Talking AI

By HatchWorksBusiness Technology Education How To Management

Talking AI episodes

May 20Talking 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.
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Key Moments:
00:54 Gemini Everywhere Strategy
02:09 Search Gets Agentic
03:47 Generative UIs for All
06:48 YouTube as Action Engine
08:21 Gemini Spark Agents
10:10 Adoption and Standards
13:55 Omni World Model
17:13 Pix Editing Workflow
19:06 Omni Platform Take
19:53 Fire Round Highlights
22:05 Glasses Demo Reactions
24:02 Wrap Up and Where to Follow

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Key Links:
DigitalSamaritan
Connect with Kushank on LinkedIn
RoboNuggets
Connect with Jay on LinkedIn
AI Builders
Connect with Marcin 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/
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
27 min
May 12Building 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/.
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Key Moments:
01:47 Making the Switch
05:00 Why Build Resonant
08:25 Local LLM Reality Check
11:23 Standing Out in AI
14:52 Designing Resonant Brand
19:16 Building Taste Systems
22:25 Learning to Build Apps
23:43 Early Computer Curiosity
25:41 Entrepreneur First and AI Shift
27:49 Teaching Yourself with Agents
29:05 Tooling and Tech Stack
31:05 Resonant Product Vision
35:14 Proactive Voice Workflows
36:42 Beta Launch and Monetization
41:15 Where to Try Resonant

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Key Links:
Resonant
Connect with Thomas on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
44 min
April 28The 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.
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Key Moments:
01:23 Homework Shortcut Reality
04:21 Kids Adopt First
05:27 Internet Era Lessons
12:00 myON Unlimited Reading
16:05 Personalization Starts Teachers
21:53 Trusted Data And Measurement
26:07 Mastery Model With AI Assist
27:44 AI Should Challenge Learners
28:42 Rethinking Assessment Loops
31:21 Data Driven Skill Insights
33:50 Connecting Learning to Purpose
36:02 Vibe Coding for Teachers
37:29 Future School Makerspaces
40:33 Balancing Creation and Effort
41:39 Renaissance AI Transformation
44:40 Agentic Dev and Legacy Systems
48:21 Renaissance Intelligence Platform

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Key Links:
Renaissance Learning
Connect with Todd on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
55 min
April 14PwC'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.
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Key Moments:
01:28 Hype Versus Disruption
04:28 Security And Boards
07:50 Lead Lag Exit Strategy
09:30 Reimagining Processes
14:45 Two Track Adoption
17:46 Tooling Without Lock In
22:08 Jobs And Role Blur
24:54 Vibe Coding Meets IT
25:33 AI Productivity Boom
28:50 Humans Stay Accountable
30:47 Touchless Forecasting Win
32:40 Designing Agent Architectures
37:28 Probabilistic Limits and Drift
40:05 ERP and SaaS Future
43:58 Strategy Avoiding Lock In

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Key Links:
PwC
Connect with Dan on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
52 min
March 31Warp'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.
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Key Moments:
03:48 Parallel Agent Workflow
06:38 Cloud Agents and Oz
09:35 Abstraction and Code Review
11:03 Future UX Control Planes
14:59 Voice and Mobile Control
16:24 Competing in Coding Tools
21:16 Todo App Demo in Warp
23:53 Replacing SaaS With Agents
25:06 Agents Over Apps
25:47 Context Can Backfire
29:02 Skills On Demand
31:13 Oz Skills In Action
33:39 Cloud Agents Control Plane
37:40 Multi Agent Orchestration
42:10 Automate The Repetitive
44:41 Advice For Skeptical Devs

--
Key Links:
Warp
Connect with Zach on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
50 min
March 17What 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.
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Key Moments:
01:05 Agentic Revolution
04:30 How Early We Are
06:30 Hallucinations Need Experts
08:34 Four Human Roles
12:09 Simulation Explained
16:05 OpenClaw Goes Viral
20:02 Agents Feel Anxiety
22:23 Designing For Agents
25:48 Marketplace Chicken and Egg
28:04 Layoffs and Reskilling Thesis
30:17 Supply and Demand Flywheel
31:20 Sanctify Platform Tour
33:35 Reputation and Proof of Work
36:59 Agent Budgets and Controls
38:18 Agent to Agent Future
39:47 Robots and New Paradigm
43:39 Where to Try Sanctify
45:17 Easiest Way to Build Agents

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Key Links:
SanctifAI
Connect 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/
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
49 min
March 03Behavior 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.
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Key Moments:
00:57 Behavior Is All You Need
02:41 Anatomy of Humanlike Agents
03:29 Game Bots to Real People
05:10 Building Ego and Sim Worlds
06:35 Why Speech Feels Human
08:27 From Sims to Robotics
10:29 Her vs Helper Robots
13:17 Measuring Humanness by Retention
15:27 Continual Learning and Personality
16:57 Meta Lessons on Empty Worlds
18:08 Lightning Round on AGI
20:31 IP Characters vs UGC Worlds
21:55 Risks and Just Tuesday
24:11 Simulation and Consciousness

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Key Links:
Ego
Connect with Rowan on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
31 min
February 17Don’t Trust—Verify: Building a Proof of Quality for AI Data
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 AI
03:32 Challenges and Risks in AI Development
07:08 Sapien's Approach to Data Validation
08:35 Incentives and Trust in AI Systems
13:30 Building a Decentralized Data Protocol
23:22 Consensus and Collaboration in AI and Crypto
30:55 The Role of Synthetic Data
36:17 Future of AI Models and Open Source

--
Key Links:
Sapien
Connect with Rowan on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
46 min
February 03Beware of Double Agents: Charlie Bell, Microsoft’s Security EVP on Securing AI
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 Agents
03:47 AI Agents: Beyond Conversational Interfaces
05:48 Security Challenges in the Age of AI Agents
06:57 Parallels Between Cloud Adoption and AI Agent Era
09:19 Democratization of AI: From Developers to Everyone
13:57 The Concept of Double Agents in AI
16:07 New Attack Vectors and Security Concerns
21:43 Combating Security Challenges in AI
22:07 The Importance of Identity and Containment
23:50 Alignment and Intent in AI Systems
27:08 Observability and Accountability of AI Agents
30:00 AI in Security and Assumed Breach
33:17 Fostering a Culture of Security
38:45 Leadership Insights from Satya Nadella

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Key Links:
Microsoft
Connect with Charlie on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
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/
44 min
January 20CEO of Alteryx on Why AI Agents Need Real Business Logic
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 Analysts
03:19 AI and Data Preparation: A New Era
04:04 Real-World Examples: AI in Action
07:00 The Analyst's Superpower: Business Context
10:07 AI and the Semantic Layer
12:44 Empowering Analysts with AI
21:11 The Future of AI Agents
23:46 Applying AI to Automation
23:56 The Future of AI Agents
24:55 Preparing for AI Integration
25:37 Challenges with AI in Business
27:45 AI in Finance and Data Accuracy
30:06 Strategic Shifts with AI
35:29 Build vs. Buy in the AI Era
38:56 Alteryx's New AI Capabilities
41:22 The Future Role of Analysts
42:18 Overhyped and Underhyped AI

--
Key Links:
Alteryx
Connect with Andy on LinkedIn

Mentioned in this episode:
GenROI by HatchWorks AI
Most companies don't have an AI problem. They have a prioritization problem. There are hundreds of places you could use AI, and the hard part is knowing which ones are worth the investment, which ones you're ready for, and what should come first.
GenROI uses AI-guided discovery to gather insights from across your whole organization, not just the few people who make it into a workshop. Our strategists then work with your leadership team to turn those insights into a prioritized AI roadmap weighted by business value, feasibility, and readiness.
Learn more at https://hatchworks.com/genroi
49 min

About Talking AI

From the publisher's feed

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…