You ever see a new AI model drop and be like.... it's so good OMG how do I use it? 🤔

Same.

And yeah.... Gemini 3 is THAT good.

So if you're wondering what's new, why it matters and how to use it, this episode is for you.

AI at Work on Wednesdays: let's get it with the world's most poweful model in Gemini 3.

Gemini 3 Deep Dive and 3 Upgraded Use Cases Anyone Can Use -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Gemini 3 Release Overview & Context
2. Gemini 3 AI Model Benchmark Scores
3. Gemini 3 Advanced Multimodal Capabilities
4. Gemini 3 Agentic Research & Tool Use
5. Gemini Canvas Interactive Data Dashboards
6. AI Studio Vibe Coding Experience Upgrade
7. Anti Gravity Platform for Developer Agents
8. Gemini 3 Pro Features in Google Search

Timestamps:
00:00 "Gemini 3: Unveiling the Upgrade"

05:43 "Google Gemini 3 Capabilities"

08:19 "Gemini 3 Powers Business Workflows"

11:16 "Gemini 3 Pro Dominates Benchmarks"

16:30 "Immersive Generative UI Advances"

18:09 "AI-Powered Dynamic Calculators"

22:30 Interactive Trend Dashboard Creation

26:03 "Streamlined AI News Workflow"

29:31 "Everyday AI and Gemini Updates"

31:54 Interactive Team Rankings Summary

36:04 "AI Studio and Business Tools"

37:20 "Evergreen AI & M&A Topics"

Keywords:
Gemini 3, Google Gemini, Google, AI update, Large Language Model, Multimodal AI, AI benchmarks, AI Studio, Vibe Coding, DeepMind, Agentic Research, AI Search Mode, Gemini Canvas, Data Visualization, Reasoning capabilities, PhD-level performance, Blind benchmark tests, LM arena, GPQA Diamond, Math Arena, Apex, Multimodal understanding, Video analysis, Spatial reasoning, Million token context window, Agentic encoding, Tool use, Web dev arena, Design arena, Learning tools, Flashcards, Visual aids, Long horizon planning, Workflow automation, Enterprise AI, Anti Gravity platform, Developer tools, IDE, AI mode in search, Google Vertex, Google CLI, Function calling, Real-time interactive tools, Simulation widgets, On-demand calculators, Dynamic generative UI,

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Head to AI.studio/build to create your first app.

Head to AI.studio/build to create your first app.

Gemini 3 is officially here. ✨ ✨ ✨

For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0.

So, what's new in Gemini 3?

And whether you're a developer or casual user, what does Google's new model unlock?

Join us as we chat with Google's Logan Kilpatrick's for all the answers.

Gemini 3: What’s new and what it unlocks for your business with -- An Everyday AI Chat with Google DeepMind's Logan Kilpatrick and Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Gemini 3 Release Overview & Features
2. State-of-the-Art AI Benchmarks Exceeded
3. Gemini 3 in Google Ecosystem Products
4. Gemini 3 Vibe Coding Capabilities Demo
5. Non-Developer Use Cases for Gemini 3
6. Multimodal Understanding and Visualizations
7. Agentic AI Tools: Gemini Agent & Anti Gravity
8. Business Growth with Gemini 3 AI Integration

Timestamps:
00:00 Gemini 3: State-of-the-Art AI

05:59 "Gemini 3: Build Ambitiously"

08:16 "AI Studio: Bringing Ideas Alive"

12:44 Gemini App Agents & Anti-Gravity

14:57 "Enhancing AI as a Thought Partner"

17:01 AI Studio: Build Apps Faster

Keywords:
Gemini 3, Gemini 3 Pro, Google AI, AI Studio, Vibe Coding, multimodal model, agentic coding, tool calling, anti gravity, generative interfaces, Gemini app, APIs, AI capabilities, interactive experience, visual dashboard, bespoke visualization, state-of-the-art model, developer platform, agentic developer tools, benchmark results, code editor, IDE integration, product experiences, infrastructure teams, triage inbox, personal assistant, proactive agents, 2.5 Pro, model capability, product feedback, code generation, gallery applets, build mode, ambition in AI, software engineering, feature enhancement, thought partner, AI-powered building, on demand experience, interactive visualizations, coding advancements, user engagement, real-time rollout.

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Head to AI.studio/build to create your first app.

Head to AI.studio/build to create your first app.

Buckle up AI world.

OpenAI released a new model, and apparently they’re not done.

Google is reportedly dropping Gemini 3 in hours.

Jeff Bezos is going back hands-on building a new AI company.

And that’s just the tip of the AI iceberg this week.

Don’t get drowned out in the noise. On Monday, we cut it straight with the AI news that matters.

Gemini 3 close to release, OpenAI drops GPT-5.1, Bezos to lead new AI startup and more AI News That Matters

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. OpenAI GPT-5.1 Release & Features
2. GPT-5.1 Personality Controls Explained
3. GPT-5.1 Thinking vs. Instant Models
4. Google NotebookLM Deep Research Update
5. NotebookLM Image & File Type Support
6. Anthropic $50B AI Data Center Expansion
7. Anthropic Claude Cyberattack Incident
8. OpenAI ChatGPT Group Chat Pilot Launch
9. Jeff Bezos Project Prometheus AI Startup
10. Meta AI Chief Yann LeCun Exit Rumors
11. Microsoft Fairwater AI Data Center Launch
12. Google Gemini 3 Anticipated Release Update
13. Nano Banana Pro Image Generator Leaks
14. Multi-Agent Systems in Gemini Enterprise
15. OpenAI GPT-5.1 Prompt Cookbook Release

Timestamps:
00:00 OpenAI Launches GPT 5.1

07:06 "GPT 5.1: Better, Yet Wordy"

09:08 "AI Updates and Insights"

11:19 NotebookLM Updates with Spreadsheet Support

16:38 "ChatGPT Group Chat Collaboration"

21:00 Bezos Co-CEO of AI Startup

25:29 Meta's AI Overhaul Sparks Chaos

28:13 "AI Exploited for Cyberattacks"

30:53 "Microsoft Expands AI Data Centers"

35:37 "Nano Banana Pro & Gemini 3"

40:12 AI Updates: GPT-5.1 Features

40:58 "AI News & Insights Weekly"

Keywords:
Gemini 3, Google AI, AI model release, GPT 5.1, OpenAI, AI conversational model, reasoning behavior, personality controls, compliance improvements, auto routing feature, thinking vs instant models, data center investment, Anthropic,

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Head to AI.studio/build to create your first app.

Head to AI.studio/build to create your first app.

Everyone knows AI needs your data to truly work.

But, what about your company's reasoning? 🤔

Buried beneath the modes and models, features and agents is something so fundamental that we almost always overlook it: the friggin gold that is your company's conversations.

It's your expertise. Your secret sauce. Your decision making. Your competitive advantage.

This is what you do about it.

Using AI to turn conversations into revenue: A leader’s guide -- An Everyday AI chat with Dialpad's Jim Palmer and Jordan Wilson

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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. AI-Powered Communications Platforms Explained
2. Enterprise Data Security in AI Sandboxes
3. Turning Business Conversations into AI Insights
4. Large Language Models for Conversation Analysis
5. Leveraging Unstructured Meeting Data with AI
6. Real-Time Sentiment Analysis for Revenue Growth
7. AI Automation in Contact Centers and Sales
8. Evaluating and Fine-Tuning Language Models Safely
9. Responsible AI Automation and Red Teaming Practices

Timestamps:
00:00 "Turning Conversations into Revenue"

03:31 "AI-Powered Business Communication Platform"

06:16 AI's Expanding Role Everywhere

09:51 Secure Communication and Data Insights

15:46 "AI Innovation and Collaboration"

16:56 AI Hackathon Accelerates Innovation

21:56 Optimizing AI for Accuracy

23:17 AI for Insights and Connections

27:34 "Evaluating and Building AI Trust"

31:46 Preparing for Automation in Business

34:31 "Aria: Model-Agnostic AI Solution"

Keywords:
AI-powered communications platform, Dialpad, large language models, business automation, customer conversations, conversation analytics, structured data, unstructured data, conversational AI, voice data, meeting insights, sales optimization,

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What happens when the web is all bots and AI? 🤖

And more importantly, what happens to your company's online presence when AI search completely takes over?

Big questions.

So we're bringing in the big gun for the answers.

Michael Walrath is the Chairman and CEO Yext Inc, a global leader in brand management and search experience.

Michael will dish the essentials on how brands can not just stay relevant in the post-human web, but how they can thrive and get ahead.

Don't miss this one.

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Post-Human Web SEO Strategies
2. Structured Data for AI Discoverability
3. Large Language Models Disrupting Search
4. Answer Engine vs Traditional Search SEO
5. Intent-Based Search and Brand Visibility
6. Memory in AI Answers Engines Explained
7. Granular Content Optimization for AI
8. Blocking AI Crawlers: Brand Strategy Debate
9. AI-Generated Ads Impact on SEM & SEO
10. Authoritative Brand Data for Visibility

Timestamps:
00:00 "Brands in the AI Era"

05:42 "Future of Search Engines"

08:19 "Generative AI vs SEO Strategy"

09:37 AI Personalization for Better Answers

12:41 "AI-Friendly Data for Brands"

15:56 "Empowering SEO with Seamless Tools"

20:29 "Future of AI-Powered Advertising"

24:48 "AI Knowledge: Useful but Creepy"

26:08 AI Impact on Ad-Supported Content

29:32 "Reddit Strategy Isn't Necessary"

Keywords:
Post-human web, brand visibility, generative AI, large language models, answer engines, structured data, organic SEO, search engine optimization, content creation, reputation management, social media management, digital transformation, data distribution, authoritative business data, machine learning, AI-powered search, fragmented discovery, natural language processing, context and memory, answer engine optimization, AI visibility, SEO strategy,

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You probably missed these NotebookLM updates. 🤫

While AI World has been focused on bubbles popping and data centers, Google has kinda quietly rolled out a friggin cornucopia of updates to its Gemini-powered NotebookLM.

Real talk: NotebookLM is more than a personal productivity tool. It's now an essential AI secret weapon for growing teams.

Join us as we tell you how and highlight 8 new features you've gotta know. Let' put AI to work on Wednesdays!

NotebookLM: 8 New Updates for November that you should be using -- An Everyday AI Chat With Jordan Wilson

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. NotebookLM Eight November Updates Overview
2. Custom Prompt Viewing for Deep Dive Reports
3. Chat History Defaults On in NotebookLM
4. Goal-Based Chat Customization for Users
5. Enhanced Privacy Controls in Shared Notebooks
6. Google Sheets Import in NotebookLM
7. Gemini 1,000,000 Token Context Window Integration
8. Mobile App Quizzes and Flashcards Release
9. Nano Banana AI Visuals in Video Overviews
10. Practical Use Cases for New NotebookLM Features

Timestamps:
00:00 "AI Updates and Use Cases"

05:09 "AI Wednesday: Notebook LM Updates"

07:14 "AI Updates and Features"

11:12 "Notebook LM: Grounded AI Tool"

16:28 "Access and Reuse Custom Prompts"

18:09 "Unified AI Collaboration Platform"

20:47 "Nano Banana: Google's AI Tool"

25:47 Notebook LM's Surprising Evolution

27:53 "Spreadsheet Import Size Limitation"

31:00 Mobile Learning Upgrade Boosts Productivity

34:06 "Nano Banana's Contextual Brilliance"

37:32 Import Data for AI Roleplay

41:45 "Keep Everyday AI Alive"

43:23 Next Time

Keywords:
notebook lm, NotebookLM updates, Google NotebookLM, Gemini 2.5, AI grounding, custom prompt, deep dive reports, chat history, goal based customization, privacy controls, Google Sheets integration, context window, 1,000,000 token context, mobile app updates,

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Apple is paying Google $1 billion because it failed at AI. 🤯

According to reports, Apple's powering its next generation of Siri with a custom version of Google's Gemini model.

So... how did Apple fail so bad and why is Google bailing them out?

And ultimately... what does this mean for Apple's users worldwide?

Come for those answers, stay for the #HotTakeTuesday

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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Apple's $1 Billion Gemini AI Deal
2. Siri's Internal Failure Rate Analysis
3. Apple's Generative AI Development Struggles
4. Google Gemini Integration for Siri Explained
5. Data and Privacy Challenges in Apple AI
6. Market Cap Impact from Apple’s AI Lag
7. Apple’s Talent Drain in AI Engineering
8. Mixture of Experts Model for Siri’s Upgrade
9. Complex Multi-App Commands with Gemini-Powered Siri
10. Future of Apple’s Own Trillion-Parameter Model

Timestamps:
00:00 "AI Innovation Needs Safe Sandbox"

03:19 Apple's Siri AI Failure

09:04 "Apple’s AI Strategy with Gemini"

12:48 Apple's Market Cap Shift Explained

15:41 Apple's Siri: Tech Debt Struggles

20:06 Apple-Google Rivalry Over Data Privacy

21:48 "Apple's Cost-Effective AI Strategy"

24:33 Future AI-Empowered Data Organization

30:12 Apple Bailout & Siri’s AI Needs

31:19 "Model-Agnostic AI Solution"

Keywords:
Apple, Google Gemini, Siri, $1 billion bailout, AI partnership, privacy first company, generative AI failure, Apple Intelligence, large language model, 1.2 trillion parameter model, licensing agreement, Siri upgrade, AI brain, ChatGPT integration, OpenAI, Anthropic, talent drain, data gap, market cap, arrogance in AI development, private cloud compute, stateless compute, mixture of experts, sparse activation, cost management, reasoning models, multi-step commands, mobile assistant, voice agents,

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Could a model named…. Kimi K2 Thinking wreak havoc on the U.S. AI scene? 🤔

And why is Apple gonna pay Google a billion dollars a year? 🤝

And is OpenAI suggesting a government insurance if AI fails? 🛟

So many AI questions. We’ve got your AI answers.

On Mondays, Everyday AI brings you the AI News That Matters.

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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Apple-Google Gemini AI Siri Partnership
2. OpenAI Federal Financing Backstop Controversy
3. Moonshot Kimmy K2 Open Source LLM Benchmarks
4. Anthropic's $350 Billion Valuation Surge
5. Microsoft Launches Humanist Superintelligence Team
6. IBM Announces AI-Driven Job Cuts
7. Meta's $600B AI Infrastructure Investment
8. Google's Project Sun Catcher: Space Data Centers
9. OpenAI $38B AWS Cloud Partnership
10. Google Gemini Deep Research Across Workspace Apps

Timestamps:
00:00 Apple Chooses Google Gemini AI

06:12 "AI Shorting Sparks Market Stir"

08:44 Google Deepens AI Race Investments

12:33 "AI Model Performance Concerns"

16:38 "Microsoft’s AGI Push Begins"

18:25 "Humanist Superintelligence vs AI Autonomy"

21:08 IBM Cuts Jobs for AI Focus

25:57 Meta's AI Rumors: Open vs Closed

29:04 Google Stress-Tests Space TPU Chips

31:52 "OpenAI Clarifies: No Federal Backstop"

35:10 "OpenAI's Mixed Messaging"

38:17 AI Updates: GPT-5, Gemini, Research

41:12 Everyday AI: Subscribe & Explore

Keywords:
Apple and Google AI partnership, Gemini AI, Siri AI update, billion dollar AI deal, Anthropic AI, OpenAI federal backing, AI government bailout, Michael Burry AI short, Nvidia stock drop, Palantir stock, US Department of Justice antitrust, Tim Cook AI acquisition, AI production risks, Aria AI sandbox, Microsoft superintelligence, Mustafa Suleiman, humanist superintelligence, frontier AI models, recursive self-improvement,

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