The AI Chopping Block
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The AI Chopping Block episodes

  • Bootstrapped to $300K ARR with 7 AI Builders

    7 people. No investors. $300K ARR.

    Royal Tomar built an AI startup that prints profit — without spending on ads or hiring big teams.

    In this episode, Royal reveals how he turned a simple Instagram automation idea into SPUR, a profitable AI platform that helps businesses handle customer conversations across WhatsApp, Instagram, and Live Chat — powered by AI teammates.

    You’ll learn:
    🚀 How SPUR scaled to $300K ARR — fully bootstrapped
    🤖 The pivot from WhatsApp bots to AI customer support
    💡 How lean teams outperform funded giants
    🧠 Royal’s insights on SEO, partnerships, and staying profitable
    🔥 Why saying no to funding was his smartest move

    🎧 Tune in to learn how to build smarter, not bigger — from someone actually doing it.

    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

    51 min
  • Building The Future Of Money With Agentic Commerce

    Discover how AI agents are reshaping commerce and payments.

    • What is agentic commerce and why it matters now
    • How Skyfire enables AI agents to authenticate and pay autonomously
    • The future of money: micro-payments, stablecoins, and tokenized cards
    • Real-world examples of AI transforming industries and unlocking growth
    • What founders, product leaders, and AI enthusiasts can learn today

    Get ready for a deep dive into the next wave of the machine economy.

    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

    54 min
  • AEO Secrets: How to Make ChatGPT Cite Your Brand

    Discover the powerful secrets of Answer Engine Optimization (AEO) and how to get your brand cited by ChatGPT and other AI-driven search engines. This video unveils cutting-edge strategies for brand visibility in the rapidly evolving world of AI-powered search. 

    What you'll learn in this video:
    - Key differences between AEO and traditional SEO in 2025
    - How to create content that ChatGPT and LLMs cite
    - The role of Reddit, Wikipedia, and authoritative mentions in AI SEO
    - Strategies to optimize for long-tail AI queries and prompts
    - Real-world examples of brands boosting their AI search visibility


    Learn how brands are winning mentions in AI answers by creating authority content, engaging trusted communities, and optimizing for long-tail, intent-rich queries. If you want your brand to stand out and be the answer customers find first through AI, this video is a must-watch.

    Whether you're a marketer, product owner, or startup founder, get insider knowledge from Barak Ben Noon, YC founder and CEO of Anvil, to future-proof your SEO strategy for 2025 and beyond.



    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

    43 min
  • From Viral LinkedIn Experiment to AI Ghostwriting Startup | João on Building Crafted

    What happens when a viral LinkedIn post turns into a startup idea? 

    🚀 In this episode, João (Founder of Crafted) shares how he went from launching a 30-day “1 hour per day, $1K capital” challenge with GPT-4 to building an AI ghostwriting platform inside WhatsApp that helps leaders create high-performing posts in minutes.

    We dive into:

    • How João’s viral LinkedIn experiment hit 5M+ views and attracted investors overnight
    • Why most startup leaders fail at content, and how Crafted solves it with AI + mentoring
    • Why going viral isn’t luck—it’s about strategy, hooks, and consistency
    • How CMOs and founders can use content as a growth engine without burning out

    👉 If you’re a founder, CMO, or tech leader looking to scale your brand and drive leads with AI-powered content, this episode is packed with insights you don’t want to miss.



    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

    45 min
  • AI Transforms Silent Churn Into Predictable Growth

    Failed payments silently drain $443B from SaaS and subscription businesses every year. Most founders accept it as an unavoidable cost — but it doesn’t have to be.

    In this episode, FlyCode CEO Tzachi Davidovich reveals how AI transforms silent churn into predictable revenue growth. From YC learnings to CFO playbooks, this is the inside story of building an AI-native company solving one of SaaS’s biggest leaks.

    If you’re a founder, PM, or exec in SaaS or fintech, this episode shows how to turn failed payments into a new growth engine.

    What you’ll learn in this video:
    • Why failed payments cost $443B annually
    • The AI workflow FlyCode uses to predict retries
    • How SaaS and e-commerce recover revenue invisibly
    • The 5–8% ARR boost CFOs can expect
    • YC lessons on building lean, AI-native teams

    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

    41 min
  • AI Transforms Silent Churn Into Predictable Growth

    Failed payments silently drain $443B from SaaS and subscription businesses every year. Most founders accept it as an unavoidable cost — but it doesn’t have to be.

    In this episode, FlyCode CEO Tzachi Davidovich reveals how AI transforms silent churn into predictable revenue growth. From YC learnings to CFO playbooks, this is the inside story of building an AI-native company solving one of SaaS’s biggest leaks.

    If you’re a founder, PM, or exec in SaaS or fintech, this episode shows how to turn failed payments into a new growth engine.

    What you’ll learn in this video:
    • Why failed payments cost $443B annually
    • The AI workflow FlyCode uses to predict retries
    • How SaaS and e-commerce recover revenue invisibly
    • The 5–8% ARR boost CFOs can expect
    • YC lessons on building lean, AI-native teams

    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

    45 min
  • The Silent Killer of Sales — Fixed by AI with Brian Grech

    Most online businesses don’t realize they’re losing 2–15% of revenue to false declines — when legitimate customers are wrongly flagged as fraud. It’s the silent killer of sales.

    In this episode, we sit down with Brian Grech, ex-PayPal exec and now Co-Founder of Corgi Labs, to explore how AI precision models are rewriting the payments playbook. From building PayPal Working Capital into a billion-dollar product to helping today’s merchants recover hidden revenue, Brian shares insights every founder, product leader, and exec needs to hear.


    👉 What you’ll learn:

    • Why false declines cost merchants more than fraud itself
    • How AI fraud models unlock hidden revenue
    • Real examples from SaaS and subscription businesses
    • Brian’s founder journey: PayPal → Corgi Labs
    • Lessons for fundraising in today’s market


    If you’re building in AI, fintech, or SaaS — this is a conversation you can’t afford to miss.

    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

    1 hr 22 min
  • Ship AI Features in Minutes, No Coding Required.

    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]

    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

    48 min
  • Behind YC’s AI Agent Boom

    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]

    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

    52 min
  • From Months to Minutes: The Future of Market Testing with AI Societies

    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

    54 min

About The AI Chopping Block

From the publisher's feed

Learn what works in AI right now and future-proof your business or your career so you don't end up on the AI chopping block.

Right now, AI is used for less than 1% of the problems it can…