PROMPT This

“Season 1: Ctrl+Alt+Season Finale” featuring Clint and Greg

EPISODE SUMMARY Season One has come to an end and the Prompt This team is taking a well-deserved break after 32 episodes in 32 weeks, dozens of operators, and hours of conversations about AI.  In this season finale, Clint and Greg step back and ask a simple question. What actually changed? The answer is not what you expect. They started this podcast thinking AI might reshape work someday. What they found is that it already has. Quietly, unevenly, and in ways most people are still missing. In this episode, they unpack the moments that changed their minds. Where they got it wrong early. Where the hype collapsed. And where the real signal showed up. You will hear why the idea of AI fully replacing jobs does not hold up in practice, but also why that does not mean your job is safe. You will hear what is actually working inside companies right now, and why most teams are still stuck talking about tools instead of getting results. There is also a shift they did not expect. The advantage is no longer going to the people who discovered AI first. It is going to the ones who quietly built it into how they work every day. This episode draws a line between curiosity and execution. Between people experimenting with AI and people using it to win. If you have been circling AI, watching from the sidelines, or telling yourself you will get to it later, this conversation will challenge that thinking. Season One was about figuring out what AI is. This episode makes it clear what happens next. CHAPTER BREAKDOWN  00:00 – Opening and Season Finale Setup  Clint and Greg frame this as a different kind of episode and reflect on finishing their first season. 01:07 – What It Took to Build Season One  A look at the scale of the journey and how far they have come from the early days. 02:07 – The Shift from Curiosity to Real Usage  How AI moved from a side experiment to part of everyday work. 03:33 – Why First Movers No Longer Have the Edge  The playing field is leveling, but not for the reason most people think. 04:18 – Where AI Actually Delivers Value  A grounded discussion on real use cases versus hype. 05:20 – The Moment That Changed Clint’s Thinking  A sharp insight on ownership, credibility, and how to talk about AI. 07:17 – The Job Debate Revisited  The hosts challenge their original stance and unpack what is really happening. 09:28 – The Three Big Takeaways from the Season  What matters now and what does not. 11:11 – Tools vs Execution  Why access to AI tools is no longer the differentiator. 11:39 – Closing the Season  A direct message to listeners and a reflection on the journey. 12:23 – What to Expect in Season Two  A shift from talking about AI to showing how to use it. 12:44 – Outro  Wrapping Season One and setting up what comes next.

"The CRO’s Field Guide to Real-World AI" featuring Jason Rushforth

GUEST INTRODUCTION Jason Rushforth is a seasoned Chief Revenue Officer and career sales operator who has built and scaled high-performing go-to-market teams across multiple organizations. He brings a sharp, field-tested perspective on how deals actually get done, where sales processes break, and how to fix them. More recently, Jason has been hands-on with AI in sales and marketing workflows, separating what delivers real impact from what just looks good in a demo.    EPISODE SUMMARY  This episode cuts straight through the noise around AI in sales. Jason brings a CRO-level lens to a market flooded with promises. The core message is simple but often ignored. AI only matters if it solves a real problem. Everything else is just marketing. The conversation moves fast across three realities. First, most “AI-powered” tools are just repackaged SaaS with a thin layer of automation. Second, when AI works, it compresses weeks of work into minutes and changes how teams operate. Third, the real advantage comes from how operators use AI, not the tool itself. You will hear where AI is already delivering value today. Territory planning that used to take weeks now happens in minutes. Qualification gets sharper in real time. Pipeline generation becomes proactive instead of reactive. You will also hear where things break. Forecasting still struggles. Pricing models are unclear. And the gap between demo and reality is still wide. The through line is practical. Start with the problem. Test in small pilots. Use AI to guide decisions, but do not let it replace judgment. If you are responsible for revenue, this episode gives you a clear starting point and a filter for what actually matters. AI CHALLENGE CALL-TO-ACTION  This week’s AI Challenge focuses on one simple idea: stop chasing AI tools and start solving real problems. Pick one friction point in your sales or marketing workflow. Then use AI to test a targeted solution through a small pilot. No big rollout. No long-term commitment. Just proof. Get the full breakdown, step-by-step instructions, and tools here: https://www.promptthis.ai/blog/how-to-select-ai-business-solutions-the-right-way [https://www.promptthis.ai/blog/how-to-select-ai-business-solutions-the-right-way]  CHAPTER BREAKDOWN  00:00 – Intro to Jason Rushforth  Clint sets the stage with Jason’s background and why his perspective on AI is grounded in real-world revenue operations. 01:00 – Sales Operators Take Over  Greg and Jason lean into their CRO roots while Clint jokes about getting pushed out of the funnel. 02:30 – AI Hype vs Reality  Jason explains why most AI claims fall apart and how to evaluate whether a tool solves a real problem. 04:00 – How to Spot Fake AI Fast  A practical framework for identifying tools that are just legacy SaaS with AI branding. 05:40 – Biggest AI Miss and Biggest Win  A failed forecasting tool vs a standout territory management solution that compresses weeks into minutes. 08:30 – Why Simple Problems Win  The best AI solutions are often the least flashy but solve real operational pain. 10:00 – “Beat the Machine” Mindset  Using AI as guidance, not gospel, and why top performers outperform the model. 11:00 – AI for Sales Reps  Using tools like ChatGPT for objection handling and confidence building in live deals. 12:00 – AI-Driven Qualification  How AI prompts reps in real time to ask better questions and capture data automatically. 14:30 – Pipeline Still Rules Everything  “Pipeline saves lives” and how AI can prioritize the right prospects at the right time. 16:00 – AI for Daily Sales Execution  Tools that tell reps exactly who to contact and why, turning signals into action. 17:00 – AI in Inbound and BDR Workflows  How AI is starting to automate lead routing and early-stage engagement. 18:30 – The SaaS vs AI Shift  Jason’s take on the so-called SaaS disruption and where traditional companies still win. 21:00 – Why Product Alone Is Not Enough  Clint pushes on the idea that companies are more than features, highlighting infrastructure and trust. 23:30 – The Pricing Problem  Seat-based SaaS vs usage-based AI and why CFOs struggle with unpredictability. 27:00 – Where to Start with AI  Jason’s playbook: identify problems first, then find solutions that directly address them. 29:00 – The Three Areas to Focus On  Rep productivity, territory management, and better visibility into pipeline and forecasting. 31:00 – Start Small and Pilot  Why testing before buying is the safest way to adopt AI without breaking your business. 32:00 – Closing Thoughts and Where to Find Jason  Jason shares how to connect and encourages ongoing dialogue as the AI landscape evolves.

"Clash of the Cohosts: Prompt This Smackdown II"

GUEST INTRODUCTIONS Time for something a little different and have some fun. This episode brings back the ten most recent Prompt This guests and turns them into "Rapid Fire Smackdown" competitors. You get a mix of CEOs, operators, analysts, and AI builders including Erik Archer Smith, Emily Maxie, Julie Trelstad, Ken Roden, Warren Kucker, Brooks Bush, Bruce Daley, Joshus Gould, Dr. Shelli Hendricks, and Martin Schneider. Clint and Greg draft from this pool and go head to head. No long interviews. Just their best answers, put under pressure. Two teams with very excited captains. Five questions about AI realities. One AI judge.  Lots of fun.  EPISODE SUMMARY This episode is fast, competitive, and a bit unpredictable. Clint comes in as the defending champion. Greg comes in prepared and looking to steal the belt. They draft teams from past guests and run five rapid fire questions that cut straight to what matters in AI right now. No theory. No polished talking points. Just real answers from people doing the work. What makes this one worth your time is how quickly the noise drops away. You hear what experienced operators actually think is overhyped. Where real competitive advantage is showing up. What they refuse to trust AI with. And where leaders are still getting it wrong. Some answers are practical. Some are blunt. A few are uncomfortable. And when ChatGPT is forced to pick winners, it exposes something even more interesting. AI does not always judge the way you expect. The momentum swings. The arguments tighten. And by the final round, it comes down to a single idea that cuts to the core of how AI should be used in business. You will have your own opinion on who won. CHAPTER BREAKDOWN WITH TIMESTAMPS 00:00 – The Smackdown Returns  A high-energy opening sets up a more competitive, more confident round two. 01:13 – Draft Day  Clint and Greg build their teams from the last ten guests. Strategy starts early. 05:09 – Round 1: What’s Overhyped about AI Strong takes on where AI is already breaking down in the real world. 07:01 – Round 2: Where AI Advantage Is Coming From  Speed versus specialization. Two very different paths to winning with AI. 09:07 – Round 3: What Task You’d Never Trust AI With  Accountability shows up fast. Some lines people will not cross. 12:00 – Round 4: One AI Tool to Roll Out Everywhere  A tactical answer collides with a more strategic one. This round shifts momentum. 14:18 – Round 5: The Biggest Misconception about AI This is the one that matters. The answers get sharper and more opinionated. 17:00 – Final Decision  ChatGPT makes the call. You may or may not agree, but one of the hosts is thrilled to take home the Rapid Fire Smackdown belt. 18:00 – Closing Thoughts  A quick reflection on what these answers reveal about where AI actually stands today.

“AI Can Translate Everything. It Still Can’t Make You Global” featuring Joshua Gould

GUEST Joshua Gould is the Group CEO of thebigword [https://en-us.thebigword.com/], one of the world’s largest language services and multilingual technology companies. His organization supports governments, healthcare systems, and global enterprises where accuracy is critical and mistakes carry real consequences. He has spent decades at the intersection of language, technology, and global business. While he has long believed AI will transform translation, he is clear that it will not eliminate the need for humans. Instead, it will reshape how global companies operate and compete.   Joshua also hosts the Exec Craft channel on YouTube for CEOs and senior leaders looking to hone their business leadership skills.  https://www.youtube.com/@Exec_Craft [https://www.youtube.com/@Exec_Craft] AI CHALLENGE CALL-TO-ACTION This week’s AI Challenge pushes you past basic translation. Most companies think going global with AI is as simple as translating a website. It’s not. The real challenge is operating in another language, not just writing in one. Try the challenge and learn how to translate your business, not just your words. 👉 Read the full challenge: https://www.promptthis.ai/blog/how-to-translate-your-business-not-just-your-words [https://www.promptthis.ai/blog/how-to-translate-your-business-not-just-your-words] 👉 Share your results: https://www.promptthis.ai/contact [https://www.promptthis.ai/contact]   EPISODE SUMMARY AI makes global business look easy. Translate your website, translate your pitch, and suddenly you are international. That is the story most people want to believe. This conversation breaks that idea apart. Josh Gould explains that translation is only a small piece of the problem. Culture, laws, customer expectations, and support all sit underneath the surface. You can translate everything perfectly and still fail the moment a customer asks a question you cannot answer. The discussion goes deeper into what is really happening in AI right now. There is a gap between what gets demoed and what actually works inside a business. Many tools look impressive, but when they hit real workflows, humans are still doing most of the work. At the same time, AI is creating massive opportunity. Demand for content and communication is exploding, and companies that use AI correctly can scale faster than ever. But there is a catch. AI does not fix broken processes. It amplifies them. The episode also explores what this means for jobs, hiring, and skills. Some roles are being replaced, but others are becoming more valuable. The advantage is shifting to people who know how to work with AI, not compete against it. The takeaway is clear. AI is powerful, but it is not magic. The companies that win will be the ones that focus on real problems, build strong workflows, and use AI as a tool, not a shortcut.    CHAPTER BREAKDOWN 00:00 – Intro: Cutting through AI hype  Clint and Greg set up the episode with a focus on what is real versus what is overhyped in AI. 02:00 – Meet Joshua Gould  Background on The Big Word and the stakes of translation in global business. 03:00 – Does AI make global business easy?  Debate on translation versus real-world complexity like culture and operations. 05:00 – Why translation alone is not enough  Customer support, logistics, and product differences create real friction. 07:00 – How AI transformed the translation industry  Lower costs led to massive demand growth instead of shrinking the market. 11:00 – AI interpretation and real-time language  The shift from written translation to live spoken language powered by AI. 13:00 – Demo vs reality in AI adoption  Why many companies sell AI features that customers do not actually use. 14:30 – The risk of AI inside broken workflows  AI accelerates outcomes, good or bad. 18:30 – AI inside operations and call centers  Automation, culture, and resistance inside real organizations. 21:00 – Where to start with AI in your business  Focus on outcomes, clean data, and real problems before adding AI. 24:00 – Why orchestration beats picking one AI tool  The case for using multiple AI systems instead of locking into one. 26:30 – Jobs: replaced or created?  AI reduces some roles while increasing demand for others, especially in sales and strategy. 29:00 – Rethinking education and training  Why apprenticeships may matter more than traditional degrees in an AI world. 32:00 – Tools Josh actually uses  A practical look at AI tools in both business and personal workflows. 34:00 – AI Challenge: Translate your business  Go beyond words and rethink how your company operates globally. 35:30 – Closing thoughts and where to find Josh  Final insights and how to continue the conversation.

"From Enterprise Funnels to One‑Click Sales: One Founder Putting AI to Work" featuring Erik Archer Smith

GUEST INTRODUCTION Erik Archer Smith is a veteran marketing leader with nearly two decades of experience scaling enterprise SaaS companies from early traction to more than $150 million in annual recurring revenue. Over his career he has led demand generation, account-based marketing, brand, and growth teams at companies including CommerceIQ, Treasure Data, Arena, and Scale Venture Partners.    Today he is exploring a different path. Archer is building his passion project.  It is a direct-to-consumer AI product called ABCMe.ai which is an app that creates custom coloring books designed to help young kids practice early reading and writing skills. The idea started as a parenting hack and turned into a real company with a real product powered by AI.    EPISODE SUMMARY Archer spent nearly two decades scaling enterprise SaaS companies. Then one afternoon he used ChatGPT to create a coloring page for his five-year-old son. That small moment turned into something much bigger. In this episode, he explains how that experiment became an AI-powered product and why many B2B marketing instincts translate surprisingly well into building a consumer business. But he also discovered something very different. In B2B you nurture prospects. In consumer products you often get a single shot. One click has to convert.  This imperative has taken his marketing skills to a whole next level. Archer also shares how he actually works with AI day to day, including a simple technique where he has different models challenge each other to pressure test ideas. The conversation ends with a candid discussion about AI and jobs, and why the real shift may be the rise of the “super operator,” someone who can orchestrate AI systems to do what once required an entire team. AI CHALLENGE THE SCREEN-FREE AI HOUR AI is usually marketed as a way to spend more time on screens. More dashboards. More tabs. More notifications. But what if AI could actually help you spend less time on screens? Inspired by Eric Archer Smith’s experience building ABCMe.ai, this week’s AI Challenge explores how AI can help structure activities that pull you away from devices instead of deeper into them. The challenge tests three simple ideas: * Replace one kid screen moment with a printable AI-generated activity * Let AI plan a short walk, then put the phone away * Run a one-hour work block that requires no computer It’s a simple experiment that flips the usual AI narrative. Instead of AI consuming your attention, it helps create space for real-world moments. Read the full challenge and prompts here:    https://www.promptthis.ai/blog/how-to-use-ai-to-create-a-screen-free-hour [https://www.promptthis.ai/blog/how-to-use-ai-to-create-a-screen-free-hour]  CHAPTER BREAKDOWN 00:00 – Intro to Eric Archer Smith  Greg introduces Archer and his background scaling SaaS companies and leading marketing teams. 02:00 – B2B marketing roots  Archer explains how he got started building products and why he chose to learn go-to-market skills. 04:30 – The parenting moment that sparked ABCMe.ai  A simple ChatGPT prompt for his son leads to the idea for personalized AI coloring books. 08:30 – From SaaS marketer to solo builder  How Archer used AI tools to quickly build and launch a new product. 10:00 – What transfers from B2B to D2C  Market analysis, positioning, and content strategy still work the same. 11:30 – The biggest difference: one-click conversion  Consumer products often have a single chance to convert a customer. 14:00 – Archer’s real AI workflow  Using multiple LLMs to challenge each other and improve thinking. 18:00 – Hidden technical breakthroughs  How AI helped solve a non-obvious product architecture problem. 19:30 – Will AI replace jobs?  Archer says yes, especially for junior roles and repetitive tasks. 22:30 – The rise of the “super operator”  AI enables individuals to orchestrate work that previously required teams. 25:30 – Decision fatigue in the AI era  Faster iteration means more decisions and more responsibility. 26:30 – Favorite AI tools right now  Lovable, Vercel, Cursor, Replicate, and other tools Archer uses. 28:30 – Advice for professionals getting started with AI  Use AI for content creation, personal writing assistants, and quick experimentation. 31:00 – Build something this weekend  Archer’s final advice: start building and learn by doing.