Everyday AI Podcast – An AI and ChatGPT Podcast

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. 

How To Make Slides with AI: Hands on Comparison With the 9 Most Popular Options — An Everyday AI Chat with Jordan Wilson

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

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
AI Slide Generation Tool Comparison Demo
Claude Design vs. Claude Opus Slide Outputs
Gamma AI Presentation Hallucinations & Errors
Google Gemini Slide Creation Capabilities Explained
Google Slides AI-Powered Deck Generation Workflow
NotebookLM Nano Banana Slide Deck Evaluation
ChatGPT Slide Creation Quality Assessment
Microsoft Copilot and PowerPoint Integration
Canva AI Slide Deck Hallucination Issues
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
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

More tokens = more ROI, right? 🤔

Maybe. 

But probably not. 

Maybe one of the weirdest AI trends that has oddly stuck in 2026 is tokenmaxxing -- the practice of individuals and companies racing to use as many AI tokens as possible and equating it with business progress. 

Reality check: token efficiency is the real rage. 

So, how do you measure token efficiency and how can your company avoid the cost pitfalls of tokenmaxxing? 

Join us as we break it down.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
AI Token Maxing: Rise and Fall
Defining AI Tokens and Tokenization
Four Main Types of AI Token Usage
AI Agentic Loops and Token Consumption
Corporate Token Leaderboards and Meta Example
Risks of Unmonitored Token Burn in Enterprises
Token Subsidies and AI Pricing Trends
Measuring Token Efficiency versus Token Volume
Benchmarking Models: Cost per Intelligence Output
Shifting from Model Selection to Harness Efficiency
Best Practices for Enterprise Token Optimization
Monitoring AI Agents for Token and Cost Control

Timestamps:

00:00 Rethinking AI token usage
05:46 Token usage misconceptions in companies
09:15 Using token incentives
10:48 Tech companies adding usage limits
13:21 Understanding model token usage
17:16 Agentic models and tool use
22:21 Experimenting with token efficiency
25:18 Measuring AI's economic impact
29:11 Comparing AI intelligence and cost
30:36 Cost concerns with Anthropics' AI models
35:20 Importance of token efficiency
38:03 Takeaway from Microsoft CTO chat

Keywords: 
token maxing, token efficiency, AI token usage, AI tokens, token consumption, large language models, agentic loops, AI spend, token cost, model subsidies, subsidized AI plans, enterprise AI strategy, context window, prompt engineering, API usage limits, output tokens, input tokens, reasoning tokens, tool use tokens, scheduling agents, agentic AI, model harness, Claude Opus, OpenAI GPT-5.5, Gemini 3.1 Pro, Anthropic models, artificial analysis intelligence score, DeepSuite benchmark, cost per intelligence, modular AI architecture, API overages, context window size, scheduled agents, human-in-the-loop, expert-driven loop, output monitoring, benchmarking AI models, economic value from AI, efficiency metrics, measuring ROI, AI model performance, cost per output, chain of thought, AI tool integration, AI cost management, long-running agents, dynamic data integration.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

June is here so guess what? It’s officially Hot AI Summer. 🔥

Case in point? 

On the other side of the world, Monday is already underway and NVIDAI has already shaken up the AI world with a big partnership with Microsoft. 

Speaking of Microsoft, they’re reportedly developing a Super App that could put them back on the AI innovation map. 

And while Anthropic shipped an impressive new model in Opus 4.8, OpenAI is about to ship out…. Robots? 🤖

We do the hard AI homework all week so you can reap the benefits of knowing all the AI News and why it matters. 

Join us to get caught up. 

Ep 788: Anthropic releases Claude Opus 4.8, NVIDIA’s big PC play, Microsoft’s upcoming Super App and more 

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

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Microsoft Copilot Super App Leak Breakdown
NVIDIA Nemotron 3 Ultra Model Release
NVIDIA and Microsoft ARM-Based AI Laptops
CEO Layoffs Blaming AI Critique
OpenAI and Anthropic Shift on AI Job Risks
OpenAI Robotics Initiative Relaunch
Anthropic Opus 4.8 Model Update Details
AI Model Feature Comparisons and User Feedback
Rapid-Fire AI Industry Updates and Rumors

Timestamps:

00:00 Microsoft's new super app plans
05:10 Discussing potential super app concept
09:43 Microsoft's AI laptop initiative
13:02 CEOs blame AI for layoffs
15:03 CEOs discuss AI's impact on jobs
17:58 Comparing AI predictions by leaders
23:27 OpenAI's robotics journey and investments
25:42 INTROPIC's latest model update
28:32 Evaluating language model performance
32:18 Tech news roundup and leaks
34:05 Upcoming AI Model Announcements

Keywords: 
Microsoft Copilot, Copilot super app, Copilot Cowork, GitHub Copilot, Copilot Autopilot, Microsoft Build Conference, AI model update, NVIDIA, Nemotron 3 Ultra, Open weights AI model, Jensen Huang, Computex, ARM-based CPU chips, RTX Spark, Local AI agents, Enterprise AI, Anthropic, Opus 4.8, Mythos model, AI benchmarks, Small model improvements, AI model honesty, AI job impact, CEO layoffs AI, Generative AI, White collar job automation, Sam Altman, Dario Amodei, OpenAI robotics, Sora video model, World simulation, Dactyl robotic hand, Figure AI, Tesla Optimus, Paid AI models, Meta AI, Snowflake AWS deal, Graviton chips, DeepSeek price reset, Robinhood agentic trading, DuckDuckGo no AI search, Google Gemini, Apple smart glasses, CNN copyright suit, Perplexity, GROC Imagine Video, Computer using agents, Copilot Health, AI-powered laptops, AI entrepreneurship, Gig work AI, NotebookLM canvas, MiniMax M3 model, Multimodal, 1M token context window, BioGPT Rosalind, CapEx data center jobs, Stock price layoffs, AI tools for business, AI-powered search, AI in healthcare, AI for trading, AI layoffs narrative
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

Sure, you didn’t miss Anthropic’s BIG Opus 4.8 drop. 🎁

- But, did you know that ChatGPT completely updated how team Agents work and (literally) no one talked about it? 
- Or that Google unlocked a (kinda secret) new way to have NotebookLM work for you? 
- Or that ElevenLabs just changed how the world communicates? 

You don’t have hours each day to know which of the hundreds of weekly AI updates are worth your time. We do. 

On our weekly AI Features Friday show we break down 7 Fresh Friday Features you can’t miss. 

Claude Opus 4.8, New Copilot Studio Agents, ChatGPT Agent Updates and 7 Other AI Features You Can Use Today — An Everyday AI Chat with Jordan Wilson

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Anthropic Claude Opus 4.8 Model Performance
Claude Opus 4.8 Token Efficiency & Pricing
Claude 4.8 Code Dynamic Workflows Overview
ChatGPT Workspace Agents Model Controls Update
Copilot Studio Computer Using Agents Launch
Microsoft 365 Copilot New WorkIQ UI
Google NotebookLM Google Drive Auto-Sync
Eleven Labs Dubbing v2 Emotion-Preserving Translation

Timestamps:

00:00 Anthropic's new AI model release
04:59 Discovering Google's notebook LM AI
07:00 Excited about Google audio summaries
10:03 Explaining GPD model updates
14:35 Introducing dynamic workflows in Claude
17:25 Computer using agents in Copilot
22:55 Improving Microsoft Copilot UI
26:23 Impressive text-to-speech update
29:55 Anthropic's adaptive thinking update
32:36 Overview of Claude Opus 4.8
34:27 Comparing AI model versions
39:10 Discussing cloud service limitations

Keywords: 
Claude Opus 4.8, Anthropic, AI model, AI benchmark, Claude Opus update, Claude code, Claude Code dynamic workflows, workspace agents, ChatGPT agent updates, GPT-4.5, OpenAI, Microsoft Copilot Studio, Copilot agents, agent updates, no-code agents, enterprise AI tools, Microsoft Build Conference, Google Drive sync, NotebookLM, Google Workspace, Gemini models, custom GPTs, multistep workflows, connected business tools, agentic skills, reasoning benchmarks, practical knowledge work, model effort control, parallel subagents, Copilot UI update, WorkIQ, progressive disclosure, context protocols, model thinking levels, automation scenarios, UI automation, credentials management, generative AI, Eleven Labs Dubbing v2, text-to-speech, multilingual dubbing, emotion preservation AI, content localization, video dubbing, audio to audio model, global business AI, agent orchestration, API credit usage, MCC protocol, AI cost efficiency, token usage, AI research, model selection, AI deployment, model capability comparison, model speed, fast mode, adaptive thinking, AI hallucinations, enterprise automation, agent builder, AI-powered workflow, model intelligence index, Copilot design, new Copilot features, productivity AI, software automation, web automation
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.

This is the Everyday AI episode we probably shoulda done a while ago.... 👇

Because as different as ChatGPT, Gemini, Claude and others actually are under the hood, they have really started to copycat each other over the past 6 months. 

Which means we finally have a set of concrete best practices to get the best outputs from any LLM. 

Join us as we boil thousands of hours of experience into a 30-ish minute crash course that you can't afford to skip out on. 

2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot -- An Everyday AI Chat with Jordan Wilson (Start Here Series Vol 26)

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
LLM Landscape: Cookie Cutter Model Trends
10 Essential Steps for AI Chatbots
Choosing the Right AI Operating System
Selecting Optimal AI Chatbot Surfaces
Importance of Paid AI Chatbot Plans
Understanding LLM Context Window Layers
Context Engineering and Prompt Best Practices
Integrating Files, Apps, and Company Data
AI Chatbot Privacy, Permissions, Governance
Transparency, Observability, and Reasoning Artifacts
Verification, Iteration, and Workflow Automation

Timestamps:

00:00 Keeping up with AI changes
03:55 Introduction to AI chatbots essentials
09:05 Rapid innovation in AI models
13:01 Understanding early AI models
14:37 Choosing an AI operating system
17:08 Discussing desktop app benefits
21:14 Understanding the context layer
23:55 Challenges without web search integration
28:55 Advancements in CRM connectors
32:35 Challenges with AI governance
35:13 Importance of observability in workflows
37:36 Developing universal AI skills

Keywords: 
large language model, LLM, AI chatbot, AI operating system, ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, open models, cheat code for LLM, AI best practices, prompt engineering, context engineering, context window, context layer, reasoning models, generative AI, deterministic vs generative, web search in AI, model selection, paid AI model, free AI model risks, AI surface, desktop AI app, agentic capabilities, AI connectors, app integrations, business data privacy, permissions and governance, shadow IT, enterprise AI, observability, transparency, reasoning artifacts, workflow automation, verification loop, iteration in AI outputs, skill creation, plugin, automated workflow, agentic orchestration, company data security, expert driven loop, AI scheduling, context carry, modular AI, AI-powered work automation, personalized context, role-based access control, SaaS application integration, economic value of AI, knowledge work automation, prime prompt polish, refine queue, five five five framework, human-in-the-loop AI, knowledge cutoff, model versioning.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 
Also, here's a link to the entire series on a Spotify playlist.