Multi-agentic AI is rewriting the future of work.... but are we racing ahead without checking for warning signs?

Microsoft’s new agent systems can split up work, make choices, and act on their own. The possibilities? Massive.

But it's not without risks, which is why you NEED to listen to Sarah Bird.

She's the Chief Product Officer of Responsible AI at Microsoft and is constantly building out safer agentic AI.

So what’s really at stake when AIs start making decisions together?
And how do you actually stay in control?

We’re pulling back the curtain on the 3 critical risks of multi-agentic AI and unveiling the playbook to navigate them safely.

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Topics Covered in This Episode:

1. Responsible AI: Evolution and Challenges
2. Agentic AI's Ethical Implications
3. Multi-Agentic AI Responsibility Shift
4. Microsoft’s AI Governance Strategies
5. Testing Multi-Agentic Risks and Patterns
6. Agentic AI: Future Workforce Skills
7. Observability in Multi-Agentic Systems
8. Three Risk Categories in AI Implementation

Timestamps:
00:00 Evolving Challenges in Responsible AI

05:50 Agent Technology: Benefits and Risks

09:27 Complex System Governance and Observability

12:26 AI Monitoring and Human Intervention

15:14 Essential Testing for Trust Building

19:43 Securing AI Agents with Entra

22:06 Exploring Human-AI Interface Innovation

26:06 AI Workforce Integration Challenges

28:22 AI's Transformative Impact on Jobs

Keywords:
Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.

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Wanna hear a lil secret?

You (likely) have no clue what custom GPTs are capable of inside of ChatGPT.

OpenAI just updated their capabilities, yet no one's talking about it.

Why?

The original hype and hoopla from their late 2023 launched fizzled and faded away, and now many AI users have written GPTs off.

Big mistake.

You won't believe what the newly upgraded GPTs are capable of.

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Topics Covered in This Episode:

1. Custom GPTs Launch & Initial Reception
2. Updated OpenAI Custom GPT Capabilities
3. Expanded Model Support for Custom GPTs
4. Business Applications of Custom GPT Updates
5. Live Demo of New Custom GPT Features
6. Insight Synthesizer GPT’s Unique Abilities
7. Meeting Actionizer GPT for Business Efficiency
8. Personalizing with the Updated GPT Models
   
   

Timestamps:
00:00 "Upgraded Custom GPTs Revolution"

04:52 GPT Building: Web Access Only

06:46 "Podcast Rambling Concerns"

09:56 Benefits of Using Custom GPTs

13:18 Using Custom GPTs and GPT Store

17:16 Simple AI Tool Usage Guide

21:32 Custom ChatGPT Limitations Explained

25:17 Exploring AI's Efficiency in Tasks

27:06 "AI Impact Dashboard for 2025"

32:03 GPT-4 vs. GPT-3: Agentic Abilities

35:33 Reasoning Models Enhance Meeting Analysis

36:53 AI Meeting Summary Features

40:40 Personalized NVIDIA Stock Insights

42:38 GPT Custom Models: New Developments

Keywords:
Custom GPTs, OpenAI updates, Expanded model support, No code creation, Custom actions, GPT store, Enterprise rollout, Recommended model, O3 model, O3 Pro model, GPT-4.5, Data storytelling, AI humanizer, Multimodal capabilities, Sentiment analysis, Thematic clustering, Research analyst, Meeting actionizer, Personalized learning architect, Financial snapshot, Web search, Canvas mode, Python coding, Boolean search, AGSentic reasoning, Chain of thought, Knowledge files, Fine-tuning, Domain expertise, Automated workflows, Generative AI, Creative marketing, Information synthesis, Meeting analysis, Decision automation, Webhooks, APIs, Knowledge tokenization.

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The AI drama is full tilt!

↳ Meta and OpenAI have all but declared a war on top tech talent.
↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base.
↳ Salesforce says AI is doing their own jobs for them.

And that's just the tip of the AI iceberg y'all.

Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. AI Talent War: Meta vs. OpenAI
2. AI Firms and Copyright Lawsuits Update
3. OpenAI Trademark Battle with IO
4. Eleven Labs' New Voice AI Launch
5. US Senate AI Regulation Deal
6. Anthropic's Claude Platform Features Update
7. Salesforce's AI Workload Integration
8. Google Gemini CLI Free Coding Tool
9. Meta's Aggressive AI Talent Recruitment
10. OpenAI's Strategy to Retain Researchers
    
    

Timestamps:
00:00 "AI News: Weekly and Daily Updates"

03:12 AI Copyright Lawsuits: Early Rulings

09:18 OpenAI-IO Trademark Dispute Unveiled

12:23 Futile Lawsuit Against New Gadget

14:21 "11 AI: Voice-Activated Task Assistant"

17:37 "AI Strategy and Education Solutions"

21:54 Federal AI Funding and State Regulation

25:05 States Must Forego AI Regulation

28:18 Anthropic Updates Claude with Artifacts

31:23 Claude vs. Google Usage Limits

37:17 Google Disrupts Coding with Free Tool

40:17 Meta's AI Talent and Business Strategy

44:20 OpenAI Responds to Meta Poaching

45:49 AI Developments: LLaMA and Grok Updates

49:14 OpenAI Faces Lawsuit Over IO

Keywords:
AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, Google

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Everyone wants the latest and greatest AI buzzword. But at what cost?

And what the heck is the difference between algos, LLMs, and agents anyway?

Tune in to find out.

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Topics Covered in This Episode:

1. Choosing AI: Algorithms vs. Agents
2. Understanding AI Models and Agents
3. Using Conditional Statements in AI
4. Importance of Data in AI Training
5. Risk Factors in Agentic AI Projects
6. Innovation through AI Experimentation
7. Evaluating AI for Business Solutions
   
   

Timestamps:
00:00 AWS AI Leader Departs Amid Talent War

03:43 Meta Wins Copyright Lawsuit

07:47 Choosing AI: Short or Long Term?

12:58 Agentic AI: Dynamic Decision Models

16:12 "Demanding Data-Driven Precision in Business"

20:08 "Agentic AI: Adoption and Risks"

22:05 Startup Challenges Amidst Tech Giants

24:36 Balancing Innovation and Routine

27:25 AGI: Future of Work and Survival

Keywords:
AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.

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Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.

Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.

You’re not thinking fast enough. AI’s already moved on.

While you’re making org charts and clinging to old playbooks, AI is rewriting business strategy in real time.

No legacy baggage.
No endless debates.
Just execution.

If you want to survive, you need more than AI tools—you need an AI mindset.

This episode is your guide.

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. AI Strategy vs Traditional Business Strategy
2. The Shift to AI Mindset in Business
3. Evolution of Machine Learning Accessibility
4. Impact of Generative AI on Business
5. AI Tools for Small and Large Businesses
6. AI Implementation for Business Efficiency
7. Overcoming Inertia with AI Thinking
8. AI's Role in Productivity Enhancement
   
   

Timestamps:
00:00 Outdated Strategies and AI Integration

04:39 AI Accessibility Transformation

06:40 Tech Accessibility Boosts Small Businesses

12:00 Evaluate Employee Efficiency Backwards

13:04 Defining Your Business Value Proposition

16:47 Breaking Inertia with AI Tools

22:06 AI Tools Enhance Productivity, Not Threaten Jobs

23:56 Try AI Tools Personally First


Keywords:
AI thinking, Traditional business strategy, AI mindset, AI implementation, Tech adoption, Machine learning, Data science, Generative AI, Large language models, Open source models, AI tools, Text summarization, News text summarizations, Extractive summarization, Abstractive summarization, BERT models, GPT models, AI accessibility, AI usability, AI adoption, Return on investment, AI tools for businesses, Business strategy, AI innovation, Productivity enhancement, Decision making process, Risk assessment, Small business AI, Enterprise companies, Business value proposition, Automation with AI, AI toolkit, Business growth with AI, AI-driven development, AI mindset adoption.

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No coding skills? No problem.

When using ChatGPT's Canvas, Google Gemini Canvas and Claude Artifacts, you can create interactive dashboards and bespoke web apps in a flash.

Ready to put AI to work for you this Wednesday?

Let's get it. (Oh, and we'll be able to break a lil news midway through!)

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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. No-Code AI Dashboard Creation Techniques
2. Google Gemini Canvas vs. ChatGPT
3. Claude Artifacts Interactive AI Tools
4. Business Analytics with AI Dashboards
5. Data Visualization in AI Platforms
6. Real-Time AI Tool Live Demo
7. Comparing AI Dashboard Functionality
8. Enhancements in AI Tool Responsiveness
   
   

Timestamps:
00:00 Everyday AI: Leverage for Business

03:25 "Exploring AI Modes and Examples"

09:11 Ready Check Before Starting

10:37 Boost Productivity with Custom Tools

15:23 Leveraging Public and Licensed Data

17:49 "Efficient Debugging Solutions"

21:01 "Spotting Blind Spots with AI"

26:17 "SONNET Over Opus Frustrations"

27:24 "Optimizing B2B Prospects with Opus"

30:33 "Growth Lab Insights: Content Amplification"

34:06 Evaluating AI Platforms

37:44 Podcast Update: Video Available Online

40:34 Growth Opportunity Radar Challenge

43:55 Analyzing Albatross Data Effectively

46:57 Upload Error with Fifth File

50:32 "AI as No-Code Development Partner"

Keywords:
No code interactive AI, Interactive AI tools, Canvas mode, Google's canvas mode, Chat GPT canvas mode, Claude artifacts, Business analytics tools, Data privacy, Data security, Large language models, Business growth, Custom software, Data visualization, Interactive dashboard, Cross channel trends, Actionable growth plays, Lead ID software, Marketing analytics, Content amplification engine, Search optimization, Content pillars, Open source AI, Coding tools, Data analysis, Machine learning models, AI-driven insights, AI development, Open-ended instructions, Business use case, Operational efficiency, User interface, Automated processes, Growth dashboard, Data export.

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Does AI cause brain rot? If you read media coverage of MIT's recent viral study, you'd think yes.

But that study completely missed the point of AI.

Join us to figure out the truth behind the study, and how you should be using AI to make sure it's more than brain rot.

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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. MIT Study on AI Brain Rot
2. Flaws in MIT's Viral AI Research
3. Media Sensationalism on ChatGPT
4. Proper AI Usage and Brain Health
5. Cognitive Debt Hypothesis and AI
6. Effective AI Tools for Critical Thinking
7. AI's Role in Skill Augmentation
8. AI in Education: Microsoft & Harvard Studies
   
   

Timestamps:
00:00 "Everyday AI: Podcast & Newsletter"

07:22 Media Misunderstands AI Research

11:00 Testing AI with Random Participants

13:43 "Students' Essays Rely on AI"

16:38 Critique of MIT Study

19:49 AI Use: Avoid Skill Erosion

23:15 AI Enhances Learning and Decision-Making

27:02 "AI: Tool or Shortcut?"

28:42 Augmented Intelligence Over AI Dependency

32:22 "No-Code AI for Business Growth"

Keywords:
AI brain rot, MIT study, ChatGPT brain activity, cognitive debt, memory failure, brainpower, large language models, ChatGPT essays, formulaic writing, AI brain impact, neural connectivity, creativity focus, thought partner, AI critical thinking, cognitive outcomes, AI study findings, ChatGPT users, bias in AI writing, educational outcomes, personalized AI tutor, AI and intelligence, AI shortcuts, brain augmentation, consultant AI use, interactive AI.

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