Talking AI

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

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:
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/

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:
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/

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:
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/

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

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Key Links:
Warp
Connect 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/