Everyday AI Podcast – An AI and ChatGPT Podcast

Let's talk about the AI elephant in the room: hallucinations. 🐘

Maybe hallucinations are the reason your company has been hesitant on AI. 

But here's the thing, y'all. If you know what you're doing, hallucinations are largely manageable. 

But first, you gotta understand what they are, how they happen, and how to reduce the risk. 

Let's get started cutting down hallucinations together. 

AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5) -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
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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 Hallucinations Definition and Causes
Large Language Models' Hallucination Mechanisms
Hallucination Types: Fabricated Claims & Sources
Model Improvements Reducing Hallucination Rate
Context Window Impact on AI Accuracy
AI Hallucinations in Legal and Enterprise Settings
Four-Layer Method for Minimizing Hallucinations
Custom Instructions and Retrieval-Augmented Generation
Expert-Driven Verification and Agent Safety Practices

Timestamps:

00:00 "Modulate's Velma: Smarter AI Insights"
03:18 "Reducing AI Hallucinations Explained"
08:36 "Minimizing AI Hallucinations with Skill"
12:30 "Model Retention and Recall Decline"
13:23 AI Advances: Improved Accuracy and Recall
19:24 "AI Hallucinations and Their Causes"
21:07 "Customizing AI Behavior Effectively"
24:47 "Connecting Data to Reduce Hallucinations"
28:47 "AI Oversight and Expert Input"
30:56 "Reducing AI Hallucinations Simplified"

Keywords: 
AI hallucinations, large language models, next token prediction, AI error, human error, fabricated claims, reinforcement learning with human feedback, context window, context engineering,
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Spending more time fixing your AI outputs then you're saving? 

You're not alone. 

The trap? 

You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. 

The real winners in the AI race? 

Companies that have changed the human-AI relationship. 

How? 

Join us for Volume 4 of our Start Here Series as we uncover what you need to know. 

Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join the discussion 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:
Human-AI Collaboration Best Practices 2026
Shift from Operator to Orchestrator Roles
Human-in-the-Loop Limitations Explained
Expert-Driven AI Review Loops vs. Generic Oversight
Orchestrating AI Agents for Business Productivity
Building Reusable AI Context and Skills
Elevating AI Champions on Team
Human Strengths vs. AI Strengths in Workflows
Avoiding Augmentation Debt and Workflow Pitfalls
Mindset Shifts for Effective AI Management

Timestamps:

00:00 "Everyday AI: Start Here"
03:23 "AI Shift: Operator to Orchestrator"
06:35 "Unlearn to Harness AI"
11:15 "AI Surpassing Human Collaboration"
15:11 Expert-Driven AI Process Loops
18:10 "Expert Collaboration Boosts AI ROI"
23:59 "Outsmarting AI Through Expertise"
26:30 "Navigating AI Success Strategies"
31:19 "Embrace AI, Elevate Your Team"
32:18 "Embrace AI, Elevate Humanity"

Keywords: 
Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.
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One of the biggest mistakes in AI? 

Thinking that your company's AI use is noteworthy. Or, even a competitive advantage. 

It's not. 

We break it down in Volume 3 of our 'Start Here Series.' 

AI as an Operating System: LLMs Are the Internet Now -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join the discussion 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 As An Operating System Explained
Large Language Models Replace Traditional Apps
AI Integration in Knowledge Work Platforms
Choosing the Right AI Operating System
Microsoft Copilot vs. Google Gemini vs. Claude vs. ChatGPT
Agentic Browsers Powering Autonomous Workflows
Model Context Protocol (MCP) for AI Agents
Orchestration Layer and Agent Collaboration
ChatGPT Apps Merging AI and Internet
Enterprise Data Integration with AI Tools
Context Switching Reduction Through AI Agents
Strategic AI Adoption and Platform Redundancy

Timestamps:

00:00 "AI: A New Operating System"
03:58 "AI Transforming Work Interfaces"
06:41 "Collaborating in AI-Native Workspaces"
12:25 Anthropic's Innovations in AI Tools
13:46 "OpenAI's Strategy and Market Focus"
18:02 "Cognitive Evolution Through AI"
20:57 "Agentic Browsers: Key 2025 Advancement"
25:12 Improving Content Through Data Insights
26:42 "Anthropic's MCP: The AI Connector"
32:19 "AI Tools for Productivity Integration"
34:20 "AI: Unlocking Context and Efficiency"
36:32 AI Governance and System Portability
39:35 "AI Operating System Insights"

Keywords: 
AI operating system, large language models, LLMs, AI as infrastructure, enterprise AI, AI adoption, agentic workflows, AI agents, orchestration layer, Copilot, Microsoft 365 Copilot, Google Gemini, Gemini business, Gemini enterprise, Anthropic Claude, Claude cowork, MCP, model context protocol, OpenAI, ChatGPT, ChatGPT apps, ChatGPT business, ChatGPT enterprise, AI native, dynamic data integration, productivity with AI, collaboration tools, agentic browsers, autonomous AI agents, context window, memory and personalization, expert-driven loops, app hop tax, context switching, AI integration in business, AI tools for teams, AI platform selection, data governance, modular AI workflows, permissions and audit logs, backup and redundancy in AI, competitive advantage with AI, 
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The AI gap will kill companies.

What is it? 

it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for. 

And one of the biggest reasons for the AI gap? 

Talking. 

Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing. 

You wanna talk to your AI team about LLMs? 

PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production. 

Yeah, the divide is WIIIIIDE. 

So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join the discussion 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 Jargon Barrier for Business Leaders
Generative AI Basics and Lingo Breakdown
ChatGPT, Claude, and Gemini Model Comparison
Understanding Tokens and Context Windows
Large Language Models: Prompt to Outcome
Parameters, Model Power, and Cost Implications
Retrieval Augmented Generation (RAG) Explained
Embeddings, Vector Databases, and Chunking
Agentic Models vs. Transformer Models
AI Risks: Hallucinations, Prompt Injection, Guardrails
Model Context Protocol (MCP) and Connectors
Scaffolding for Complex AI Workflows
AI Success: ROI, Risk, and Implementation Strategies

Timestamps:

00:00 "Join Start Here Series Community"
03:21 Bridging AI and Business Leaders
09:35 Partnering for Generative AI Success
12:26 "AI Models Operate Using Tokens"
15:41 "Shift to Smaller AI Models"
18:56 "Understanding RAG and Its Impact"
22:38 "AI Tools Connecting via MCP"
24:56 "Minimizing AI Hallucinations Effectively"
28:45 "Fast, Careful AI Implementation"
30:53 "AI Guide for Business Leaders"

Keywords: 
AI language, AI jargon, artificial intelligence terminology, AI lingo, large language model, generative AI, prompt engineering, context engineering, context window, tokens, tokenization, model architecture, model parameters, neural network connections, 
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Have you ever felt overwhelmed by AI? 
Like…. There’s certain aspects of Artificial intelligence that you barely understand to begin with, yet you’re expected to use it AND it’s changing every day? 
I understand where you’re coming from. It’s literally my only job to use, build with and teach AI every day and that’s all I’ve done now for 3 years, and even I find it hard to keep up. 
But don’t worry. 
That’s where the ‘Start Here Series’ comes into play. 
If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. 
In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.

Other Start Here Series Episodes
Ep 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)
(In the future, we'll update with other 'Start Here Series' episodes)

Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle Community
More on this Episode: Episode Page
Join the discussion 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:
Generative AI Basics and 2026 Impact
Explosive Growth of Large Language Models
AI Adoption Rates in Enterprises
AI Agents and Operating Systems Overview
History and Evolution of Artificial Intelligence
Transformer Architecture and Model Breakthroughs
How Large Language Models Work
Modern AI Capabilities: Multimodal Tools
Quantifying ROI for Generative AI Investment
Workforce Disruption and Future Job Trends
Scaling AI: From Pilot to Enterprise-Wide
Urgency for AI Upskilling and Competitive Advantage

Timestamps:

00:00 "Start Here: AI Guide Series"
04:10 "Join Our Free Community"
09:17 "AI Operating Systems for Businesses"
11:05 "Partner with Everyday AI"
13:00 "AI Evolution Over Decades"
16:34 "ChatGPT's Transformative Impact"
22:17 "Generative AI and Memory Evolution"
26:03 "AI Delivers Exponential ROI"
29:59 "AI Demand Surges, Hiring Drops"
32:15 "AI Transforming CRMs Rapidly"
35:01 "AI Fluency Demands Urgency"

Keywords:

Generative AI, artificial intelligence, large language models, transformer architecture, GPT, ChatGPT, 
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