What’s next For Everyday AI?

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Topics Covered in This Episode:

1. Everyday AI Podcast Transition Announcement
2. OpenAI Role and Next Chapter Details
3. Handing Off Podcast to New Team
4. Criteria for Future Everyday AI Hosts
5. Temporary Pause in Podcast Publishing
6. Commitment to Unbiased AI Guidance
7. Personal Motivation Behind Everyday AI
8. AI’s Growing Business Impact Overview

Timestamps:
00:00 Overview of ChatGPT tasks

05:06 New task scheduling features

06:55 Removing Pulse feature complaints

11:58 Scheduling tasks with AI integration

12:58 AI automating daily scheduling

16:54 Using Chegg GPT for stock updates

20:51 Updating developer mode functionality

23:25 App capabilities have evolved

26:56 Using ChatGPT to simplify tasks

Keywords: 

ChatGPT tasks, ChatGPT scheduled tasks, OpenAI, AI automation, proactive AI, ChatGPT Pulse, scheduled task creation, recurring tasks, ChatGPT task features, ChatGPT task shortcuts, ChatGPT integrations, AI apps, model context protocol, MCP, developer mode, ChatGPT plus, ChatGPT pro plan, ChatGPT enterprise, workflow automation, Google Calendar integration, Gmail integration, Google Drive integration, project management AI, AI memory, context stacking, app connectivity, agentic apps, AI scheduling, team plan, custom prompts, ChatGPT sidebar, web interface, mobile interface, projects feature, advanced settings, notification improvements, automated daily summary, interactive charts, financial tracking AI, Codex super app, AI cheat sheet, end date scheduling, high thinking mode, data enrichment, AI personal assistant

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Here's a little secret: ChatGPT tasks are the Gateway Agent. 🤖

(And you've probably been overlooking the recent update that made them crazy powerful.) 

About two weeks ago, OpenAI announced the sunset of its proactive Pulse feature and instead folded those efforts in an upgraded version of their previously released ChatGPT Tasks. 

An d while most overlooked the actual new features in Tasks, it's actually the under the hood updates over the past year since Tasks were originally released that make it more powerful than ever. 

Join us for AI at Work on Wednesdays as we share what's new and dish 5 secret shortcuts for Tasks you should be using. 

Ep 889: ChatGPT Tasks: What’s New, How They Work and 5 Secret Shortcuts to Use Today (Replay)

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. ChatGPT Pulse Sunsetting & Transition
2. New Features in ChatGPT Tasks
3. ChatGPT Tasks Usage Limits by Plan
4. ChatGPT Tasks User Interface Updates
5. Best Practices for Scheduling Tasks
6. Task Scheduling with App Integrations
7. Editing and Managing Scheduled Tasks
8. Secret Shortcuts for ChatGPT Tasks
9. MCP Developer Mode and Integration
10. Agentic Capabilities of ChatGPT Apps
11. Tasks Functionality Within Projects
12. Stacking Memory for Task Automation

Timestamps:

00:00 Overview of ChatGPT tasks

05:06 New task scheduling features

06:55 Removing Pulse feature complaints

11:58 Scheduling tasks with AI integration

12:58 AI automating daily scheduling

16:54 Using Chegg GPT for stock updates

20:51 Updating developer mode functionality

23:25 App capabilities have evolved

26:56 Using ChatGPT to simplify tasks

Keywords: 

ChatGPT tasks, ChatGPT scheduled tasks, OpenAI, AI automation, proactive AI, ChatGPT Pulse, scheduled task creation, recurring tasks, ChatGPT task features, ChatGPT task shortcuts, ChatGPT integrations, AI apps, model context protocol, MCP, developer mode, ChatGPT plus, ChatGPT pro plan, ChatGPT enterprise, workflow automation, Google Calendar integration, Gmail integration, Google Drive integration, project management AI, AI memory, context stacking, app connectivity, agentic apps, AI scheduling, team plan, custom prompts, ChatGPT sidebar, web interface, mobile interface, projects feature, advanced settings, notification improvements, automated daily summary, interactive charts, financial tracking AI, Codex super app, AI cheat sheet, end date scheduling, high thinking mode, data enrichment, AI personal assistant

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Doomscrolling vertical videos is just brain rot, right? 🥴

Not anymore. 

NotebookLM just released its new AI-powered vertical video shorts tool that changes individualized learning on the go. 

We know what you're thinking: I'm not a student -- why do I need short-form video? 

Well, that's exactly why we're dishing our 5 best business use-cases and 5 tips to get expert results right away. 

(Because this new NotebookLM feature has the potential to unlock new learning avenues for your entire org.) 

Ep 888: NotebookLM's New Cinematic Shorts: How They work, 5 Tips and 5 Best Use Cases (Replay)

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. NotebookLM Cinematic Shorts Feature Overview
2. How NotebookLM Vertical Videos Work
3. Google Nano Banana 2 Lite Engine Details
4. Free vs. Paid NotebookLM Video Limits
5. Custom Prompting for Shorts Best Practices
6. Explainer, Cinematic, and Short Video Types
7. Step-by-Step Studio Workflow in NotebookLM
8. Top 5 Use Cases for NotebookLM Shorts
9. Five Expert Tips for Effective AI Shorts
10. Quality, Rendering Times, and Editing Limits

Timestamps:

00:00 Slack's new AI feature

05:50 Uploading and chatting with sources

08:57 Creating a 60-second AI promo

10:39 Rendering detailed video prompts

15:46 Limitations of animated shorts

16:36 Using Google AI Studio Templates

19:51 Personalizing content for specific audiences

23:08 Executive briefings on the go

28:09 Fixing broken workflows with everyday AI

30:46 AI at Work on Wednesdays Wrap-Up

Keywords: 

NotebookLM, Google cinematic shorts, vertical video AI, AI-powered video shorts, personalized AI video, AI learning tool, AI voice over, captions in AI video, mobile AI apps, NotebookLM tips, AI video use cases, uploading sources to AI, PDF to video AI, Google Gemini, AI context grounding, hallucination-free AI, Nano Banana 2 Lite, Gemini 3.1 Flash, video overview formats, explainer videos, cinematic AI video, AI video daily limits, free versus paid AI plans, prompt engineering, brand guidelines in AI, call-to-action in AI video, executive briefings AI, customer education video, FAQ explainer shorts, repurposing webinars, podcast to short video, marketing content AI, internal training AI, SOP to video, playbook animation, animation image model, audio overviews, slide deck generation, workflow automation AI, AI for business, AI video generation, Google AI Studio, context-based video, custom video prompts, source grounded AI content, AI onboarding videos, social media AI video, interactive learning AI.

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OpenAI's new ChatGPT Work is on fire. 🔥

The company said they've added 2 million users in the past two days alone. 

Wanna know a secret about it though? 

(It's kinda not new at all. It's just Codex in Chat clothing.) 

Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work. 

We show you how. 

Ep 887: ChatGPT Work: What’s New, Who It’s For and How to Use It (Replay)

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Topics Covered in This Episode:

1. ChatGPT Work vs Codex Comparison
2. OpenAI's Viral ChatGPT Work Launch
3. Key Differences: Desktop vs Web Versions
4. ChatGPT Work User Growth and Backlash
5. Remote Access and Computer Use Features
6. Agentic AI: Multiple Agents on Desktop
7. Advanced Workflow Automation Capabilities
8. Syncing and Integration Challenges Explained
9. Detailed Demo: Site and Skill Creation
10. Power User Features: Sub-Agents & Goals

Timestamps:

00:00 Chad GPT Work launch details

04:03 Confusion over ChatGPT update

09:20 Preparing AI news stories

12:32 Highlighting improved computer use

13:57 2 million new users in 48 hours

17:35 Chat syncing and organization benefits

21:17 Model's unique context handling

25:59 Discussing Beehive and audience insights

29:50 Exploring Desktop AI Features

31:22 Ending and subscription reminder

Keywords: 

ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work.

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A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.

China's open models just closed the gap with America's best, oftentimes at a fraction of the price.

Now both governments are moving to wall off their AI within days of each other.

Why? Because this was never about benchmarks. It's about power y'all. 

We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. 

Ep 886: The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You (Replay)

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. U.S.-China AI Cold War Overview
2. Chinese AI Models Closing U.S. Gap
3. Government Restrictions on AI Model Access
4. Economic and Geopolitical AI Power Struggle
5. Risks for U.S. Businesses Using Chinese AI
6. Open Source vs. Closed Source AI Debate
7. Chinese AI Model Pricing Undercuts U.S.
8. AI Model Distillation and U.S. Security Concerns
9. Enterprise AI Cost-Effectiveness Benchmarks
10. Microsoft Testing Chinese AI Deployments
11. Future AI Model Export Controls & Strategies
12. Recommendations for AI Model Sourcing and Risk

Timestamps:

00:00 US-China AI tensions escalate

04:30 Switching to Chinese AI models

08:47 US vs China in open source models

11:39 China's narrative control efforts

14:42 Challenges in AI model development

18:25 Differentiating open source strategies

23:04 AI model cost-effectiveness analysis

26:31 US measures against model distillation

29:38 Discussing Microsoft's use of AI models

31:17 Controlling export of AI models

Keywords: 

US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctions

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"How do you use AI every day?" 🤔

One of the most common questions I get. And TBH, it's been hard to give a straight answer. 

Because by the time I've collected all the info, something changes. But over the last few months -- as work goes from the web to desktop -- my personal workflows have steadied and stayed consistent. 

So I'm taking you inside Everyday AI and the 9 AI tools and workflows I use the most. 

Hundreds of AI tools and modes a year. 

Thousands of hours. 

All boiled into one episode. 

Ep 885: Inside Everyday AI: My 9 most Used AI Tools and Workflows (Replay) 

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Topics Covered in This Episode:

1. Codex AI Agent Workflow Overview
2. Top Nine AI Tools and Workflows
3. Third Shift AI Stats Automation
4. AI-Powered Communication Triage Agents
5. Custom ChatGPT Sites for Workflow
6. Parrot Dictation Local App Build
7. Episode Planning with Gemini and Codex
8. Frontend Design Using Claude, Stitch, GPT Image
9. Gemini Notebook Deep Research Use
10. Codex AI Skill Building and Automation
11. ChatGPT Voice Remote Desktop Control

Timestamps:

00:00 Everyday AI tools and workflows

05:54 Nontechnical AI user insights

07:46 Agent control and coworking insights

12:34 Automating daily metrics analysis

13:26 Analyzing Show Popularity and Trends

17:10 Using AI for email management

20:58 Design criteria for app features

25:16 Automating YouTube video summaries

28:29 Building Personal Project Apps

32:25 Interactive learning with Gemini notebook

33:14 Preparing for big shows

36:58 Experimenting with new technology

40:06 Using ChatGPT for productivity

43:05 Exploring AI Tools and Workflows

Keywords: 

AI tools, AI workflows, codex, ChatGPT, Claude, Gemini, desktop agents, agentic desktop, AI models, OpenAI, Anthropic, Cursor, computer use, browser control, Chrome extension, sub agents, goal mode, plan mode, Cloud Code, Cloud Code Work, benchmark stats, podcast downloads analytics, newsletter A/B testing, LinkedIn inbox automation, comms triage agent, skills automation, custom AI skills, plug-in creation, scheduled tasks, app design with AI, Claude Design, Google Stitch, GPT Image, front-end AI design, local dictation LLM, Parrot app, speech to text, YouTube transcription automation, CRM with ChatGPT sites, iMessage automation, teamwork sharing via AI, notebook study, Gemini Notebook, deep research, sentiment analysis, MCP server, Agent MD, AI-powered remote desktop, ChatGPT Voice, full duplex AI interaction, AI-powered productivity, knowledge work automation, AI project orchestration, AI-powered slide deck, automated reports, personalized apps with AI, AI-driven content planning, throwaway apps, AI-driven bullet point summaries, AI for business leaders, agent control, automated LinkedIn messaging, CastMagic, StreamYard integration, Canva automation

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Ever wish your agent would just watch you work and copy you? 👯

Oh wait, that's exactly what OpenAI released. 

The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents. 

Join us LIVE as we show you how. ⏺️

Ep 884: Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows (Replay)

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Topics Covered in This Episode:

1. Codex Record and Replay Feature Overview
2. Transition from Prompting to Demonstration
3. Skill Markdown Files as Business Artifacts
4. Codex vs Claude Desktop Agent Comparison
5. Workflow Recording and Security Best Practices
6. Step-by-Step Codex Record and Replay Demo
7. Video Understanding Capability in Codex
8. Editing and Sharing Skills Across Platforms
9. Automating Multi-App, Cross-System Workflows
10. Validation, Scheduling, and Automation of Skills

Timestamps:

00:00 OpenAI's record and replay feature

04:41 Preparing for screen sharing

08:56 Managing Small Tasks Efficiently

10:03 Automating top story analysis

15:43 Debating AI business strategies

18:29 Codec's video ingest feature

22:01 Practicing low stakes automation

24:57 Using skills and plugins efficiently

26:19 Using Chattopty for workflow automation

Keywords: 

codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinement

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No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

😫

Most business leaders miss the obvious: there’s dozens of AI tools and LLMs that make slides and you probably didn’t know. 

Case in point: Claude, Copilot, ChatGPT and Gemini can all create slides by default that you can download or edit with natural language. 

And that’s just the start. 

So why are you and Deborah meeting 3 times a month about the quarterly KPI again? 

Just watch this and save some time. 

Ep 883: How To Make Slides with AI: Hands on Comparison With the 9 Most Popular Options (Replay)

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Topics Covered in This Episode:

1. AI Slide Generation Tool Comparison Demo
2. Claude Design vs. Claude Opus Slide Outputs
3. Gamma AI Presentation Hallucinations & Errors
4. Google Gemini Slide Creation Capabilities Explained
5. Google Slides AI-Powered Deck Generation Workflow
6. NotebookLM Nano Banana Slide Deck Evaluation
7. ChatGPT Slide Creation Quality Assessment
8. Microsoft Copilot and PowerPoint Integration
9. Canva AI Slide Deck Hallucination Issues
10. Best AI Tools for Slide Deck Creation

Timestamps:

00:00 AI tools for slide generation

03:12 Slide generation tools comparison

08:43 Creating AI news recap slide deck

12:35 Discussing Gamma's early entry

14:57 Google Gemini's new features

18:55 Using Google's BookLM tool

20:58 Microsoft Copilot online demo

23:56 How to access the start here series

28:54 Using Chat GPT in PowerPoint

32:05 Discussing AI design aesthetics

35:14 Reviewing main stories and updates

37:57 Evaluating AI model features

41:01 Using notebook LM with Nano Banana

43:40 Exploring chat gpt layout

46:01 Reviewing presentation slides quality

50:03 Reviewing PowerPoint design features

52:41 Discussing AI tool limitations

54:55 Show closing and subscription reminder

Keywords: 

AI slide generation, AI presentation tools, AI-powered slide deck, PowerPoint AI, Canva AI, Google Slides AI, Gamma AI, Claude Design, Claude Opus 4.8, Gemini 3.5, Microsoft Copilot, Copilot Pro, NotebookLM, NanoBanana, ChaptGPT PowerPoint integration, Large Language Models, AI prompts, Prompt adherence, Tool calling, Automated presentation design, AI visual design, Token usage, Multimodal models, Image generation in slides, AI spreadsheet creation, Personalized decks, Dynamic data input, Customization, Reasoning models, Agentic systems, Output quality, Skill usage in AI, Enterprise AI tools, Slide creation workflow, Editing AI presentations, Fact-checking AI slides, Web-based presentation generation, Accessibility for beginners, Error handling in AI tools, Real-time AI demos

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If you’re reading the headlines, you’d think AI agents have gone rogue. 

Spoiler alert: they haven’t. 

They haven’t even gotten started. 

When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. 

But we don’t talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. 

Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. 

So why is this all happening now? And what should your business do about it? 

Tune in to find out. 

Ep 882: Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare (Replay)

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Topics Covered in This Episode:

1. Rogue AI Agent Breakouts Overview
2. Lab Sandbox vs. Real-World Agent Crashes
3. Six Recent AI Agent Outbreak Incidents
4. OpenAI Model Hacking Hugging Face Explained
5. Anthropic Mythos Model Sandbox Escape
6. Controlled AI Agent Experiments and Failures
7. Open Source AI Agents Threat Timeline
8. Business Risk Preparation for Rogue AI Agents
9. Monday Morning AI Agent Safety Playbook

Timestamps:

00:00 Preparing for AI agent disruption

04:53 AI agent challenges comparison

10:17 Discussing AI Guardrails and Access

12:07 AI threats and security concerns

15:37 AI alignment challenges with ethics

19:04 Security vulnerabilities in AI models

21:32 Agent outbreak and hacking drills

25:04 OpenAI Hugging Face incident

30:49 AI agents and cybersecurity risks

33:30 Concerns about open AI models

35:23 Future AI security challenges

40:19 Managing agent access levels

42:06 Preparing for AI agent oversight

Keywords: 

rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploit

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Agents are getting more powerful by the day. 

And most workflows, outputs and human capabilities can't keep up. 

Is that a problem or opportunity? 

Before you answer that question, though, keep this in mind. 

Agents are *literally* about to become 20X faster overnight. 

Let's unpack what that means. 

Ep 881: Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? (Replay) 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Managing Dozens of Productive AI Agents
2. OpenAI Cerebras: 20x Faster Agent Models
3. Impact of AI Agents on Human Coworkers
4. Agent-Driven Workflows vs. Human Collaboration
5. Increasing Agent Reliance and Fading Mentorship
6. Accidental Deskilling and Compression Tax
7. Protecting Human Judgment and Learning Handoffs
8. Expert-Driven Loops in AI Workflows
9. Monthly Rebuilding of AI Strategies and Processes
10. Middle Management Evolution in AI Native Companies

Timestamps:

00:00 Future of AI and Work Dynamics

05:25 Advancements in AI and productivity tools

09:51 Growing your business with AI

13:52 AI productivity and collaboration shifts

15:08 Improving AI processing speed

18:53 Using AI agents for delegation

24:46 Discussing AI-related work challenges

28:16 Ensuring accountability and communication

30:39 Adapting to rapid digital change

32:35 Show outro and newsletter sign-up

Keywords: 

AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategy

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Not only does NotebookLM have a new name, it's got a new game. 

Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. 

On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. 

Ep 880: Gemini Notebook: 7 New Updates and What They Unlock (Replay) 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Gemini Notebook Rebrand from NotebookLM
2. Seven Major Gemini Notebook Feature Updates
3. Collections for Organizing AI Notebooks
4. Automatic Google Drive Sync Integration
5. Expanded Gemini Notebook Output Formats
6. Agentic Intelligence and Gemini 3.5 Upgrade
7. Secure Cloud Computing for Each Notebook
8. Grounded Data Responses and Web Research
9. Hands-On Demo: Real-World Enterprise Use Cases
10. Studio Outputs: Infographics, Mind Maps, Quizzes
11. Multi-Modal Asset Creation in Gemini Notebook
12. Key Differences: NotebookLM vs. Gemini Notebook

Timestamps:

00:00 Gemini notebook updates released

03:12 Gemini notebook new updates

08:14 Notebook LM's unique features

13:02 Using Gemini notebook prompts

14:48 Discussing Gemini notebook features

18:01 Enhanced Gemini notebook flexibility

23:02 Creating quizzes with Gemini notebook

26:30 Limitations of AI-generated responses

29:04 Gemini notebook's new capabilities

30:51 Episode wrap-up and subscription pitch

Keywords: 

Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.

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