PROMPT This

In this episode, we talk with Warren Kucker about a simple but overlooked idea: companies are sitting on massive amounts of value inside their conversations and doing almost nothing with it. Warren breaks down why AI is not a feature or a product category, but a new way of computing that finally lets us work with human language at scale.

We dig into why sales coaching, forecasting, and product decisions are often based on memory, inference, and mood instead of facts. Warren explains how recording and structuring conversations can change that, turning meetings, emails, and messages into usable data. The conversation moves beyond hype and into practical starting points, including how sales leaders can begin today without waiting on IT or buying complex platforms.

If you lead a sales, product, or revenue team and feel like you are “behind” on AI, this episode will reset your thinking and give you a clear place to start.

And if you’ve recently tried an AI deployment in your business, good or bad, we want to hear about it. Visit https://www.promptthis.ai, click on "Contact" and tell us your story.

Warren Kucker is the founder of Basiq and the creator of Topiq, a sales intelligence product designed to unlock the value hidden inside customer conversations. Warren has spent more than 20 years across engineering, logistics, product, and go-to-market roles, including time inside large enterprises and as a repeat founder. His work today focuses on helping teams treat conversations as a strategic asset rather than disposable noise.

This week’s AI Challenge is about eliminating product politics and replacing opinions with evidence.

The Product Squeaky Wheel Audit helps you use AI to analyze customer conversations and build a ranked, data-backed feature backlog.

Gather inputs

Sales call transcripts

Support tickets

Customer success conversations

Feed the data into an AI tool or custom GPT.

Ask the AI to rank feature requests by:

Frequency

Revenue impact

Churn risk

Compare the AI-ranked backlog to your current roadmap.

A prioritized, evidence-based feature backlog driven by real customer demand, not the loudest voice in the room.

Full step-by-step instructions: https://www.promptthis.ai/blog/how-to-run-a-product-squeaky-wheel-audit-with-ai 

Join the Prompt This community: https://www.promptthis.ai 

Share your AI deployment story: https://www.promptthis.ai/contact 

00:00 – Welcome to Prompt This 
AI intro and framing the show’s focus on practical AI for business leaders.

01:50 – Meet Warren Kucker 
Warren’s background across logistics, procurement, startups, and sales.

04:35 – Everyone Thinks They’re Behind on AI 
Why feeling behind in AI actually means the market is still early.

05:14 – The Real Power of LLMs 
Extracting insight from unstructured data and improving writing at scale.

07:10 – Conversations as a Business Asset 
Why sales calls and meetings are massively underutilized.

08:47 – Product Management and the Squeaky Wheel Problem 
How AI can replace opinion-driven roadmaps with customer evidence.

10:44 – Why Transcripts Alone Aren’t Enough 
The difference between flat files and context-aware, searchable data.

11:41 – Vector Databases Explained Simply 
How AI understands meaning, not just keywords.

13:16 – Sales vs Product Use Cases 
Where conversational data creates the most leverage across teams.

14:20 – Where to Start if You’re Doing Nothing 
A low-friction approach using custom GPTs and existing transcripts.

16:04 – Better Forecasting Through Evidence 
Separating what prospects actually said from rep assumptions.

17:46 – Avoiding Over-Engineering AI 
Why accuracy fears are often misplaced and how to keep it simple.

19:45 – AI as a Coaching Multiplier 
Using AI to reduce repetition and elevate coaching conversations.

20:43 – Tools Warren Actually Uses 
Lessons learned from tools like Clay and hands-on experimentation.

24:31 – Advice for Business Leaders Starting With AI 
Why leaders should invest more in people, not less, as productivity increases.

26:21 – This Week’s AI Challenge 
Running a Product Squeaky Wheel Audit to depoliticize roadmaps.

27:40 – Where to Follow Warren 
Continuing the conversation on LinkedIn.

Strategy failure rarely starts with bad ideas. It starts with bad translation.

In this episode, Clint and Greg sit down with Brooks Busch to unpack why strategy planning and execution remain one of the most consistent failure points inside growing companies. From thousand-slide decks to disconnected OKRs, Brooks explains how most organizations confuse documenting strategy with actually running the business.

The conversation reframes AI as a management discipline, not a productivity trick. Instead of asking how AI can save time, Brooks challenges leaders to ask how AI can improve decision quality, surface hidden risks, and preserve institutional knowledge when leaders turn over.

You will hear why the best strategy leaders act as facilitators, not geniuses with answers, how different operating frameworks fit different company stages, and why execution breaks down long before the quarterly review. The episode also explores how AI can democratize world-class strategic thinking that was once only available through expensive consultants.

If you lead a team, own a number, or sit in executive meetings wondering why alignment feels fragile, this episode gives you a clearer lens on what to fix first.

This conversation is part of our Leadership Series, exploring clarity‑first leadership in the age of AI. Explore the full series here → https://www.promptthis.ai/prompt-this-podcast-leadership-series 

Brooks Busch is the CEO and co-founder of Elate, an AI-powered platform built to help companies define strategy, pressure test decisions, and track execution across the business. Before founding Elate, Brooks led strategy and go-to-market efforts at companies ranging from early-stage startups to global enterprises. His work focuses on closing the long-standing gap between executive vision and day-to-day execution, using AI as a strategic thought partner rather than just an automation layer.

This week’s AI Challenge builds directly on the conversation with Brooks.

Your assignment: 

Pick one active company priority or initiative.

Use an AI tool to pressure test it against your company strategy.

Rewrite that priority from the perspective of at least two other roles in your organization.

Compare the outputs and look for misalignment, gaps, or hidden risks.

The goal is to see whether your strategy actually travels through the organization clearly or if it breaks down as it moves from leadership to execution.

👉 Full step-by-step instructions: https://www.promptthis.ai/blog/how-to-use-ai-to-check-if-your-team-is-aligned-on-priorities 

👉 Share your experience or results: https://www.promptthis.ai/contact

00:00 – Welcome to Prompt This 
Why strategy and execution are where companies stumble most.

01:55 – Meet Brooks Busch and Elate 
What drove Brooks to build an AI-first strategy platform.

03:30 – The Strategy Disconnect 
Why long slide decks and static plans fail in real organizations.

06:10 – The Real Role of a Strategy Leader 
Why asking the right questions matters more than having answers.

08:45 – Defining “Strategy” Across Leadership Teams 
How misaligned definitions derail planning before execution starts.

11:00 – AI as a Strategic Thought Partner 
Using AI to pressure test assumptions and expose trade-offs.

15:00 – The Strategy Vault Concept 
Preserving institutional knowledge and past decisions with AI.

19:40 – Frameworks That Actually Work 
EOS, OKRs, and why commitment matters more than methodology.

22:30 – Why Execution Fails 
The banana-phone problem and how strategy breaks down at scale.

26:00 – Clarity as a Force Multiplier 
How shared priorities help teams say no to the wrong work.

28:20 – Where Leaders Should Start with AI 
Why understanding risk comes before buying tools.

31:30 – Mining Customer Conversations with AI 
Turning calls into real strategic input.

33:00 – Favorite AI Tools in Practice 
How Brooks uses AI across product, sales, and personal work.

38:30 – One Piece of Advice for Leaders 
Why admitting uncertainty is the best starting point with AI.

39:20 – This Week’s AI Challenge 
Pressure testing priorities for alignment.

This episode explores a topic most business leaders are not thinking about yet, but probably should be.

AI systems are built on content, and a huge portion of that content comes from books. In this conversation, we dig into what that means for authors, publishers, and everyday users of AI tools like ChatGPT, Claude, and Gemini.

Julie explains how large language models became dramatically more capable once they began ingesting high-quality book content, often without permission. She walks through the legal and ethical tensions this created, including why the rules in Europe are very different from those in the United States.

We also unpack what AI can and cannot reliably tell you about a book, why you may not be getting the actual methodology you think you are, and how the industry is moving from the “scraping era” into a new phase of licensed and traceable content.

Beyond rights and regulation, the episode covers how authors can responsibly use AI as a writing and marketing partner, why originality matters more than ever, and how smaller, more focused books may be the future.

If you care about content, creativity, trust in AI outputs, or where business knowledge actually comes from, this is a conversation that will reshape how you think about AI-powered tools.

Julie Trelstad is a 30-year publishing industry veteran and the Head of U.S. Publishing at AMLIT.ai. She has worked across nearly every corner of modern publishing, from major publishing houses to global digital distribution, and now sits at the center of one of the most urgent conversations in AI: how authors’ work is used, protected, and compensated in the age of large language models. Julie is a leading voice on digital rights, AI training data, and the future of content ownership for authors and publishers.

This week’s AI Challenge is inspired directly by the conversation with Julie.

Challenge: Learn how to trust but verify AI outputs.

You will practice:

Testing AI answers against original source material

Understanding where AI summaries may break down

Building a habit of validating AI-generated insights before using them in your work

Get the full step-by-step instructions here:

👉 https://www.promptthis.ai/blog/why-ai-hallucinations-happen-and-how-to-prevent-them

If you have an AI story or business use case to share and want to be on the show, head to the Contact Us page at promptthis.ai and let us know.

00:00 – Introduction 
Why this episode matters and how AI intersects with publishing and content ownership.

02:00 – Julie’s Path Into Publishing and Digital Rights 
From early desktop publishing to ebooks, audiobooks, and now AI-era rights advocacy.

04:30 – How AI Models “Ate” Books 
Why large language models improved so quickly and why authors are pushing back.

06:45 – Lawsuits, Settlements, and the Scraping Era 
What recent legal cases reveal about how AI companies sourced content.

08:15 – Digital Fingerprints and the ISCC 
How content identification works and why it matters for protecting authors.

09:55 – U.S. vs. Europe: Two Very Different Rulebooks 
Why European authors have stronger protections and what that means globally.

11:30 – Can You Trust AI Answers About Books? 
Why AI summaries may not reflect the original work or its intent.

13:20 – Using AI With Books You Own 
What is allowed, what is risky, and how personal use fits into the picture.

15:10 – The Future of AI and Specialized Models 
Why smaller, trusted models may outperform general-purpose LLMs.

17:00 – Accessibility, Learning Differences, and Publishing Gaps 
How AI could improve access for readers, and where publishing has fallen behind.

20:50 – Predictions for Authors and the Industry 
Where rights, discovery, and compensation may be headed next.

22:30 – Writing in the Age of AI Slop 
How authors can use AI without losing originality or voice.

24:30 – Practical AI Tools for Writers and Creators 
A rundown of tools that help with research, editing, and organization.

27:30 – Should Business Leaders Write Shorter Books? 
Why focused, problem-driven books may outperform traditional long formats.

31:15 – When Authors Should Engage with AMLIT 
What happens after publication and how rights protection begins.

34:00 – This Week’s AI Challenge 
How to build trust into your AI workflows.

35:30 – Where to Learn More 
How to connect with Julie and continue the conversation.

This episode of PROMPT This is a practical master class on how AI is actually being used inside modern go-to-market teams.

Emily Maxie breaks down what it means to be a Chief Growth Officer today, where sales and marketing are no longer separate functions and AI is not a side experiment. She explains why most AI content strategies fail, how “AI slop” has flooded the market, and why experience, expertise, authority, and trust still matter more than output volume.

The conversation goes deep into execution. Emily shares how she personally built and deployed 28 custom GPTs, how she tracks real ROI in hours and dollars saved, and how AI enables her team to move faster while uncovering insights they could not access before. From AI-powered competitive intelligence inside Slack to ChatGPT acting as a virtual focus group, this episode is packed with real examples instead of hype.

If you are a sales, marketing, or revenue leader trying to figure out where AI fits and how to start without getting overwhelmed, this episode provides a clear, grounded path forward.

This episode is part of our Modern GTM Series, where operators share how AI is reshaping sales, marketing, and strategy. Explore the full series here → https://www.promptthis.ai/PROMPT-This-Podcast-GTM-Series

Emily Maxie is the Chief Growth Officer at Firm360, an accounting practice management platform built specifically for accounting firms. She has spent her career as a revenue-oriented marketer, moving from head of marketing and CMO roles into full ownership of sales and marketing as a single growth function.

Emily is also a respected voice in the B2B SaaS community for her hands-on approach to AI adoption. She is known for challenging the idea that more content automatically drives growth, and for showing how AI only delivers results when it is tightly aligned with go-to-market strategy. In this episode, she shares real examples from inside her own team, including how she has deployed nearly 30 custom GPTs across sales and marketing.
 

 Build your own AI focus group inside ChatGPT.

Instead of guessing what your buyers want or paying for expensive focus groups, create a custom GPT that represents your ideal customer profiles. Use it to test messaging, campaign ideas, positioning, and even swag concepts before you go to market.

Get started here:
  https://www.promptthis.ai/blog/how-to-create-an-ai-focus-group-in-chatgpt

Explore past challenges and tools:
  https://www.promptthis.ai/blog 

If you have an AI story to share and want to be on the show, visit https://www.promptthis.ai and use the Contact Us form.

00:00 – Welcome to Prompt This 
The hosts set the tone for a practical conversation on AI and go-to-market execution.

01:38 – Meet Emily Maxie 
Emily shares her background and path to becoming Chief Growth Officer at Firm360.

03:45 – Why AI Literacy Is No Longer Optional 
How Emily recognized the AI shift early and decided to lean in rather than fall behind.

05:54 – Sales AI Myths and Misconceptions 
Why AI is not replacing people and where human judgment still matters most.

08:45 – Why More Content Does Not Equal More Growth 
The rise of AI slop and why unique perspective is the real differentiator.

10:43 – What an AI-First Go-To-Market Team Looks Like 
Fewer people, more leverage, and why Emily invests 10 percent of her team’s time in AI learning.

13:30 – Measuring AI ROI in Real Terms 
How Emily tracks time saved, usage, and dollar impact across custom GPTs.

15:20 – ChatGPT as a Focus Group 
Using buyer personas to simulate customer feedback without expensive research.

17:15 – Why ChatGPT Was the Starting Point 
Tool choice, fluency, and why commitment matters more than platform loyalty.

18:45 – From Meal Planning to Revenue Strategy 
Why starting with personal use cases accelerates business adoption.

19:40 – Inside the 28 Custom GPTs 
Examples including competitive intelligence, product knowledge, and campaign planning.

23:00 – Build vs Buy Decisions 
Where custom GPTs make sense and where purpose-built tools win.

25:00 – Advice for CROs and Revenue Leaders 
How to start, what to build first, and why tracking ROI early matters.

28:30 – AI Beyond Work 
Trip planning, home remodeling, transcription, and everyday AI use.

32:50 – This Week’s AI Challenge 
Build your own AI focus group based on your ICP.

34:00 – Where to Find Emily 
Connecting with Emily on LinkedIn and learning more about Firm360.

AI adoption is not slow. Leadership clarity is.

In this episode, Ken Roden challenges the popular narrative that employees are resisting AI. Based on his research and real-world conversations, the reality is very different. Most employees are already using AI. The real bottleneck is trust in leadership and confidence in how AI fits into the work.

Ken explains why many AI pilots fail, not because of tools, but because leaders skip the hard work of vision, goal-setting, and workflow design. He introduces practical models for rolling out AI without burning out teams, including the “AI sandwich” approach that keeps humans accountable while using AI where it performs best.

The conversation also gets tactical. Ken breaks down where AI is actually delivering value today, why boring use cases outperform flashy ones, and how operators can use AI to amplify content, prep faster, and reduce friction without replacing human judgment.

This episode is a grounded, operator-first look at how to move from AI curiosity to AI confidence in 2026.

Ken Roden is the Corporate Vice President of Go-To-Market and Delivery at Diversified, where he works at the intersection of revenue strategy, execution, and emerging technology. He is also the co-host of the FutureCraft GTM podcast and a doctoral candidate studying AI and leadership. Ken brings a rare mix of academic research and hands-on operating experience, with a clear focus on what actually scales inside real organizations.

This week’s AI Challenge is inspired directly by Ken’s playbook: create your AI "work twin."

Your task is to create a basic digital work twin using a custom GPT in ChatGPT. The goal is to build a version of “you” that can help with prep, decision-making, and communication when you're not around.

Follow the instructions detailed in this blog article:
  https://www.promptthis.ai/blog/how-to-build-your-work-twin-in-chatgpt

 
Community resources 

Podcast and articles: https://www.promptthis.ai 

Interested in being a guest? https://www.promptthis.ai/contact

00:00 – Welcome to Prompt This 
Setting the tone for a hype-free, practical AI conversation.

01:38 – Meet Ken Roden 
Ken’s background in GTM leadership, podcasting, and doctoral research.

03:30 – The Real AI Adoption Problem 
Why employees are not afraid of AI, but skeptical of leadership vision.

05:30 – AI Fatigue Is Real 
How tool overload and bad prompting exhaust teams.

08:45 – Everyone Uses AI, Few Scale It 
The difference between experimenting and driving real business impact.

10:15 – Why AI Pilots Fail 
Implementation breakdowns, not technology failures.

12:45 – Training That Actually Works 
Goal-driven, team-designed AI workflows versus top-down rollouts.

15:45 – The AI Sandwich Model 
Keeping humans accountable while letting AI do the heavy lifting.

18:00 – The Most Effective AI Use Cases 
Why research, prep, cleanup, and synthesis outperform “sexy” automation.

20:30 – AI for Podcasting and Content 
How Ken uses AI to turn one episode into many assets.

23:30 – Favorite AI Tools 
Opus Pro, Claude, Relevance AI, and emerging content tools.

25:50 – Where Leaders Should Start 
Clarifying goals, constraints, and bringing the team into the conversation.

27:20 – Counterintuitive Prompts and Digital Twins 
Using AI to challenge thinking and scale leadership presence.

30:05 – AI Challenge: Build Your Digital Twin 
A practical way to deepen trust and confidence with AI.

31:00 – Where to Find Ken 
Connecting on LinkedIn and following the FutureCraft GTM podcast.

This episode is a straight talk, no-spin review of AI in 2025.

These past twelve months were the year AI got real, not world-ending, not world-saving, just deeply practical. In this PROMPT This year-end recap, Greg and Clint look back at the hype cycles, the misses, the breakthroughs, and the many weekends they sacrificed building a podcast powered almost entirely by AI. From agentic AI and AGI predictions to synthetic media, job fears, and the 90-day learning curve that changed everything, they break down what actually mattered in AI this year.

This episode is part of the PROMPT This Welcome Series, a curated starting point for new listeners. Explore the full series here →  https://www.promptthis.ai/prompt-this-podcast-start-here-series

00:00 – What 2025 really felt like

01:00 – Why the podcast almost did not happen

02:00 – Falling for the AI hype early

03:30 – Deciding to learn AI by doing

04:00 – Using AI to build a podcast with two people

05:30 – The 90-day learning curve that changed everything

06:45 – Learning how AI writes and how to control it

07:45 – Using AI to improve prompts and thinking

08:45 – Was 2025 the year AI got real

09:15 – Agentic AI, AGI, and inflated promises

10:45 – Why most AI business projects failed

11:30 – ChatGPT-5 hype versus reality

12:45 – AI as software, not science fiction

14:00 – Is AI really taking jobs

15:30 – Layoffs, stimulus money, and convenient narratives

18:00 – Synthetic media and content trust issues

20:00 – AI in creative work versus real expertise

21:30 – Marketing noise and standing out

23:00 – Sales outreach at scale and buyer overload

24:45 – Predictions for AI in 2026

26:30 – What happens to SDR and entry-level roles

28:00 – College grads, fear, and reality

31:00 – Personal takeaways from learning AI

32:30 – Final thoughts on skills that will matter next year

33:00 – Closing and what comes next

In this Christmas special, Prompt This takes a playful but pointed look at real-world AI problems through a holiday lens. With Clint and Greg “out of office,” AI Clint and AI Greg man the Elf Tech support hotline, fielding panicked calls from the North Pole.

What sounds like seasonal comedy quickly turns into serious business lessons. Double-booked reindeer expose the risks of dirty data. An inventory bot stuck in 1997 highlights what happens when models are never retrained. Even Santa himself calls in, looking for help predicting next year’s hottest toy and avoiding another expensive misfire.

The takeaway is clear. AI does not fail randomly. It fails predictably when leaders neglect data quality, model updates, and basic governance. This episode wraps those lessons in humor, but the message is sharp. If you do not actively manage your AI, it will quietly manage you into bad decisions.

This episode features a holiday takeover from AI Clint and AI Greg, the synthetic stand-ins for your regular hosts. While the real-world versions are off enjoying some well-earned downtime, their AI counterparts step in to keep business leaders sharp through the holidays.

00:00 – Holiday cold open and show setup

00:10 – AI Announcer introduces the Christmas takeover

01:04 – AI Clint and AI Greg take over Elf Tech support

01:28 – Reindeer scheduling disaster and the cost of dirty data

02:09 – Inventory bot stuck in 1997 and why retraining matters

02:52 – Santa calls in on predictive analytics and forecasting demand

03:38 – Core lessons for business leaders using AI

04:05 – Holiday sign-off and where to find more Prompt This content

This episode changes up the usual format. Instead of long interviews, Clint and Greg host the first ever Prompt This Rapid Fire Smackdown.

The rules are simple. Every guest previously answered the same five AI-related questions. Clint and Greg draft teams, go head to head, and let ChatGPT decide which answer wins each round.

What follows is part debate, part comedy, and part truth serum for the AI industry. The conversation cuts through hype and surfaces how experienced operators actually think about AI adoption, buzzwords, onboarding, and real use cases.

The result is fast, opinionated, and surprisingly revealing. You hear where leaders agree, where they clash, and where AI itself struggles to be decisive.

This episode is part of the PROMPT This Welcome Series, a curated starting point for new listeners. Explore the full series here →  https://www.promptthis.ai/prompt-this-podcast-start-here-series

This episode features a stacked lineup of returning Prompt This guests from previous episodes spanning sales, marketing, product, healthcare, and technology. The main event is hosted by Clint and Greg, who step into the ring as team captains with AI is the judge.

Across five rapid fire questions, insights come from leaders including Margaret Freitag, Deepak Deolalikar, Ben Taft, Jason Green, Mark Bautista, Charles Hicks, Ganesh Iyer, Christian Wettre, Gabe Larsen, John Sasson, and Chris Angus. Each brings a distinct, experience-driven take on how AI is actually being used, misused, or misunderstood inside real organizations.

This episode’s AI Challenge is timely, practical, and immediately useful.

Use ChatGPT to scan your email for purchase receipts, identify items you recently bought, and run price comparisons across other retailers to see if you overpaid and should return or rebuy items.

It is a simple example of using AI as a personal operations assistant, not a science project. It saves money, reduces friction, and proves that useful AI does not need to be complicated.

Visit https://www.promptthis.ai

Join the Prompt This community

Share how you used AI to save time or money this week

00:00 – Welcome to the Smackdown 
High energy intro sets the tone for a competitive, no fluff episode.

01:00 – The Rules and the Draft 
Clint and Greg explain the format and draft their teams from past guests.

04:47 – Round 1: Most Underrated AI Use Case 
Healthcare data analysis versus AI skepticism. ChatGPT makes its first call.

06:46 – Round 2: The Biggest AI Mistake Companies Make 
AI for AI’s sake versus understanding the problem first. Accents may influence judgment.

08:59 – Round 3: The Most Annoying Tech Buzzword 
Personalization, GPT, AI agents, and cognitive transformation all take hits.

12:45 – Round 4: The AI Tool You Wish Existed 
Sales commission visibility versus daily AI-powered content summarization.

14:29 – Round 5: Getting New Hires Started With AI 
Structured onboarding plans clash with a blunt reality check.

17:45 – The Winner Is Declared 
Bragging rights are claimed and remembered.

18:00 – AI Challenge and Closing 
A practical holiday use case for AI and a wrap on the Smackdown format.

Deepak Deolalikar is the co-founder of Ziply AI, where he leads strategy for a platform built to help marketing teams create content at scale and stay visible within AI search. He combines deep technical curiosity with a historian’s view of innovation, drawing clear parallels between today’s AI wave and the early commercial internet. His work focuses on helping B2B marketing teams stand out when AI systems become the first stop for product research.

In this conversation, Deepak explains why creativity remains the marketer’s superpower even as AI accelerates content production. He details why AI search optimization is becoming as important as traditional SEO and why B2B buyers are shifting their discovery work away from Google and toward tools like ChatGPT, Gemini and Copilot.

The discussion explores how fragmented marketing workflows have become, why teams don’t want seven different tools stitched together and how Ziply AI aims to unify content creation, topic planning and distribution so companies can increase brand visibility without increasing headcount.

The episode also looks at how AI is changing software development, how job categories may evolve and how society could benefit when AI reduces information asymmetry in areas like medicine, legal issues and financial billing. Deepak closes with the AI tools he uses in daily life, including WhisperFlow, NotebookLM, and emerging creative applications for music and slides.

This episode is part of our Modern GTM Series, where operators share how AI is reshaping sales, marketing, and strategy. Explore the full series here → https://www.promptthis.ai/PROMPT-This-Podcast-GTM-Series

This week’s AI Challenge invites you to try Ziply AI to measure how well your brand shows up inside today’s major AI search engines. Learn where you stand, how you compare to competitors and what actions can increase your visibility in AI-generated recommendations.

Get the full step-by-step guide and share your progress in our community:
👉 promptthis.ai/blog/how-to-measure-your-brand-ai-visibility 

Got your own AI business story? Reach out at promptthis.ai/contact to learn about becoming our next guest.

00:00 Introduction and setup for the conversation on AI’s impact on marketing.

01:57 Deepak’s background and why he views today’s AI wave through the lens of past innovation cycles.

03:34 Why branding is harder in an AI-saturated market and why creativity still differentiates companies.

06:08 What Ziply AI does and why marketing teams struggle with content, scale and AI search visibility.

07:29 The problem with scattered marketing tools and the need for unified workflows.

09:45 What AI search actually is and why B2B buyers are moving from Google to ChatGPT and Gemini.

11:53 How AI systems decide what products to recommend and why authority signals matter.

13:15 Why marketers can’t “game the system” the old way and what new strategies matter.

14:02 How AI changes discovery, planning and amplification for modern marketing teams.

15:36 How building software has changed in the AI era and why MVP cycles move faster than ever.

17:10 The “cats and dogs” phase of AI and the patterns repeating from early internet adoption.

18:20 Why marketers remain essential for storytelling and framing real business value.

19:31 A broader look at how AI may transform systems, processes and organizational design.

21:37 The future of jobs and why roles will shift rather than disappear.

22:54 Why speed differentiates this AI innovation cycle from past technology waves.

24:06 How AI might reshape institutions, research, medical billing and information access.

27:16 Examples of AI reducing information asymmetry in medicine and home repair.

28:13 Deepak’s favorite AI tools: WhisperFlow, NotebookLM, Gamma and emerging creative applications.

32:41 This week’s AI Challenge: testing your brand’s presence in AI search.

33:37 Closing thoughts and where to find Deepak and Ziply AI.

In this episode, Clint and Greg sit down with Chris Angus to explore how 8x8, a leading cloud-based communications provider, is integrating AI into every layer of its business—from customer conversations to employee training and product innovation. Chris explains how AI is changing the economics of communication through consumption-based pricing and smarter conversation analytics, while emphasizing that successful AI adoption starts small—with trusted data.

He also pulls back the curtain on 8x8’s internal AI council, their weekly AI training sessions, and the orchestration tools that let employees tap into multiple large language models securely. The conversation closes on a personal note as Chris shares how AI even helps him train for his first marathon—proof that AI’s usefulness extends beyond the office.

For business leaders in sales, marketing, or operations, this episode is a playbook on practical AI implementation—what to automate, what to measure, and where human judgment still matters most.

Chris Angus is the Vice President of CPaaS (Communications Platform as a Service) at 8x8, where he leads global strategy for cloud communications and customer experience innovation. With more than 20 years in the communications industry, Chris combines sharp business insight with deep technical expertise. Known for his straight talk and humor, he brings a no-nonsense perspective to how AI is transforming customer interactions, training, and data-driven decision-making across modern organizations.

Inspired by Chris’s marathon story, this week’s AI Challenge puts ChatGPT to work for your personal health. Open ChatGPT and prompt it to create a customized training plan for your next fitness goal—whether it’s a 5K, yoga practice, or daily walk routine. Then, ask it to adjust based on your energy levels, diet, and schedule.

Get the full step-by-step guide and share your progress in our community:
👉 promptthis.ai/blog/build-your-own-smart-workout-coach

Got your own AI business story? Reach out at www.promptthis.ai/contact.

00:00 – Meet your hosts: Greg and Clint set up today’s theme
01:55 – Guest intro: Chris Angus, VP of CPaaS at 8x8
03:12 – The fix-it guy: Why every company needs a “Chris”
04:30 – How AI is rewriting customer communications
05:51 – Consumption-based models and AI in CX
07:54 – Data is the new starting point: Why clean data wins
09:35 – Inside 8x8’s AI Council and weekly training sessions
11:51 – Gamified learning and AI-driven skill simulations
13:49 – Building an internal AI stack across multiple LLMs
15:25 – Tools that blew Chris away (and why)
17:35 – AI-assisted product prototypes and coding speed
19:09 – Turning conversation data into business intelligence
21:15 – How to start with AI: sentiment and call analysis
22:32 – Coaching, feedback, and finding low-risk entry points
24:07 – Don’t just throw AI at it: solving real business problems
25:53 – Using AI personally—training for a marathon
28:31 – This week’s AI Challenge: build your AI fitness plan
29:29 – How to connect with Chris Angus
30:11 – Closing thoughts and next steps