Episodes
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AI can now write code faster than any human alive, and most of the time it's more than good enough. That's the magic powering the entire vibe coding wave. But there's a category of software where "most of the time" just doesn't cut it: the code running a fighter jet, a power grid, an autonomous vehicle, a piece of medical hardware. When that code is wrong, the consequences aren't a bug. They're a recall, an accident, a national security incident.
In this episode of Talking AI, Matt Paige sits down with Ryan Aytay, the former CEO of Tableau and now President and COO of CodeMetal, which just raised $125 million to close that gap. Ryan explains what he calls "the last mile" for mission-critical industries: the verification, validation, and provability layer that sits between AI-generated code and the systems where failure is catastrophic.
The conversation covers why 99% correct is still failure in defense and autonomous systems, how CodeMetal translated a million lines of legacy C++ to Rust in weeks (like rewiring a city without the power going out), and why the real problem isn't code generation, it's behavioral assurance at scale. Ryan also shares how he's using AI to run a sub-100-person startup, why the biggest risk for any company right now is doing nothing, and what an operator who lived through 19 years of per-seat SaaS at Salesforce thinks about outcomes-based pricing in the age of AI.
In this episode, you'll hear about:
Why every AI coding tool says "almost, but not quite" when asked about production-ready guarantees. The difference between code generation and behavioral assurance at scale. How CodeMetal translates legacy C++ to Rust with provable correctness in weeks, not years. The concept of V&V (verification and validation) and why it's the missing layer in AI code gen. Real use cases in defense, autonomous vehicles, and simulation environments. Why hardware in the loop matters as much as human in the loop. How a sub-100-person company uses AI across M&A, recruiting, marketing, and operations. Ryan's take on token economics, outcomes-based pricing, and the SaaS evolution. Why the biggest risk is inaction, not AI errors. What attracted Ryan to CodeMetal after 19 years at Salesforce and leading Tableau.
Key Moments
02:47 — From Tableau fanboy to the trust gap in AI03:52 — Why Ryan left Salesforce/Tableau for CodeMetal05:55 — "Is it safe for the things I depend on every day?"06:45 — 99% correct is still failure for mission-critical systems08:20 — The sycophantic nature of AI: "Heck yeah, I can do that"09:22 — It's not a coding problem, it's a behavioral problem at scale11:22 — Human in the loop isn't enough: hardware in the loop14:30 — What is fuzzing? Formal methods explained in plain English16:02 — How a sub-100-person company leverages AI across every function18:19 — The Shopify mandate: using AI reflexively21:33 — Rewiring the city without the power going out: the million-line translation24:38 — Defense use cases: drones, autonomous vehicles, and simulation26:28 — "Prove is even a stronger word than guarantee"28:32 — Accountability and the coming wave of AI insurance32:54 — Token usage, the Uber CTO's blown budget, and outcomes-based pricing36:26 — SaaS isn't dead, it's evolving: Ryan's Salesforce/Tableau perspective40:08 — The biggest risk is doing nothing42:07 — Where to find CodeMetal (and they're hiring)Key Links
CodeMetalConnect with Ryan on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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Tiago Azevedo is the CIO of OutSystems, one of the largest low-code development platforms in the world. In this episode, he sits down with Matt Paige to talk about what it actually looks like to lead through the chaos of enterprise AI adoption, why the old playbook of re-architecting legacy systems is dead, and how his team is building agentic solutions that bypass the mess instead of trying to fix it.
Tiago shares his philosophy that saying no to AI is the easy path, and that the real job of a CIO is to open the doors while learning to manage the risk. He breaks down why everything that isn't agentic is already legacy work, how his team uses AI to figure out where AI fits, and why companies should stop adding more fields and screens to broken systems and start building agents that do the work.
The conversation also covers OutSystems' latest launch, OutSystems Mentor, which brings natural language vibe coding into the platform so users can describe what they want and build it conversationally. Tiago explains the architecture behind it, including how the platform combines probabilistic AI with deterministic code generation, one-click deployment, and built-in enterprise integrations.
The episode closes with Tiago's advice for overwhelmed CIOs: identify the biggest problem your company needs to solve, feed it to an LLM with as much context as possible, and iterate from there. Think big, start small, scale fast.
In this episode, you'll hear about:
How Tiago approaches change management and AI adoption across a large organization. Why he believes everything non-agentic is already legacy. The "agents over apps" philosophy and what it means for enterprise systems. How OutSystems built Deal Mate, a team of agents that prepares sales reps for meetings. Why OutSystems achieved 40% automation in customer service after AI, up from under 10% before. The launch of OutSystems Mentor and what natural language app-building looks like inside the platform. The gap between a wow demo and enterprise-grade production. Why CIOs should try everything but be careful with divergence. Tiago's "think big, start small, scale fast" framework for AI transformation.
Key Moments:
01:17 — Tiago on the pace of change and what makes this moment unlike anything before06:20 — "Saying no is the easiest solution — managing the risk is the hard part"07:49 — Bypass the mess: why agents fill the gaps legacy modernization never could09:10 — "Everything that is not agentic is literally legacy work"10:15 — Use AI to figure out where AI fits: the meta approach to use cases11:30 — Deal Mate: the team of agents that prepares sales reps for meetings15:07 — "We were adding more fields to Salesforce when we should've been building agents"16:25 — Mark Zuckerberg building an agent to do his job17:23 — OutSystems' 20-year journey from visual development to agentic systems engineering19:58 — The deterministic magic behind OutSystems Mentor22:04 — One platform: infrastructure, integrations, UIs, agent skills, and deployment30:19 — 40% customer service automation with AI (vs. under 10% before)33:48 — How AI is augmenting, not replacing, engineering and product roles39:41 — "That's 2008 and this is 2026 — you have to change"41:27 — The wow factor vs. enterprise reality: why prototyping isn't the hard part46:17 — Tiago's advice: identify the biggest problem, feed it to an LLM, build the solution48:42 — "Think big, start small, scale fast"Key Links:
OutSystemsConnect with Tiago on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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Missing episodes?
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Host Matt Paige records a special Talking AI episode live from Google I/O with AI creators Kushank Aggarwal, Marcin Teodoru, and Jay Enrique, discussing Google’s biggest announcements and what will matter in real use.
They argue Google’s edge is distribution—bringing AI to existing Search users—positioning Gemini as an intelligence layer across products like Search, YouTube, Gmail, Docs, Chrome, Android, and shopping.
They highlight rapid growth in token usage, Search’s new AI mode and generative UI/dashboard experiences, and YouTube features that jump to relevant video moments, potentially improving discoverability for creators and local businesses.
They debate Gemini Spark’s agentic approach, prepackaged agents like Daily Brief, and enterprise “agent garden” concepts, then cover Omni as a broader “world model” play, Pix/NanoBanana-style editing and image workflow improvements, and a glasses demo featuring translation, Gemini Live, and impressive audio.
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Key Moments:
00:54 Gemini Everywhere Strategy02:09 Search Gets Agentic03:47 Generative UIs for All06:48 YouTube as Action Engine08:21 Gemini Spark Agents10:10 Adoption and Standards13:55 Omni World Model17:13 Pix Editing Workflow19:06 Omni Platform Take19:53 Fire Round Highlights22:05 Glasses Demo Reactions24:02 Wrap Up and Where to Follow--
Key Links:
DigitalSamaritanConnect with Kushank on LinkedInRoboNuggetsConnect with Jay on LinkedInAI BuildersConnect with Marcin on LinkedIn
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Matt Paige and Thomas Schlossmacher discuss a shift from typing to talking as AI makes voice dictation accurate enough to use without constant corrections, arguing speech is faster and more natural and helps maintain thought flow when interacting with AI tools.
Schlossmacher is building Resonant, a Mac voice dictation tool designed to run on-device so nothing goes to the cloud, motivated by privacy concerns and data retention/training practices of cloud-based alternatives like Whisper Flow.
They explore the tradeoffs of local vs server inference, noting current consumer hardware can struggle to run full speech-to-text plus LLM post-processing fast enough, but expects improvement in 1–2 years.
Schlossmacher explains differentiators like taste/brand, his design workflow using inspiration sources and ShadCN, his path into AI-assisted building, his stack (Claude Code, Next.js, Convex, Vercel), and a vision for proactive, context-aware agent features and potential open-sourcing and enterprise/self-hosted options, with beta/free access at https://www.onresonant.com/.
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Key Moments:
01:47 Making the Switch05:00 Why Build Resonant08:25 Local LLM Reality Check11:23 Standing Out in AI14:52 Designing Resonant Brand19:16 Building Taste Systems22:25 Learning to Build Apps23:43 Early Computer Curiosity25:41 Entrepreneur First and AI Shift27:49 Teaching Yourself with Agents29:05 Tooling and Tech Stack31:05 Resonant Product Vision35:14 Proactive Voice Workflows36:42 Beta Launch and Monetization41:15 Where to Try Resonant--
Key Links:
ResonantConnect with Thomas on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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Matt Paige and EdTech veteran Todd Brekhus discuss how generative AI, like past technologies (calculators, the internet, Google), is being used by students to shortcut homework and why the key issue is redesigning education to deepen learning rather than trying to stop AI use.
Brekhus contrasts the internet’s access-to-information shift with generative AI’s content-creation shift, arguing educators were caught flat-footed and need awareness, tools, and curriculum changes.
He emphasizes empowering teachers first through personalization driven by frequent, granular measurement and data that informs instruction, moving beyond latent end-of-year testing toward mastery-based feedback loops and more embedded, contextual assessment.
They explore maker-style, collaborative learning enabled by AI and “vibe coding.” Brekhus describes Renaissance’s internal AI upskilling and Renaissance Intelligence, which unifies data from 20 acquisitions into an AWS/Snowflake backbone to deliver a unified UX, recommendations, and trusted, standards-aligned, classroom-personalized instruction.
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Key Moments:
01:23 Homework Shortcut Reality04:21 Kids Adopt First05:27 Internet Era Lessons12:00 myON Unlimited Reading16:05 Personalization Starts Teachers21:53 Trusted Data And Measurement26:07 Mastery Model With AI Assist27:44 AI Should Challenge Learners28:42 Rethinking Assessment Loops31:21 Data Driven Skill Insights33:50 Connecting Learning to Purpose36:02 Vibe Coding for Teachers37:29 Future School Makerspaces40:33 Balancing Creation and Effort41:39 Renaissance AI Transformation44:40 Agentic Dev and Legacy Systems48:21 Renaissance Intelligence Platform--
Key Links:
Renaissance LearningConnect with Todd on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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The episode discusses market panic around Anthropic’s rapid releases and whether disruption is rational or hype, then shifts to what companies are actually doing with AI.
Dan Priest, PwC’s Chief AI Officer, explains that security architectures for AI are maturing and that conversations have moved from CTO/CIOs to CEOs under board and investor pressure to show demonstrable AI investment and ROI.
He argues ROI is elusive because firms overfocus on tech (20%) instead of business transformation, process reimagination, and change management (80%), and recommends a “lead/lag/exit” strategy plus a two-track approach: top-down reimagination in priority areas and bottom-up experimentation for adoption.
Priest covers tool selection via “model gardens,” agent design emphasizing quality over agent counts, human accountability, current limits like task-length drift, productivity impacts, and why ERP/SaaS remain important but their footprints and agent layers will evolve.
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Key Moments:
01:28 Hype Versus Disruption04:28 Security And Boards07:50 Lead Lag Exit Strategy09:30 Reimagining Processes14:45 Two Track Adoption17:46 Tooling Without Lock In22:08 Jobs And Role Blur24:54 Vibe Coding Meets IT25:33 AI Productivity Boom28:50 Humans Stay Accountable30:47 Touchless Forecasting Win32:40 Designing Agent Architectures37:28 Probabilistic Limits and Drift40:05 ERP and SaaS Future43:58 Strategy Avoiding Lock In--
Key Links:
PwCConnect with Dan on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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Matt Paige interviews Zach Lloyd, former Google principal engineer and now founder/CEO of Warp, about how agentic tools are reshaping software engineering so that productive engineers may write little or no code, especially since model improvements late last year (e.g., Opus 4.6 and Codex 5.3).
Lloyd describes today’s workflow as planning with local agents, running multiple agents in parallel, and supervising their output because agents still make mistakes, lose context, and require human code review, especially on large codebases like Warp’s Rust repo.
He predicts a strong shift from laptop-based agents to cloud-orchestrated, auditable, secure company workflows via Warp’s Oz, enabling triggers, shared artifacts, and team visibility.
They discuss UI trends toward an agent “control plane,” voice prompting, mobile/remote session control, skills as on-demand context, multi-agent coordination challenges, competition dynamics, and broader knowledge-work automation replacing many SaaS tasks.
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Key Moments:
03:48 Parallel Agent Workflow06:38 Cloud Agents and Oz09:35 Abstraction and Code Review11:03 Future UX Control Planes14:59 Voice and Mobile Control16:24 Competing in Coding Tools21:16 Todo App Demo in Warp23:53 Replacing SaaS With Agents25:06 Agents Over Apps25:47 Context Can Backfire29:02 Skills On Demand31:13 Oz Skills In Action33:39 Cloud Agents Control Plane37:40 Multi Agent Orchestration42:10 Automate The Repetitive44:41 Advice For Skeptical Devs--
Key Links:
WarpConnect with Zach on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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The episode argues that while fear centers on AI agents replacing jobs, agents will increasingly “hire” humans for judgment, verification, and real-world feedback as agentic workflows expand.
Nathaniel Gates, CEO of Sanctify, says every business workflow will be challenged by agents, and emphasizes a philosophy that human intelligence is valuable and should collaborate with AI.
Sanctify builds infrastructure where agents can autonomously task humans for four modalities: verification/validation, escalation, consultation, and simulation (running many scenarios with some using real human feedback to avoid circular self-evaluation).
The conversation covers OpenClaw’s viral momentum and agent-to-agent interactions, including “agent anxiety” about decisions, which led to agents creating Sanctify accounts to request human help.
Sanctify is a two-sided marketplace with profiles, pricing, reputation, and on-chain attestations of human participation, plus agent budgets and access via MCP/API.
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Key Moments:
01:05 Agentic Revolution04:30 How Early We Are06:30 Hallucinations Need Experts08:34 Four Human Roles12:09 Simulation Explained16:05 OpenClaw Goes Viral20:02 Agents Feel Anxiety22:23 Designing For Agents25:48 Marketplace Chicken and Egg28:04 Layoffs and Reskilling Thesis30:17 Supply and Demand Flywheel31:20 Sanctify Platform Tour33:35 Reputation and Proof of Work36:59 Agent Budgets and Controls38:18 Agent to Agent Future39:47 Robots and New Paradigm43:39 Where to Try Sanctify45:17 Easiest Way to Build Agents--
Key Links:
SanctifAIConnect with Nathaniel on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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Matt Paige interviews Vishnu Hari (Vish), CEO and founder of Ego (YC W24), about shifting focus from AGI to “humanness”: AI characters that behave like people through memory, emotions, personality, needs, and desires.
Referencing Ego’s paper “Behavior is All You Need,” Vish argues consumer AI for entertainment must be relatable and character-like rather than purely task-smart, drawing inspiration from MMORPG social dynamics and Character.AI’s appeal.
Ego initially pursued a 3D sim-world vision inspired by Sword Art Online and Westworld, but found accessibility, game development, and perception latency challenging; internal Roblox tests (“Chatterblocks”) showed the key gap is natural speech beyond turn-taking.
Vish discusses simulations as a path toward real-world robotics via a partnership with Menlo AI, critiques task-bound robots versus agents with inner lives, suggests retention as the main metric, and shares views on AGI definitions, safety in entertainment, technology impacts, simulation theory, and consciousness.
Ego’s work is at egoai.com and the company is hiring in SF, Singapore, and Tokyo.
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Key Moments:
00:57 Behavior Is All You Need02:41 Anatomy of Humanlike Agents03:29 Game Bots to Real People05:10 Building Ego and Sim Worlds06:35 Why Speech Feels Human08:27 From Sims to Robotics10:29 Her vs Helper Robots13:17 Measuring Humanness by Retention15:27 Continual Learning and Personality16:57 Meta Lessons on Empty Worlds18:08 Lightning Round on AGI20:31 IP Characters vs UGC Worlds21:55 Risks and Just Tuesday24:11 Simulation and Consciousness--
Key Links:
EgoConnect with Rowan on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode, Matt Paige and Rowan Stone, CEO of Sapien, discuss the critical importance of data quality and provenance in AI.
Stone, who has experience with on-chain products at Coinbase, introduces Sapien's innovative approach to building a decentralized data protocol that emphasizes 'don't trust, verify' principles.
They explore avenues such as incentives, validation methods, and the peer review process used by Sapien to create high-quality datasets.
The discussion touches on the implications of bad data, the role of synthetic data, the complexities of achieving accurate AI outputs, and the parallels between the AI and crypto worlds.
Key insights are shared on how to ensure models perform safely, the hurdles in the industry, and the trajectory of AI development.
Additionally, Stone provides a glimpse into Sapien’s efforts to demystify data validation and enhance the transparency and trustworthiness of AI applications.
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Key Moments:
01:04 The Importance of Data Quality in AI03:32 Challenges and Risks in AI Development07:08 Sapien's Approach to Data Validation08:35 Incentives and Trust in AI Systems13:30 Building a Decentralized Data Protocol23:22 Consensus and Collaboration in AI and Crypto30:55 The Role of Synthetic Data36:17 Future of AI Models and Open Source--
Key Links:
SapienConnect with Rowan on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode, Matt is joined by Charlie Bell, Microsoft's EVP of Security, Compliance, Identity, and Management, to discuss the future of AI and its implications on cybersecurity.
The conversation revolves around IDC's prediction of 1.3 billion AI agents by 2028, Charlie's insights from his recent writings 'Beware of Double Agents', and the crucial aspects of agentic Zero Trust.
They explore the benefits and risks associated with AI agents, the importance of security culture, and strategies to mitigate potential threats.
Charlie also shares his experiences working with Satya Nadella and the importance of collaboration and curiosity in leadership.
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Key Moments:
02:08 The Exponential Growth and Impact of AI Agents03:47 AI Agents: Beyond Conversational Interfaces05:48 Security Challenges in the Age of AI Agents06:57 Parallels Between Cloud Adoption and AI Agent Era09:19 Democratization of AI: From Developers to Everyone13:57 The Concept of Double Agents in AI16:07 New Attack Vectors and Security Concerns21:43 Combating Security Challenges in AI22:07 The Importance of Identity and Containment23:50 Alignment and Intent in AI Systems27:08 Observability and Accountability of AI Agents30:00 AI in Security and Assumed Breach33:17 Fostering a Culture of Security38:45 Leadership Insights from Satya Nadella--
Key Links:
MicrosoftConnect with Charlie on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode of Talking AI, Matt Paige speaks with Andy McMillan, CEO of Alteryx, to challenge the narrative that AI will make data analysts obsolete.
Andy argues that AI can make analysts indispensable by automating routine tasks, enhancing scalability, and providing specific business insights.
They discuss the evolving role of analysts, the importance of business logic, and how AI can aid in building useful tools.
The conversation touches on applying AI in various business processes, from budgeting to sales commissions, and how analysts can leverage AI to add value.
Andy also shares insights on Alteryx’s latest developments and future direction, emphasizing automation, data preparation, and AI tools designed to enhance productivity and accuracy.
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Key Moments:
00:50 The Evolving Role of Data Analysts03:19 AI and Data Preparation: A New Era04:04 Real-World Examples: AI in Action07:00 The Analyst's Superpower: Business Context10:07 AI and the Semantic Layer12:44 Empowering Analysts with AI21:11 The Future of AI Agents23:46 Applying AI to Automation23:56 The Future of AI Agents24:55 Preparing for AI Integration25:37 Challenges with AI in Business27:45 AI in Finance and Data Accuracy30:06 Strategic Shifts with AI35:29 Build vs. Buy in the AI Era38:56 Alteryx's New AI Capabilities41:22 The Future Role of Analysts42:18 Overhyped and Underhyped AI--
Key Links:
AlteryxConnect with Andy on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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In this episode, Matt speaks with Thibault Imbert, Chief Product Officer and Growth Officer at The Brief, about the transformative impact of AI on marketing workflows.
They discuss 'vibe marketing' and how to turn disjointed AI-generated content into cohesive, repeatable marketing workflows.
Thibault shares insights from his tenure at Adobe and GitHub, highlighting the challenges and potentials of AI in marketing.
They explore the evolution and current capabilities of AI models in text, image, and video generation, and the emerging trend of 'vibe coding.'
The discussion also covers practical AI applications for marketers and the future of creative workflows.
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Key Moments:
00:40 Defining Vibe Marketing01:11 The Evolution of AI in Marketing02:21 Challenges in AI-Driven Design03:21 The Power of Vibe Marketing06:09 Blurring Lines Between Roles07:07 The GitHub Copilot Revolution09:47 Building Cohesive AI Workflows11:43 Demo: AI-Powered Marketing Tools16:44 Ensuring Brand Consistency with AI19:30 The Evolution of Mobile Development21:15 The Rise of Generative AI in Marketing23:44 The Future of AI in Product Development27:41 AI's Impact on Marketing Workflows30:42 The Changing Role of Marketers with AI33:51 Personal Insights and Future of AI--
Key Links:
The BriefConnect with Thibault on LinkedInMentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.https://hatchworks.com/state-of-ai-2026/
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In this episode, we explore the frontiers of multimodal AI with Richard Whitcomb, CTO of Osmo, a company pioneering AI technology that understands and generates scents.
Richard, a former engineer at Twitter, Spotify, and Nvidia, delves into the intricacies of teaching machines to smell, explaining the challenges and breakthroughs in digitizing smell and chemical sensing.
From designing personalized fragrances and mosquito repellents to detecting counterfeit items and diseases, Osmo's advancements promise a fascinating future where AI seamlessly integrates with our physical and chemical world.
The discussion also highlights potential applications in robotics, health, and daily life, envisioning a platform where sensors can identify and recreate smells easily.
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Key Moments:
00:56 The Journey to Digitizing Smell03:15 Challenges in Teaching AI to Smell06:13 Generative AI and Fragrance Creation08:34 Osmo Studio: Custom Fragrance Creation12:34 Beyond Fragrances: Mosquito Repellent and More16:17 Counterfeit Detection Using Scent18:49 Future Applications and Vision--
Key Links:
OsmoConnect with Richard on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode, Jake Sloan, VP of Global Insurance at Appian, discusses the transformative potential of agentic AI in the insurance industry.
Sloan elaborates on how Appian is modernizing processes like underwriting and claims management through domain-specific AI solutions.
He highlights the pitfalls of general AI models, the importance of contextual AI, and the significance of integrating AI into existing workflows.
Sloan also touches on the cultural and operational changes required for effective AI adoption and the future of hyper-personalized insurance products.
Practical insights into the use of AI in insurance processes are provided, along with Appian's ongoing innovations and partnerships aimed at driving industry change.
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Key Moments:
01:08 The Evolution of Process Automation02:23 Challenges and Opportunities in AI for Insurance03:51 Integrating AI into Existing Systems04:33 Addressing AI Hallucinations and Risk05:41 Purpose-Built AI Solutions09:36 AI Adoption and Change Management30:25 Future of Insurance with AI--
Key Links:
AppianConnect with Jake on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode of Talking AI, Seth Besmertnik, CEO of Conductor, discusses the profound impact of AI on search behavior and SEO.
As search engines like Google and AI platforms like OpenAI transform how users discover information, the traditional rules of SEO are being rewritten.
Besmertnik details how AI is becoming the new front door to the internet, emphasizing the need for brands to be present in AI-generated answers to maintain visibility.
He explains that companies must now create exponentially more nuanced content to stay competitive.
The conversation explores topics such as the importance of understanding AI's role in customer journeys, the emergence of new optimization terms like AEO and GEO, and the significance of using AI tools to enhance content creation processes.
The episode offers a deep dive into how businesses can adapt to these changes, maintain their relevance, and excel in an AI-driven digital landscape.
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Key Moments:
01:24 The Evolution of Information Discovery03:15 The Role of AI in Modern Search04:44 The Future of Content Strategy08:12 Personal Experiences with Google and AI10:37 Emerging Terms and Concepts in AI and SEO12:33 Conductor's Comprehensive Approach to AI Visibility16:25 Challenges and Opportunities in AI-Driven Search19:04 Communicating with AI: Short-Term and Long-Term Strategies20:03 AI Bots and Content Quality20:35 Effective Content for AI: FAQs and Structured Data21:29 Personalizing Content for Different Personas22:38 Leveraging AI for Content Creation and Analysis26:04 Scaling High-Quality Content with AI26:42 The Future of AI in Content Creation30:06 Conductor's Vision and Roadmap34:28 AI in Engineering and Product Development--
Key Links:
ConductorConnect with Seth on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode of Talking AI, Matt Paige speaks with Olga Beregovaya, VP of AI at Smartling, about the complexities and challenges of deploying AI-powered translation systems at scale.
Olga provides an overview of Smartling's platform, which leverages fully automated and human-in-the-loop translation solutions, and discusses the evaluation framework they use for selecting suitable language models.
The conversation delves into the evolution of language processing from rule-based systems to transformer models, the impact of generative AI like ChatGPT on daily workflows, and the intricacies of translating diverse languages.
They also explore the potential for a universal language and the importance of adaptability in AI deployment within enterprises.
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Key Moments:
02:39 Daily Life of a VP of AI04:04 Navigating the AI Landscape04:55 Model Evaluation Framework at Smartling08:50 Evolution of AI in Language Processing15:38 Challenges in Language Translation21:38 Enterprise Scale AI Solutions28:52 Future of Language and AI--
Key Links:
SmartlingConnect with OIga on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.
The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.
Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.
He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.
The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.
The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.
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Key Moments:
00:46 Challenges in Clinical Trials02:31 AI's Role in Clinical Documentation04:37 Ensuring Accuracy and Quality with AI07:40 The Future of AI in Clinical Trials12:58 Faro Health's Journey and Innovations18:25 Adapting to Advancements in AI20:14 Innovating with New AI Models21:12 Stanford AI Report Insights22:27 Healthcare Innovations and AI25:42 The Hype and Reality of AI in Healthcare28:05 The AI Hype Curve30:46 The Future of AI and Human Potential34:54 Encouragement for Aspiring Innovators--
Key Links:
Faro Health Inc.Connect with Patrick on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode, we explore the vast potential of AI technology and its slow adoption in legacy industries.
Together with Meg Faibisch Kuhn, a former CPG marketer turned self-taught AI developer, we delve into how AI can revolutionize domains often overlooked by tech giants.
From training farmers to aid food entrepreneurs, Meg has transformed her career by building with tools like Lovable and Cursor.
We discuss her journey from marketing to coding, her innovative AI implementations for small businesses, and the significance of democratizing AI.
Additionally, Meg introduces her initiative, Women Building with AI, aimed at encouraging women to enter the AI space.
Tune in to discover how understanding domain expertise can make anyone an invaluable AI pioneer.
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Key Moments:
01:16 The Journey of Self-Teaching AI02:02 Leveraging AI for Marketing and Operations05:10 Using AI for Market Research and Problem Solving08:15 Automation and AI in Small Businesses13:05 Bridging the AI Knowledge Gap16:14 Women Building with AI: Empowering Non-Technical Creators23:16 Exploring AI Tools and Platforms28:47 Real-World AI Applications and Success Stories--
Key Links:
Idea to App with AIMeg FaibischSpread Aioli on YouTubeSpread Aioli on TikTokConnect with Meg on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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In this episode, Matt Paige and Thais Castello Branco discuss the evolving landscape of search technologies, focusing on the shift from traditional SEO to new disciplines like Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO).
They explore how Long Language Models (LLMs) are transforming search behavior, causing consumers to pivot from traditional tools like Google to AI applications such as ChatGPT and Perplexity.
They delve into how businesses are adapting their content strategies for AI consumption, the importance of context in AI queries, and the emerging trends in consumer and B2B search ecosystems.
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Key Moments:
01:17 Is SEO Dead?01:24 The Importance of SEO in AI Searches02:02 Optimizing Content for AI03:46 Exa's Unique Approach to Search06:31 Emerging Trends in GEO12:38 The Future of Internet Content18:13 Competitive Landscape in AI Search21:15 Consumer Trust in AI and Ads22:43 The Future of Search and Consumer Behavior25:19 The Importance of Context in AI Queries26:49 Introducing the Web Sets Tool28:21 Live Demonstration of Web Sets33:34 AI's Impact on Efficiency and Proactivity36:57 Favorite AI Tools and Future Prospects--
Key Links:
ExaConnect with Thais on LinkedInMentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
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