GTM AI Podcast with Coach K and Jonathan Moss

AI Business Network
  • 5.0 (9)
  • BUSINESS
  • UPDATED WEEKLY

Welcome to the GTM AI Podcast, your go-to independent resource to help GTM Professionals become AI Powered. We will cover strategies, new AI tools, AI news and trends, all for the purpose of helping you create real measurable business impact and help your life be easier. We do weekly episodes ranging from interviews to updates to strategy sessions. Sponsored by the AI Business Network www.aibusinessnetwork.ai and GTM AI Academy www.gtmaiacademy.com

  1. FEB 11

    Claude Cowork Setup: How One Founder Replaced $14K of Agency Work in 30 Minutes

    GTM AI Podcast: www.gtmaipodcast.com GTM AI Academy: www.gtmaiacademy.com AI Business Network: www.aibusinessnetwork.ai Steve Cunningham / Humans Plus Agents: https://humansplusagents.ai/ Steve on LinkedIn: https://www.linkedin.com/in/aisteve/ Steve Cunningham built a 10-year business around being the best in the world at summarizing business books. Then AI did it in 5 minutes. Instead of fighting it, he burned it down and rebuilt. Now he runs an AI agent operation inside Claude Cowork where 30 minutes of his time replaces 70 man-hours and $14,000 of agency work. In this episode, Steve walks through his exact setup: the folder structure that treats AI like a company, why HTML is replacing every other file format, the invoice method that rewires how you plan, and the overnight improvement loop that makes his system better while he sleeps. Plus, Steve is offering GTM AI Academy listeners access to his Black Belt AI Workflow Engineering training. Link in the show notes. 🔗 LINKS & RESOURCES GTM AI Podcast: www.gtmaipodcast.com GTM AI Academy: www.gtmaiacademy.com AI Business Network: www.aibusinessnetwork.ai Steve Cunningham / Humans Plus Agents: https://humansplusagents.ai/ Steve on LinkedIn: https://www.linkedin.com/in/aisteve/ 📌 TIMESTAMPS 0:00 - Intro and Steve's background 5:18 - How AI killed his dream job 8:57 - Simple Academy to Humans Plus Agents 10:11 - Claude Cowork setup and demo 14:03 - The org chart mental model for AI 15:34 - Why HTML beats Markdown and Office docs 22:43 - Folder structure walkthrough (advisors, agents, context, projects) 25:09 - The $14,000 in 30 minutes demo 27:04 - Treating every day like a quarter 28:11 - The continuous improvement loop 33:02 - What is actually NEW vs. just faster 34:15 - Distribution, deployment, and data framework 36:52 - Black Belt training offer 39:53 - The Bezos question: what will NOT change

    40 min

  2. FEB 4

    How to Replace a $300K Competitive Intel Team with $30 and 4 Hours

    www.gtmaipodcast.com www.gtmaiacademy.com www.aibusinessnetwork.ai For more From our Guest Scott Ewalt: https://www.cardinalelement.com/ Or his Linkedin: https://www.linkedin.com/in/scottewalt/ Most competitive intel sits on shelves collecting dust while your competitors ship faster. Your team spends weeks building battle cards. By the time they reach your reps, your competitor has shifted messaging. You find out three deals later when someone mentions it in a loss review. Your head of sales asks why competitive enablement is always behind. You don’t have a good answer. Scott Ewalt just demonstrated building a competitive intelligence engine from scratch in 4 hours. Zero Python experience. No developer hire. Just Claude Code and a clear outcome: turn scattered competitive signals into queryable intelligence. The result: 91 podcast episodes transcribed, where he uses our own podcast as the source, stored in a vector database, with a custom web UI that surfaces strategic insights competitors broadcast publicly but you’ve never synthesized. Guest: Scott Ewalt - Former product, marketing, and CX operator who’s spent his career finding “unfair advantages” through technology. Not a developer. Never wrote production code. Didn’t open a terminal before Q4 2025. The Demo: Building a competitive intelligence system that: Transcribes and stores 91 podcast episodes (81.2 hours of content) Creates a queryable vector database with zero hallucinations Builds a custom web interface for team queries Returns specific quotes with episode citations and timestamps

    40 min

  3. JAN 28

    5 AI Workflows MindStudio's GTM Leader Runs Daily to 3x Pipeline

    www.gtmaipodcast.com www.gtmaiacademy.com www.aibusinessnetwork.ai www.mindstudio.ai 5 AI Workflows MindStudio's GTM Leader Runs Daily to 3x Pipeline Most partnership and sales teams spend 60% of their week on research, prep, and administrative friction. The top 5% automated all of it. In this episode, I sit down with Dannielle Sakher, VP of GoToMarket at MindStudio.ai, who walks through the exact AI agent workflows she uses to close enterprise partnerships and deals. Not theory. Pure execution. These are the agents running behind the scenes at one of the fastest-moving AI platforms right now. What You'll Learn: LinkedIn Connection Crafter (4:22) - How to send 200+ personalized LinkedIn requests per week without sounding like a bot Rewrite Pitch Agent (14:09) - Pull live prospect research in real-time and transform generic pitches into targeted outreach Cheat Sheet Generator (22:17) - Collapse 3 hours of meeting prep into 2 minutes of automated research Contract Analyzer (31:19) - Flag high-risk contract terms without legal bottlenecks and move deals faster Launch Teaser Creator (37:11) - Make partnerships tangible before they exist with automated mock press releases The Big Insight: Dannielle isn't automating busywork. She's automating the high-value activities that made her successful in the first place. Personalized research, deep prep, creative pitch assets. Most people stop doing these when they get promoted because there's "no time." She built agents to do them at scale. Try All 5 Agents (Free) on the newsletter at www.gtmaipodcast.com Resources: → Sign up for MindStudio: https://www.mindstudio.ai/ → Join AI Agent Academy Bootcamp: https://mindstudio-academy.circle.so/ai-agent-academy Connect with Dannielle Sakher: → LinkedIn: https://www.linkedin.com/in/danniellesakher/ About GTM AI Academy: GTM AI Academy is where go-to-market leaders learn to leverage AI for revenue growth. Get actionable workflows, real implementations, and zero fluff. Timestamps: 0:00 - Intro 2:45 - Dannielle's background and why MindStudio 6:12 - LinkedIn Connection Crafter demo 14:09 - Rewrite Pitch agent walkthrough 22:17 - Cheat Sheet Generator for meeting prep 31:19 - Contract Analyzer demo 37:11 - Launch Teaser creator 47:09 - Building agents with natural language 52:30 - Wrap up and key takeaways

    49 min

  4. JAN 16

    The 5-Part AI Framework That Saves GTM Teams 15+ Hours Weekly

    🎙️ www.gtmaipodcast.com 🎓 www.gtmaiacademy.com 🤖 www.aibusinessnetwork.ai The 5-Part Prompt Framework That Saves GTM Teams 15+ Hours Weekly Most GTM teams are still building complex workflows in Zapier when they could just describe what they want and let AI execute it. In this session, we demonstrate the shift from workflow builder to workflow director. The 5-part prompting framework (Objective, Constraints, Inputs, Output, Evaluation) that turns hours of technical setup into minutes of natural language. We show live examples: Data analysis: 6 hours → 5 minutes Competitive research + deliverables: 18 minutes end-to-end Interactive dashboards with zero coding The constraint isn't technical capability anymore. It's knowing what's possible. What workflow are you building manually that you could just describe instead? Drop it in the comments. #GTM #AIAutomation #RevOps #WorkflowAutomation Kept it under 200 words, action-focused, with clear value proposition.

    22 min

  5. JAN 6

    How a 6-Step AI Agent Generates 30% More SQLs on Autopilot

    GTM AI Podcast www.gtmaipodcast.com Guest: Justin Parnell (JustinGPT) 📬 Full breakdown + resources: www.gtmaipodcast.comJustin's site: https://www.justingpt.ai/ | YouTube: https://www.youtube.com/channel/UCov4kN0lK2A6O95ykql7cnQ Justin Parnell breaks down how to transform static PDFs into AI-powered, personalized lead magnets that adapt to each prospect's specific needs—automatically. Instead of sending everyone the same generic deck, his automation reads form submissions and generates custom branded proposals using Claude Opus 4.5, Gamma, and Make.com. The whole thing runs in under 60 seconds, costs about 20 cents per prospect, and his clients are seeing 30% increases in MQL-to-SQL conversion rates. As Justin puts it: "Who wouldn't spend 20 cents to send an MQL a customized piece of content and enhance those conversion rates?" The magic is in Claude's "Skills"—custom instruction sets you create once that Claude follows perfectly every time, eliminating the need for prompt engineering on each run. The conversation got really interesting when we discussed agent-to-agent GTM. Justin predicts that within 18-24 months, buyers will deploy AI agents to evaluate vendors and compare proposals without human involvement until final decision time. His philosophy: "Create agents that do specific things and chunk those things out. Don't try to build one massive agent—build focused micro-agents that do one job exceptionally well, then chain them together." This isn't some crazy complex automation—it's six workflow steps doing one thing exceptionally well: making prospects feel understood before they ever talk to sales. Beyond lead magnets, this same framework works for post-demo follow-ups, competitive battle cards, role-specific buying committee decks, event recaps, and sales proposals. Get the full technical breakdown, Make.com blueprint, and all five use case playbooks at www.gtmaipodcast.com

    46 min

  6. 12/19/2025

    Google's AI Is Judging Your AI: The Email Deliverability Wake-Up Call Every Sales Team Is Missing

    www.gtmaiacademy.com www.gtmaipodcast.com www.aibusinessnetwork.ai YouTube Description Google's AI Is Judging Your AI: The Email Deliverability Wake-Up Call Every Sales Team Is Missing Every third email you send lands in spam. That's 40-50% of your pipeline that never even sees your outreach. In May 2024, Google quietly switched to AI-based spam detection. Not keyword filters. Not rule-based systems. Actual AI deciding whether your AI-written emails sound human enough to reach an inbox. Most sales teams have no idea this happened. They're still running the same playbook while their domain reputation burns. Anastasiia Ivannikov, CEO of Folderly and former sales leader at unicorn Macpaw, breaks down exactly what changed and what to do about it. We get into the mechanics—spintax, sending velocity, behavioral signals—and the bigger strategic problem: teams using AI as a brain replacement instead of a thinking partner. If you're running outbound, managing SDRs, or building AI-powered GTM motions, this one's required listening. TIMESTAMPS 0:00 - Intro 1:00 - Anastasiia's background (started in sales at 14, joined Folderly with a 3-week-old baby) 3:00 - The problem: every third email lands in spam 5:00 - Cold outreach vs email marketing—same problem, different mechanics 7:00 - How Folderly works with AI SDRs and automation tools 8:00 - Is email dead? (Spoiler: no, but it's changing) 10:00 - The data: what actually impacts deliverability 11:00 - Google's AI shift in May 2024—AI judging AI on humanness 12:00 - Spintax explained: why copy variation is now survival mechanics 13:00 - Sending velocity: why your sequencing tool's defaults are killing you 14:00 - Value-based email content vs lazy blasting 15:00 - AI as thinking partner vs AI as brain replacement 17:00 - Why single-LLM dependency creates strategic blind spots 18:00 - The future of Folderly and multichannel outreach 19:00 - The new math: 5 touches to convert → now 17 21:00 - Why offline and physical channels are making a comeback 22:00 - Detecting AI content (the M-dash and "fluff" triggers) 23:00 - What Anastasiia's excited about: smaller teams, faster MVPs 26:00 - The value of human oversight when AI does 95% of the work 28:00 - Prompting still matters even as models improve 29:00 - Anastasiia's AI tool stack: Gamma, Midjourney, Clay, n8n, Instantly, Descript KEY TAKEAWAYS → Google switched to AI-based spam detection in May 2024 → Spintax variations are no longer optional—they're table stakes → Sending velocity matters as much as copy quality → Use multiple LLMs to avoid strategic blind spots → 17 touches to convert now vs 5 a few years ago CONNECT Anastasiia Ivannikov: https://www.linkedin.com/in/anastasiia-ivannikova/ Folderly: https://folderly.com Coach K (Jonathan Kvarfordt): https://www.linkedin.com/in/jonathankvarfordt/ SUBSCRIBE for weekly conversations with GTM leaders on AI, sales, and revenue operations. Drop a comment: What's your current email deliverability rate? Most teams don't even know

    31 min

  7. 12/10/2025

    How to Actually Implement AI That Works (Not Another Failed Pilot)

    www.gtmaiacademy.com www.aibusinessnetwork.ai Ghost Team co-founder Elliot Garreffa breaks down why most companies struggle to see ROI from AI—and what to do about it. This conversation cuts through the hype to reveal the unglamorous truth: successful AI implementation isn’t about buying licenses or running proofs of concept. It’s about understanding your actual workflows, identifying where AI creates 10x (not 2x) improvements, and building systems that your teams will actually use. Elliot shares real examples of SEO systems that compress months of agency work into minutes, and explains why human-in-the-loop isn’t a compromise—it’s best practice. “If you just go and prompt an LLM and try to create some content, it might make incremental improvements, but it’s actually not that good. Where we come in is building systems that create 10x, 100x improvements.” “You have to really understand the problem before you tackle it. Any good technology implementation does that step upfront, and we’ve found it incredibly true for the AI space.” “Don’t think about using AI to do this part of this process. You can just do an entirely different process. That gets far better results than just slapping things on top.” “The kind of thing that would’ve taken months to get back from an agency—we’re doing it directly within the chat window. That obviously changes a lot in terms of a typical process.” “When you add that human touch, it is significantly better. Regardless of how much training data you have, you can still really tell whether something has been AI-generated or not.” “One of the best things you can do when first getting started: look at things you’re spending a huge amount of time on. Focus on automating those first. They save you time, which means you can focus on more valuable tasks.” “People see these workflow automations on LinkedIn and they want them. But whether these systems work is all about the detail under the hood—the prompting, the training data, the customization to your brand.” This conversation goes deep on MCPs, context engineering, and the technical stack that actually delivers results. Listen to the full episode to hear Elliot walk through a live demo of automated SEO research and strategy that would take traditional agencies weeks to produce and learn why starting with Lindy or n8n beats jumping straight to building custom SDR systems.

    1h 9m

  8. 12/04/2025

    Why 93% of Your Team Uses AI But You Think It's 30%

    www.gtmaiacademy.com www.aibusinessnetwork.ai https://www.futurecraftai.media - Kens podcast Connect with Ken on Linkedin: https://www.linkedin.com/in/kenroden/ The Leadership Blind Spot That’s Killing Your AI Strategy If you’re a GTM leader who thinks roughly 30% of your team is using AI, I have uncomfortable news: 93% of white-collar professionals are already using it. That’s not a typo. That’s the finding from Ken Roden’s doctoral research at Temple University, surveying 200 professionals with statistically significant results The gap between what’s actually happening and what leadership perceives is now the single biggest barrier to AI execution. And it gets worse. The Real Reason Your AI Pilots Are Failing Every headline screams that 95% of AI pilots are failing. MIT published research. Consultants are writing case studies. Everyone assumes the problem is employee resistance, inadequate technology, or change management failures. They’re all wrong. Ken’s research reveals the actual failure point: employees don’t trust their leadership’s vision for how AI will be implemented. It’s not that people won’t use AI - they’re already using it extensively. It’s that they don’t believe leadership understands what they’re doing or has a coherent strategy for scaling it. Think about what that means. Your team is running shadow AI operations right now. They’re using ChatGPT, Claude, and dozens of other tools to do their jobs better. But when you announce your official AI initiative, they don’t trust it enough to adopt it at scale. Key Quotes That Reveal the Pattern On the confidence-competence gap: “There was definitely a correlation between people who said they use AI regularly and them saying that I am confident in my abilities to use AI. And I would say that’s dangerous. Because what, to your point exactly, you might think you’re good at this, but you’re actually maybe not as good as you think.” On what’s actually working: “The stuff that works, the people have the most success with, it’s the most boring stuff. It’s how do we get data from our Slack channel about customer insights into Salesforce... One of the most interesting use cases I saw... saved 20 hours a week per rep.”

    35 min
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About

Welcome to the GTM AI Podcast, your go-to independent resource to help GTM Professionals become AI Powered. We will cover strategies, new AI tools, AI news and trends, all for the purpose of helping you create real measurable business impact and help your life be easier. We do weekly episodes ranging from interviews to updates to strategy sessions. Sponsored by the AI Business Network www.aibusinessnetwork.ai and GTM AI Academy www.gtmaiacademy.com

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