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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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. 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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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: info@youreverydayai.com
Connect with Jordan on LinkedIn

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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