What if search becomes.... proactive? 😲

Like, Google knows you so well that you don't even need to provide any details and it'll just deliver you the results.

Sound far off?

It's not, and Robby Stein is helping build that future.

Robby is the VP of Product at Google Search and he joined Everyday AI to dish details on how the next era of AI search is about so much more than personalization.

It's about Google becoming your personal Operating System that proactively delivers better results than you could.

AI Search as the Personal OS: The Next Interface For Information -- An Everyday AI Chat with Jordan Wilson and Robby Stein.

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Topics Covered in This Episode:

1. Google Search powered by Gemini 3 AI
2. Personal Intelligence integration in Google Search
3. AI Mode for conversational search experience
4. Secure Gmail and Photos context in search
5. Agentic and proactive search capabilities
6. Contextual search features in Chrome browser
7. Multimodal Gemini models enhancing search
8. AI-generated interactive tools and simulations

Timestamps:

00:00 Building AI-Enhanced Search Experiences

04:31 "AI-Powered Contextual Search Experience"

08:31 "AI with Context and Privacy"

12:50 "Advancing AI for Complex Queries"

15:48 "AI Mode vs. Gemini Usage"

18:25 "AI Assistance for Browsing Questions"

20:44 "Stop Running AI Circles"

25:22 "AI-Powered Personalized Assistance"

27:40 "AI Tools Revolutionize User Experiences"

30:04 "Ask Specifically for Better Results"

Keywords: 

AI search, personal operating system, information interface, Google Search updates, Gemini 3, frontier model series, conversational AI, personal intelligence, AI mode, AI-powered search, Gmail integration, personalized search experience, secure data connection, context-aware search, Gemini app, follow-up questions, agentic technology, agentic search, proactive search, reasoning capabilities, 

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Hundreds of millions just got an AI glow up and didn't even notice. 🤫

That's because Google just released new Gemini-powered AI features in Chrome, and hardly anyone noticed. 

How to fix that? Let's put AI to Work on Wednesdays. 

For this episode, we're gonna highlight 5 of our favorite features that have rolled out to millions under the radar. (Oh... and only 1 of them even requires a paid account.) 

Time to level up. 

Google’s New Gemini Features in Chrome: 5 Time-Saving AI Features -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Gemini-Powered Chrome Agentic Browsing Demo
2. Chrome On-Page Summaries Feature Explained
3. Google Apps Integration in Chrome Sidebar
4. Cross Tab Intelligence in Gemini Chrome
5. Nano Banana Image Editing Direct in Browser
6. Personal Intelligence Preview in Chrome Sidebar
7. Gemini Modes: Auto, Fast, Thinking, Pro
8. Real-World Multistep Task Automation in Chrome

Timestamps:

00:00 "AI Upgrades for Chrome Users"

03:42 "Google Sidebar AI Integrations"

07:36 "Streamlining Tab Overload"

12:24 "Unedited and Unscripted Learning"

14:12 "Agentic Browsing Features Overview"

18:14 "Generative AI Strategy & Training"

20:45 "Setting Up Nano Banana"

23:15 "Google Chrome's Time-Saving Features"

26:24 "Multi-Tab Chat with Gemini"

32:19 "Image Generation and Adjustments"

35:18 "Opt-In Google Personalization Benefits"

36:28 "Unscripted Insights on Browser AI"

Keywords: 

Google Gemini, Gemini features, Gemini Chrome integration, Chrome AI updates, Gemini sidebar, Gemini side panel, agentic browsing, agentic browser, autonomous assistant, AI job application, AI-powered browser, on page summaries, Chrome browser AI, Google app integration, Gmail integration, YouTube integration, cross tab intelligence, multi-tab intelligence, nano banana, nano banana Pro, image editing in browser, image generation AI, Gemini modes, auto mode, thinking mode, pro mode, Google password manager, personal intelligence, AI data privacy, AI multi-step tasks, Gemini settings, Google Photos history, personalized AI, AI context switching, browser productivity tools, AI for job seekers, 

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Like 99% of companies are pushing AI. 🚀

But like 0.01% are actually training their people on it. 🤦

Don't worry. We'll go over the essentials on how to get started training your team or getting your company trained on best practices for using AI in your day-to-day. 

First step to solving the AI implementation gap starts here. 

How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. AI Training Adoption Gap in Organizations
2. Seven Steps to Train Teams on AI
3. Importance of Leadership in AI Adoption
4. Fixing Broken Workflows Before AI Integration
5. Choosing and Committing to One AI Platform
6. Training Employees in Three AI Knowledge Layers
7. Documenting Procedures for AI Implementation
8. Mandating Hands-On AI Practice and Outputs
9. Transitioning Teams from AI Operators to Orchestrators

Timestamps:

00:00 "AI Spending, Training Gap Looms"

05:48 "Embracing AI-First Leadership"

08:43 "Choosing Between AI Copilots"

10:22 "Unified AI Operating System Strategy"

14:46 Partnering for Generative AI Success

18:40 "Document Processes for AI Workplaces"

19:58 "AI OS for Decision Trees"

24:56 "Future Jobs: Orchestrating Tasks"

27:33 "Training Teams on AI"

Keywords: 

AI training, large language models, corporate AI adoption, AI literacy, AI education, team AI training, employee AI training, organization AI strategy, AI workflows, workflow optimization, AI platform selection, AI operating systems, Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini, Anthropic Claude, shadow IT, AI tool sprawl, data documentation, procedure documentation, unstructured data, domain-specific AI training, AI upskilling, AI reskilling, hands-on AI practice, AI hackathon, change management, cultural adoption, AI leadership, CEO AI usage, champion teams, department AI training, AI ROI, measurable AI outputs, AI orchestration, operator to orchestrator, expert-driven workflows, AI agent, AI mindset shift, AI native workplace, AI best practices, AI adoption gaps, enterprise AI maturity

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More than 1 million AI agents joined a no-humans-allowed social network. Fun? Or Dangerous? 🤔

Could OpenAI and NVIDIA’s $100 billion deal be ‘on ice?’ 🧊

And did Anthropic’s CEO really just say that AI could take half of white collar jobs and maybe kill millions? 😲

There’s a lot of AI questions and you don’t have hours a day to go fishing for the answers. 

That’s our job. 

Tune in as we bring you this week’s AI News That Matters, cutting through the marketing B.S. and fluff and telling you what’s worth your time. 

AI bots start their own social network, NVIDIA-OpenAI drama, Google’s huge releases and more — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. NVIDIA and OpenAI $100B Deal Drama
2. Google Genie AI World Simulation Launch
3. Anthropic Claude Interactive Apps and Plugins
4. Google Chrome Gemini Auto Browse Agent
5. Google DeepMind Alpha Genome Medical Breakthrough
6. OpenAI Securing $60B Investment Funding Round
7. Anthropic CEO Predicts AI Superintelligence Risks
8. AI Bots Launch MoltBook Social Network
9. OpenClaw Open Source AI Agent Platform
10. Major AI Industry Updates and Model Releases

Timestamps:

00:00 NVIDIA Confirms Investment in OpenAI

05:32 "Google's AI World-Builder Unveiled"

10:41 "Anthropic Launches Interactive Claude Apps"

12:34 "Claude CoWorks Plug-ins Update"

17:12 "Google AI Decodes DNA Mutations"

21:17 "OpenAI, NVIDIA, and Expansion Updates"

22:20 "AI's Impact on Jobs Looms"

27:40 "OpenClaw: Open-Source AI Assistant"

28:43 Open Source AI with Limits

31:59 "Crypto Scams and AI Caution"

37:07 "AI Startups, Updates, and Rumors"

38:48 "Modulate: Trust Layer for AI"

Keywords: 

AI agents,

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Let's talk about the AI elephant in the room: hallucinations. 🐘

Maybe hallucinations are the reason your company has been hesitant on AI. 

But here's the thing, y'all. If you know what you're doing, hallucinations are largely manageable. 

But first, you gotta understand what they are, how they happen, and how to reduce the risk. 

Let's get started cutting down hallucinations together. 

AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5) -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. AI Hallucinations Definition and Causes
2. Large Language Models' Hallucination Mechanisms
3. Hallucination Types: Fabricated Claims & Sources
4. Model Improvements Reducing Hallucination Rate
5. Context Window Impact on AI Accuracy
6. AI Hallucinations in Legal and Enterprise Settings
7. Four-Layer Method for Minimizing Hallucinations
8. Custom Instructions and Retrieval-Augmented Generation
9. Expert-Driven Verification and Agent Safety Practices

Timestamps:

00:00 "Modulate's Velma: Smarter AI Insights"

03:18 "Reducing AI Hallucinations Explained"

08:36 "Minimizing AI Hallucinations with Skill"

12:30 "Model Retention and Recall Decline"

13:23 AI Advances: Improved Accuracy and Recall

19:24 "AI Hallucinations and Their Causes"

21:07 "Customizing AI Behavior Effectively"

24:47 "Connecting Data to Reduce Hallucinations"

28:47 "AI Oversight and Expert Input"

30:56 "Reducing AI Hallucinations Simplified"

Keywords: 

AI hallucinations, large language models, next token prediction, AI error, human error, fabricated claims, reinforcement learning with human feedback, context window, context engineering,

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Your company’s goldmine? 

All those meetings and call recordings. It’s the fuel that AI needs. 

But here’s the big letdown: those call transcripts only pick up the words. Not what they mean. 

And the difference? 

Well…. That can make all the difference. 

But some new technology might change what’s possible. 

Join us as we talk about it. 

AI Can Finally Hear What You Actually Mean. What this unlocks — An Everyday AI chat with Jordan Wilson and Modulate’s Mike Pappas.

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Topics Covered in This Episode:

1. Modulate Velma Voice Native AI Model Overview
2. Tone, Emotion, and Intent in Voice AI
3. Differentiating Text vs. True Voice Understanding
4. Real-World Voice AI Use Cases in Fraud Detection
5. Synthetic Voice and Deepfake Detection Techniques
6. Ensemble Listening Model (ELM) Technology Explained
7. Voice AI for Customer Service and Support
8. Trust, Compliance, and Observability in Voice AI Agents
9. Cost and Scalability Challenges for Voice AI
10. Future Impact of Voice AI on Customer Relationships

Timestamps:

00:00 "Modulate: AI That Understands Tone"

06:15 "AI Use Cases Beyond Gaming"

07:13 "Detecting Abuse and Fraud"

13:19 Dynamic Model Orchestration Innovation

16:22 "Context-Aware AI for Conversations"

17:44 "Voice AI Transforming Customer Service"

22:49 AI Accountability and Compliance Challenges

25:36 AI, Customers, and Brand Trust

28:05 "Enhancing Communication Through AI"

Keywords: 

Voice AI, voice native AI, voice understanding, tone detection AI, intent detection, emotional AI, prosody analysis, real-time fraud detection, synthetic voice detection, AI guardrails, deepfake detection, customer support AI, call analysis, 

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Lil AI productivity secret: we've become the duct tape for AI. 🦾

What's that mean?

Since the ChatGPT wave, we've seen the most AI-native business leaders actually become the defacto human scaffolding for what AI systems need.

↳ Endless copying-pasting-reformatting.
↳ Nonstop context switching.
↳ Frankenstacking random AI apps together.

The recent wave changing this?

Apps inside of LLMs.

Anthropic joined OpenAI as the next big AI player to offer interactive apps inside of their Claude platform.

So how's it work?

Join us and let's put AI to Work on Wednesday.

Claude Apps: How Anthropic’s New Interactive Apps Can Up Your AI Productivity -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Claude Apps Interactive Tools Overview
2. Anthropic’s Model Context Protocol (MCP) Explained
3. How to Enable Claude Interactive Apps
4. Claude Apps vs. ChatGPT Apps Comparison
5. Workflow Automation with Claude Connectors
6. Key Claude Apps for Productivity (Clay, Canva, Gamma, Slack)
7. Real-Time Collaboration and Embedded Interfaces
8. Limitations and Bugs in Claude Interactive Apps

Timestamps:

00:00 "Modulate: Beyond Text Transcriptions"

06:33 Using AI Tools for Productivity

08:51 "Streamlining Workflows with AI"

12:35 "Interactive Apps and Commands"

13:40 Contact and Company Verification Tools

17:16 "Interactive AI Operating Layer"

23:40 "Check AI's Chain of Thought"

26:56 "App Results and Feedback"

30:28 "Generating AI Slide Decks"

32:24 "AI Use Cases Guide"

35:15 "AI Risks and Daily Insights"

Keywords: 

Claude apps, Anthropic, interactive tools, AI productivity, large language models, model context protocol, MCP protocol, interactive apps, connectors, frankenstacking workflows, context switching, AI operating system, GUI,

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Ever wish you could get an AI cheat sheet? 

Like.... wrap up hundreds of hours of AI insights into a neat lil package spoon fed to ya live? 

Oh wait! Here it is. 

To celebrate our 700th Episode of Everyday AI, we're dishing: 

- 7 Ways AI Is Reshaping How We Work
- 10 AI Workflows That Actually Deliver ROI 
- 10 AI Skills Every Professional Needs in 2026

Needless to say, you don't wanna miss this one.

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Topics Covered in This Episode:

1. Seven Ways AI Is Reshaping Work
2. AI-First Operating Systems in Workplaces
3. Flattening Corporate Hierarchies With AI
4. Redesigning Operations for AI ROI
5. AI Agents Outnumbering Human Workers
6. AI Meeting Transcription as Data Pipeline
7. First-Party Company Reasoning With AI
8. Knowledge Workers Shift From Internet to LLMs
9. Context Engineering vs. Prompt Engineering
10. Ten AI Workflows Delivering Business ROI

Timestamps:

00:00 "Modulate's AI Revolutionizes Call Analysis"

06:14 "AI Reducing Middle Management"

07:01 "Rethinking Middle Management Efficiency"

10:51 AI, Meetings, and Work Evolution

14:12 "Future Shift: Internet to AI"

17:49 "10 AI Workflows Delivering ROI"

21:40 "Boosting Efficiency with AI Tools"

26:38 "AI Tools for Personalized Research"

28:49 "AI Boosts Customer Support Efficiency"

31:23 "Reducing Hallucinations in Responses"

36:38 "Adaptability and AI Skepticism"

37:16 "AI Reliance Risks Skill Atrophy"

42:12 "Focus on Practical AI Strategies"

44:15 "Context Matters in Language Models"

48:48 "Embrace AI Collaboration Now"

50:35 "Turning Insights into Actionable Value"

Keywords: 

AI in the workplace, AI workflows, artificial intelligence skills, AI adoption, AI operating systems,

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For real this time.... Apple is gonna have real AI soon!

For real for real. 

And if that's not enough to catch your attention, ChatGPT ads may be dropping in weeks, Anthropic might have beat Microsoft at its own game, and Google is bringing a MUCH more personalized version of AI and search to users in AI Mode. 

If you want to get ahead, you have to understand a blizzard of AI updates each week. 

That can take hours a day. 

Instead, tune in on Mondays as we bring you the AI News That Matters. 

Apple’s new ChatGPT competitor and updated AI Siri, ChatGPT ads dropping in weeks, Gemini makes search more personal and more -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. OpenAI New Revenue Model and Value Sharing
2. Anthropic Launches Claude Excel Add-In
3. Amazon Unveils Health AI for One Medical
4. Google Gemini Powers Personalized Search Integration
5. OpenAI ChatGPT Ads Rollout Details
6. Anthropic and OpenAI AI in Global Education Push
7. Apple AI Siri Beta with Google Gemini
8. Apple Campos Chatbot and iOS Integration
9. Runway Gen 4.5 Image-to-Video Upgrade
10. Shopify Adds 4% Fee for ChatGPT Checkout
11. Google Gemini Ultra for Workspace Business Accounts
12. Meta Superintelligence Labs Internal AI Model Release

Timestamps:

00:00 "Modulate Revolutionizes Voice AI Analysis"

06:51 Anthropic Launches Claude Excel Tool

11:02 "Amazon Expands AI Health Services"

12:07 AI Revolutionizing Healthcare Innovation

17:29 "OpenAI Introduces Ads in ChatGPT"

21:49 "AI Tools Transforming Global Education"

25:59 Apple's Siri Revamp with Gemini

27:23 "Siri Updates Powered by Gemini"

32:22 "AI on Smartphones: What's Next"

35:58 AI Advances: Agents, Images, Videos

37:44 "AI Trust Layer with Modulate"

Keywords: 

Apple’s AI competitor, updated Siri, ChatGPT ads, Gemini, Google Gemini AI, personalized AI search, OpenAI revenue model,

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Spending more time fixing your AI outputs then you're saving? 

You're not alone. 

The trap? 

You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. 

The real winners in the AI race? 

Companies that have changed the human-AI relationship. 

How? 

Join us for Volume 4 of our Start Here Series as we uncover what you need to know. 

Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Human-AI Collaboration Best Practices 2026
2. Shift from Operator to Orchestrator Roles
3. Human-in-the-Loop Limitations Explained
4. Expert-Driven AI Review Loops vs. Generic Oversight
5. Orchestrating AI Agents for Business Productivity
6. Building Reusable AI Context and Skills
7. Elevating AI Champions on Team
8. Human Strengths vs. AI Strengths in Workflows
9. Avoiding Augmentation Debt and Workflow Pitfalls
10. Mindset Shifts for Effective AI Management

Timestamps:

00:00 "Everyday AI: Start Here"

03:23 "AI Shift: Operator to Orchestrator"

06:35 "Unlearn to Harness AI"

11:15 "AI Surpassing Human Collaboration"

15:11 Expert-Driven AI Process Loops

18:10 "Expert Collaboration Boosts AI ROI"

23:59 "Outsmarting AI Through Expertise"

26:30 "Navigating AI Success Strategies"

31:19 "Embrace AI, Elevate Your Team"

32:18 "Embrace AI, Elevate Humanity"

Keywords: 

Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.

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If AI Agents have capabilities just like humans, should we treat them like humans? 

If something goes wrong in an agentic workflow, who takes the blame if they're all just nameless, faceless bots? 

Join us as we talk about it. 

Do AI Agents need Identities like humans? An Everyday AI Chat with Jordan Wilson and Okta's Eric Kelleher

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Topics Covered in This Episode:

1. AI Agents in Enterprise: Opportunities and Risks
2. Agentic AI: Human vs. Agent Responsibility
3. Securing AI Agent Identities: Okta’s Approach
4. Evolution of Identity Management for AI Agents
5. Identity Governance and Auditability for Agents
6. Agent Impersonation and Cybersecurity Threats
7. Rogue AI Agent Behaviors and Case Studies
8. Zero Trust Security: Agentic Age Challenges
9. Open Standards: Cross App Access Protocol
10. Benefits of Identifying AI Agents Like Humans
11. Responsible AI Adoption and Ethical Concerns
12. Practical Steps to Secure Agentic Identity

Timestamps:

00:00 "AI Agents: Power and Pitfalls"

05:38 "Automating Identity and Access Governance"

06:49 Balancing Innovation and AI Security

11:57 "Addressing Rogue AI Threats"

17:17 "Securing Real AI Agents"

19:56 "Balancing AI Innovation and Security"

24:13 "Standards for Identifying Nonhuman Agents"

27:24 "AI Agents: 24/7 Security"

29:48 Securing and Managing Agent Identities

Keywords: 

AI agents, agentic AI, AI agent identity, securing AI agents, agentic identities, AI identity management, nonhuman identity, machine identity, multi agent orchestration, agent impersonation, agent governance, securing agents, compromised identity, cyber attacks, threat actors, state actors, privileged access management, identity governance, identity directory, auditability, credential vaulting, agent provisioning, agent deprovisioning, automation, zero trust, AI authorization, AI authentication, cross app access, model context protocol, identity security posture management, rogue agent behavior, agent discovery, business logic, anomaly detection, technology guardrails, responsible AI, ethical AI,

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