What happens when the skills you spent decades building suddenly feel obsolete?

In this episode of Builder Stories, Tom Elliott shares the moment AI forced him to confront a terrifying truth. At 50 years old, after spending over a decade building a successful software consulting business, he watched an AI demo that made him physically ill. The machine could do most of what he had built his career on, faster and better.

What followed was not retreat, but reinvention.

Tom walks through the fear, the identity shock, and the decision to either master AI or walk away from knowledge work entirely. He explains how a single month of intense curiosity and hands-on learning flipped his mindset from panic to possibility, and how he went from marketing leader to building agents, voice AI, and production workflows without a traditional engineering background.

This is not a story about hype or shortcuts. It is a story about relevance, agency, and what it really takes to reinvent yourself in the age of AI.

If you have ever wondered whether you are falling behind, or whether it is too late to adapt, this conversation will feel uncomfortably familiar and deeply hopeful.

Learn more and connect with Tom Elliott:

1. Connect with Tom on LinkedIn: https://www.linkedin.com/in/tomelliottnh/
2. Learn more about Nutum: https://nutum.ai/

In this episode of PROMPTED, Kyle James sits down with Mike Lemire, a longtime customer success leader and advisor, to unpack what is really happening with AI inside CS teams.

AI was supposed to make customer success more proactive, more strategic, and more human. Instead, many teams are chasing “AI strategies” without clarity on outcomes, customer experience, or value.

Mike shares what he is seeing across CS organizations, including:

1. Why AI strategy has become theater instead of problem-solving
2. How investor pressure quietly shapes AI adoption in CS
3. Support teams as the earliest AI testbed and the risks of optimizing for deflection
4. The danger of over-indexing on sentiment and the “customer watermelon” problem
5. A hackathon story where vibe coding replaced a six-figure SaaS purchase
6. Why better product experiences could ultimately reduce the need for CS itself

This is a grounded, honest conversation for customer success, CX, and GTM leaders who want to use AI thoughtfully rather than chase the latest tool.

🎧 Listen for practical lessons, cautionary insights, and a clearer way forward for AI in customer success.

Learn more and Connect with Mike:

1. Connect with Mike on LinkedIn: https://www.linkedin.com/in/michaellemire/
2. Learn more about Harmonic Leadership: https://harmonicleadership.com/

Most people use AI like a faster Google or a writing assistant.

That is not where the real leverage is.

In this episode of Prompted, Kyle sits down again with Matthew Stein to break down seven practical ways to use AI as a true thought partner, not just a tool. From idea generation and structural support to persona simulation and strategic thinking, this conversation shows how modern professionals are using AI to think better, move faster, and avoid blind spots.

If you already use AI but feel like you are only scratching the surface, this episode is for you.

👉 Demo agent shown in the episode: https://agent.ai/agent/screen-test

What does it really mean to build AI agents in the real world, not just as demos, but as tools that save time, surface insight, and change how people work?

In this episode of PROMPTED: Builder Stories, Kyle sits down with Jason Burke, founder of AllStage and an experienced product builder and investor, to unpack how he thinks about AI agents and how he actually builds them. Jason shares how his background in engineering, product management, and early-stage investing shaped his approach to designing agent driven workflows that support founders, investors, and everyday life.

This conversation goes beyond theory. Jason walks through live examples of the agents he has built, including an AllStage business workflow agent that helps analyze investment opportunities, as well as personal productivity agents he created to solve real problems in his own life. Along the way, he breaks down what makes a workflow “agent ready,” where agents add the most value today, and why trust, risk, and human judgment still matter.

You will hear practical guidance on how to start building agents, why experimenting with personal use cases is often the best entry point, and how AI is lowering the barrier for anyone to become a builder. If you are curious about using AI agents to work smarter, think more clearly, or build something meaningful, this episode offers a grounded and inspiring look at what is possible right now.

Learn more and connect with Jason:

1. Jason on LinkedIn: https://www.linkedin.com/in/jmburke/
2. All Stage on LinkedIn: https://www.linkedin.com/company/all-stage-invest
3. All Stage Website: https://allstage.co
4. All Stage in All Stage: https://allstage.co/us
5. Deal analysis agent: https://agent.ai/agent/allstage
6. Company updates summarizer Agent: https://agent.ai/agent/allstage-company-updates-summary
7. Better prices/shopping assistant agent: https://agent.ai/agent/better-prices

Subscribe for more Builder Stories and visit agent.ai to start building your own agents.

What if the future of AI is not about learning more tools, building more workflows, or becoming more technical at all?

In this episode of PROMPTED we sits down with Jared Robin, Co-Founder of RevGenius, a global community of more than 60,000 go-to-market professionals, to explore where AI adoption is actually headed and why 2026 needs to be the year AI becomes human native.

Jared brings a rare vantage point, shaped by daily conversations with sales, marketing, RevOps, and customer success leaders who are navigating AI mandates, tool overload, and rising complexity. Together, they unpack why forcing GTM teams to become AI builders is the wrong long-term bet, why so many AI pilots fail, and how the next wave of AI tools must remove friction instead of adding it.

This conversation goes beyond tactics to focus on first principles. You will hear why creativity is becoming a competitive advantage, how human-native AI changes workflows for revenue leaders, and what strategic thinkers should focus on now as AI becomes easier to build but harder to stay ahead with.

This episode is especially relevant for GTM professionals who want clarity without hype, practical insight without heavy technical depth, and a clearer mental model for evaluating AI and agentic tools in the years ahead.

Topics covered include:

1. Why 2025 forced humans to become AI native and why that model breaks
2. What human-native AI actually means in day-to-day GTM work
3. The hidden cost and complexity of current AI tooling
4. Why data foundations still matter more than new tools
5. How creativity, category design, and strategy shape the future of AI adoption

Learn more and connect with Jared Robin:

1. Jared’s LinkedIn Profile: https://www.linkedin.com/in/jaredrobin/
2. His personal website: https://jaredrobin.com/
3. The RevGenius Website: https://www.revgenius.com/
4. The Post that kicked off this conversation: https://www.linkedin.com/posts/jaredrobin_2025-humans-need-to-be-ai-native-2026-activity-7402395343184699392-0KQR/

Subscribe for more conversations with builders, operators, and thinkers shaping the future of AI and go-to-market work.

Learn more about Agent.ai and explore practical AI agents at agent.ai.

What does AI actually look like in 2026?

In this special end-of-year Predictions episode of Prompted, Kyle James sits down with Matthew Stein to debate ten concrete predictions for where AI, agents, and go-to-market teams are headed next year.

This is not a hype episode. There are no demos and no buzzwords. Instead, Kyle and Matthew pressure test real second-order effects like:

1. Why AI onboarding will become standard practice
2. How model quality degradation and buyer fatigue collide
3. Why AI shows up directly in GTM job titles
4. What happens when personal context becomes portable
5. Why AI portfolios matter more than resumeas
6. How marketing video creation fundamentally changes
7. Why PageRank-style authority signals may return
8. The rise of zero-party data
9. Whether Anthropic beats OpenAI to an ads platform
10. Why most companies still struggle to show AI ROI

They also close with one wild bonus prediction that could reshape the entire AI landscape.

This episode is designed to spark debate.

Watch the full episode, then head to the comments and tell us:

1. What did we get right?
2. What did we miss?
3. Which prediction do you disagree with most?

This week we are flipping the script a bit and our host is playing the guest to have Kyle James share his Builder Story. Kyle's journey from product management to podcasting is a testament to the power of curiosity and the belief that anyone can become a builder. Discover how his insights can empower you to embrace AI and transform your approach to building.

Kyle shares his unique perspective on the evolving landscape of AI, emphasizing the importance of starting small and iterating along the way. "Every person, every user can become a builder. They just need to understand that they can. This stuff's not hard," he asserts, encouraging listeners to demystify AI and take the leap into creation. Through engaging stories and practical advice, Kyle highlights the role of networking and community in navigating the AI era. His insights remind us that we're still in the early innings of AI, and there's a vast potential waiting to be explored. Whether you're a seasoned developer or just starting, this episode offers valuable lessons to help you learn, think differently, and take the next step in building with agents.

Learn more and connect with Kyle James:

• Connect with Kyle on LinkedIn: https://www.linkedin.com/in/jameskm03/
• Read Kyle’s Substack: https://kylejameslearn.substack.com/
• Kyle’s Guest Prep Agent: https://agent.ai/agent/prompted-guest-prep-research
• Kyle’s Post Episode Workflow Agent: https://agent.ai/agent/942s0tehcgr6ic07

Subscribe for more Builder Stories and visit agent.ai to start building your own agents.

Join us for an inspiring episode of Prompted: Builder Stories featuring Ashna Thakkar, a trailblazer in the world of AI agents. Ashna's journey from a non-coder to an AI innovator is a testament to the power of curiosity and determination. Discover how she empowers startups with no-code AI solutions, transforming challenges into opportunities.

In this episode, Ashna shares her path from working in accelerators to becoming a key player building agentic tools, where she builds agents that support startups in branding, financial projections, and more. Her story is a reminder that you don't need to be a coder to innovate with AI. "Start small, start from somewhere and they would figure it out," she advises, highlighting the importance of delivering the first step to users. Ashna's agents are not just prompt hacks; they are research-backed tools that provide startups with clarity and direction. Tune in to learn how you can harness AI to enhance productivity and drive innovation in your startup journey.

Learn more and connect with Ashna Thakkar:

• Connect with Ashna on LinkedIn: https://www.linkedin.com/in/ashnathakkar/
• Follow Ashna’s Profile on Agent.ai: https://agent.ai/human/thakkar_ashna
• BonBillo’s Website: https://www.bonbillo.com/
• Build your Brand DNA Agent: https://agent.ai/profile/BrandDNA
• AEO Advisor Agent: https://agent.ai/profile/aeo-advisor

Subscribe for more Builder Stories and visit agent.ai to start building your own agents.