like
52:25 – The Tradeoff Between Hustle, Health, and Foundership
56:40 – The Real Pain of Today’s Healthcare Experience
01:00:55 – What the US Healthcare System Gets Wrong
01:05:10 – Can Personalized AI Close the Care Gap?
01:09:25 – Final Thoughts on AI Alignment, Policy & What’s Next

🎧 Listen now and get future-ready.

—
🔗 Find the blog recap: https://www.thehomebase.ai/interviews

👤 Connect with Fedor: linkedin.com/in/fedorzhdanov

📩 Join 6,000+ founders & tech leaders: thehomebase.ai

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

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Keith Smith, co-founder of Me4U, reveals how his AI companion platform empowers content creators to build AI clones—complete with personality, voice and visuals—to monetize fan engagement and scale your brand like never before.

Please visit my website to get more information and join 6,000+ founders & tech leaders
http://www.thehomebase.ai/

✨Visit here for top-tier tech talent, AI consulting, and product development! Build smarter with ThirstySprout: http://www.thirstysprout.com/

📰 Want to stay ahead of AI's impact on jobs and future opportunities? Join my newsletter here! https://www.thehomebase.ai/newsletter

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.
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🔗 Stay Connected With Me.

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📩 For business inquiries: [email protected]

=================================

✅ About The AI Chopping Block.

Welcome to The AI Chopping Block, where founders and tech leaders share exactly how they’re using AI to outsmart and outscale the competition. I’m David, a two-time startup founder behind $100M+ in combined revenue, and host of The AI Chopping Block podcast. On this channel, I share interviews with the sharpest minds in tech who are building lean, AI-powered companies that punch way above their weight.

From tools that replace headcount to jobs AI can’t touch, we break down what’s working right now, without the jargon or hype. Think: actionable insights, honest takes, and zero fluff. Join me and learn how real builders are using AI to move faster, scale smarter, and compete with giants.

For Business inquiries, please use the contact information below:

📩 Email: [email protected]

🔔 Looking to scale smarter with AI? Subscribe for practical founder insights, lean growth strategies, and inspiring interviews with tech leaders!
https://www.youtube.com/@aichoppingblock?sub_confirmation=1

=================================


#ai  #artificialintelligence  #contentcreators  #creatoreconomy  #aicompanion  #AIClones #fanengagement  #aidriven  #digitalinnovation  #virtualinfluencers  #techinterview

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

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Is community banking on the brink? With 4,050 small banks representing 92% of U.S. institutions and $3.2 trillion in deposits at stake, traditional workflows are creaking under fragmented data and siloed tools. 

In this deep-dive interview, I sits down with Anubhav Pradhan, co-founder of Shiftmate, to explore how an AI Copilot—powered by predictive analytics, automated workflows, and unified data integrations—can become the lifeline that community banks desperately need.


Why Listen?
Learn how AI Copilots can turn scattered bank data into growth engines.
Discover the predictive analytics models driving personalized outreach.
See real-world agentic workflows that free up bankers for high-value advisory work.


Understand the cultural shift to an AI-First mindset in fintech.
Get Involved

👍 Like this video if you believe AI can empower community banks
🔔 Subscribe & hit the bell for more Fintech AI deep dives
💬 Comment: What’s your biggest challenge in community banking?
📈 Learn more about Shiftmate & request a demo: https://shiftmate.ai

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here

What if you could clone yourself and scale your output 10x? This isn't science fiction anymore.

In this mind-expanding episode, we sit down with Fedor Zhdanov, Head of AI at Nebius, who brings over 20 years of AI experience from companies like Amazon and Microsoft. From building face recognition algorithms to shaping the future of responsible LLM infrastructure, Fedor is deep in the trenches of AI evolution.

We discuss:

• Why trust is the true currency of AI adoption
• The rise of AI agents, digital clones, and co-founder AIs
• What’s hype vs. reality in today's AGI race
• Where AI is outperforming humans—and where it's falling flat
• Why AI planning is still one of the hardest unsolved challenges
• The upcoming wave of AI regulation in Europe and globally
• And yes... the day you might pluck an iPhone off a tree (don’t ask, just listen)

This isn’t your typical AI chat. It’s a sharp, honest, and sometimes hilarious look into the future we’re all stepping into—whether we’re ready or not.

🎧 Listen now and get future-ready.

—
🔗 Find the blog recap: https://www.thehomebase.ai/blogs/weekly-ai-recap-our-interview-with-fedor-zhdanov-about-the-future-of-ai

👤 Connect with Fedor: linkedin.com/in/fedorzhdanov

📩 Join 6,000+ founders & tech leaders: thehomebase.ai

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here

Discover how Justin Coats, a former Marine turned AI strategist, built a system that replaces the work of 30 employees using AI-powered Digital Teammates.

In this episode, you'll learn:
✅ How to turn an 8-hour workday into just 20 minutes
✅ The exact AI tools & frameworks he uses
✅ Real-world examples across sales, marketing, and operations
✅ The human-centered approach to scaling AI in any business
✅ How to future-proof your team and job in the AI era

👨‍💻 Perfect For:

Business leaders scaling with limited resources
Enterprise teams implementing AI
Content ops, sales, and B2B marketing pros
AI-curious professionals who want to stay ahead


Episode Timeline:
00:00 - Introduction & Marine Corps to AI Journey
05:13 - Understanding AI Implementation
12:13 - Digital Teammates Explained
26:13 - Real Business Results
38:00 - Future of Work with AI
47:28 - Implementation Tools & Strategy
54:33 - Industry Predictions

—

📌 Full Blog Recap:
https://www.thehomebase.ai/blogs/case-study-27-from-military-precision-to-ai-innovation-how-one-ex-marine-is-revolutionizing-business-ai-adoption

📢 Follow Justin Coats:
LinkedIn → https://www.linkedin.com/in/ai-integrator/

🎯 Stay ahead of the AI curve → https://www.thehomebase.ai
Join 10,000+ tech leaders learning how to implement AI at scale.


#AIinBusiness #AIWorkforce #FutureOfWork #AIProductivity #AIFrameworks

Where to find me:
• David: Linkedin
• Email: [email protected]

Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here:

• Newsletter: Join Here