Talking AI

HatchWorks

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it.

  1. 2d ago

    Stop Building Apps. Start Building Agents.

    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 LinkedIn Mentioned 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/

    44 min

  2. May 20 ·  Bonus

    Talking AI Live at Google I/O

    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. -- 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

    25 min

  3. May 12

    Building in Public as a Solo Founder in the Age of AI

    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/. -- 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 LinkedIn Mentioned 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/

    43 min

  4. Apr 28

    The Messy Middle of AI in Education: Panic, Promise, and What Comes Next

    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. -- 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 LinkedIn Mentioned 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/

    53 min

  5. Apr 14

    PwC's Chief AI Officer on the SaaS-pocalypse, Agent Governance, and What's Real

    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. -- 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 LinkedIn Mentioned 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/

    51 min

  6. Mar 31

    Warp's CEO on What It Actually Looks Like to Build with Agents in 2026

    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. -- 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 LinkedIn Mentioned 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/

    49 min

  7. Mar 17

    What If AI Agents Could Hire You? Inside the Human-in-the-Loop Marketplace

    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. -- 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 LinkedIn Mentioned 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/

    48 min

  8. Mar 3

    Behavior Is All You Need: Making AI Feel Like a Person

    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. -- 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 LinkedIn Mentioned 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/

    30 min
See All (76)

Trailers

5
out of 5
6 Ratings

About

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it.

Information

  • Creator
    HatchWorks
  • Years Active
    2023 - 2026
  • Episodes
    76
  • Rating
    Clean
  • Copyright
    © A podcast by HatchWorks®
  • Show Website
    Talking AI

You Might Also Like