Ban AI? 🛑

Your employees are still going to use it.

Or if you think your teams are only going to use the 'approved' AI..... think again. Studies show that Shadow AI is an uncontrollable force.

So why don't AI bans work?

And what can you do about it to protect your company's data?

Join and we'll break it down.

Shadow AI: Why Banning AI Doesn’t Work & How to Protect Your Data -- An Everyday AI Chat with Jordan Wilson and Airia's Kevin Kiley (Replay)

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. AI Sprawl in Modern Enterprises
2. Shadow AI and Security Risks
3. Managing Unauthorized AI Tool Usage
4. Centralized AI Orchestration Platforms
5. Vendor Lock-In and Model Agility
6. Securing Agentic AI in Organizations
7. Financial Impact of AI Sprawl
8. Discovery and Audit for Shadow AI

Timestamps:

00:00 "Navigating AI Chaos"

04:31 AI Tool Mismanagement Risks

06:51 AI Security Risks Escalating

12:15 "Mastering AI for Business Growth"

13:58 "Managing AI Complexity and Security"

17:39 "Agility and Avoiding AI Lock-In"

22:30 AI Pilots' Production Failure Crisis

25:36 "AI Risks: Ambiguity and Security."

28:39 "AI Awareness and Discovery"

Keywords:

AI sprawl, shadow AI, unsanctioned AI tools, unauthorized AI usage, AI orchestration, AI security platform, enterprise AI management, central control plane, AI observability, AI guardrails, agentic capabilities, overly permissive agents, data security risks, prompt injection attacks, indirect prompt injection, AI vendor management, AI redundancy, financial impact of AI, AI ROI, AI spaghetti, model garden, model benchmarking, AI operational complexity, model deprecation, model procurement, vendor lock-in, multi-model environment, AI sandbox, secure AI environment, AI failover, modular AI setup, business continuity, AI outages, domain-specific models, Hugging Face, open source models, AI token consumption, cost efficiency, GenAI pilots, production AI, MIT GenAI divide report, shadow IT, AI discovery, AI risk mitigation, agentic AI and security, natural language manipulation, AI-driven cyberattacks, agent permissions, business process automation, role-based access control, compliance in AI deployment, technology integration.

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Why wasn't 2025 the year of the agents? 🙅

Cuz enterprise companies were trying to copy-and-paste human roles with general purpose agents that weren't ready.

But you know what won the agentic race?

Narrow, purpose-built agents. You know.... those built off large swaths of data to do one very specific thing well.

As a VP of Engineering at LinkedIn, Prashanthi Padmanabhan knows a thing or three about building agents with purpose.

And she joins Everyday AI to spill the enterprise AI agent secrets.

Purpose-Built Enterprise AI Agents: What Actually Works -- An Everyday AI Chat with Jordan Wilson and Prashanthi Padmanabhan

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Topics Covered in This Episode:

1. Purpose-Built Enterprise AI Agents Overview
2. General vs. Narrow AI Agent Use Cases
3. AI Agent Integration in LinkedIn Recruiter
4. Collaborative Human-in-the-Loop Agent Design
5. AI Agent Workflow Reverse Engineering
6. Building Trust in Agentic AI Implementation
7. Iterative Development with Customer Feedback
8. Measuring AI Agent Impact and Efficiency
9. Domain-Specific, Context-Driven AI Agents
10. Scalability Challenges for Enterprise AI Agents

Timestamps:

00:00 "AI Agents: Hype Vs. Reality"

05:21 "Optimizing Recruitment with AI Agents"

09:20 "Building Effective Recruiting Tools"

13:00 "Scoping Purposeful AI Solutions"

14:46 "Unlocking Talent with AI"

18:38 "Boost Business with AI Expertise"

20:27 "Purpose-Built Recruitment Intelligence"

25:56 "Boosting InMail Acceptance Efficiency"

28:52 "Building Effective Enterprise Agents"

29:51 "Building Trust Through User Experience"

Keywords:

AI agents, enterprise AI agents, purpose-built agents, narrow AI agents, general AI agents, AI assistant, recruiting AI agent, LinkedIn hiring assistant, LLMs, agentic technology, human-in-the-loop, recruiter automation, workflow automation, enterprise workflows, candidate sourcing, resume parsing, talent matching, AI-powered recruiting, hiring manager, conversational AI, AI trust, user experience, agent orchestration, domain-specific AI, model fine-tuning, data mining, personalized outreach, strategic recruiting, ATS integration, HR tech, context engineering, memory sophistication,

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Hate to say it: you're not using ChatGPT right. 🫣

We've helped millions better leverage the tech, and see the same common mistakes.

So, here's the no-nonsense guide on how to ACTUALLY use ChatGPT the right way in 2026.

(Because even the way you were using ChatGPT last month won't work anymore.)

Don't miss this show.

How to actually use ChatGPT in 2026: The 7 rules to quickly become a power user -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. ChatGPT Free vs Paid Model Breakdown
2. Importance of Using Thinking Models
3. Context Switching in ChatGPT Workflows
4. Projects and Custom GPTs for Productivity
5. Apps and Connectors for Business Data Integration
6. ChatGPT for Teams, Business, and Enterprise
7. Leveraging Chain of Thought Summaries
8. Live Demo: Building Dashboards with ChatGPT

Timestamps:

00:00 "Mastering ChatGPT: 7 Rules"

05:21 "Free GPT Model Limitations"

06:26 "$20 Opportunity Explained"

10:30 "Managing AI Subscriptions Overload"

14:16 "Custom ChatGPT Projects Explained"

17:59 "ChatGPT Apps: Learning Curve Insights"

19:20 "Choosing AI for Business Operations"

24:21 "Shorter Shows & Live Demos"

26:59 "AI Predictions via GPT Automation"

29:55 "Chain of Thought Summaries Explained"

33:36 "Canvas Mode SaaS Dashboard"

37:42 "Repost LinkedIn for Course Access"

Keywords:

ChatGPT, ChatGPT 2026, ChatGPT power user, ChatGPT thinking models, ChatGPT rules, Custom GPTs, Projects in ChatGPT, Context switching, Chain of thought summaries, ChatGPT teams, ChatGPT enterprise, ChatGPT business plan, AI at work, Competitive cheat code, Model router, GPT-5.2, GPT-5.2 instant, GPT-5.2 Pro, Deep research mode, Canvas mode, Apps with file search, Apps with deep research, Apps with sync, Connectors, Company knowledge, Google Drive integration, Structured workflows, AI operating system, Project memory, Shared GPTs, Large language models, Reasoning tokens, Prompt engineering, Context engineering, Multi-model AI, Data connectors, No code GPT builder, Custom instructions, Productivity with AI, AI dashboard, SaaS dashboard canvas,

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You still using AI to..... write emails? 🤔

You know these things can like.... access your dynamic data, plan, use tools and create work outputs just like us, right?

Chances are, you're still using LLMs like a back-and-forth chatbot straight outta November 2022.

But 2026 is gonna slap you in the face, because the rate of adaption is gonna be undeniable.

Join us for our first #HotTakeTuesday of 2026 for the 5 reasons why.

AI in 2026: 5 reasons why the pace of AI Adoption this year will far exceed 2025 -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. Five Pillars of 2026 AI Acceleration
2. Reasoning by Default in Large Language Models
3. Agentic Scaffolding for Autonomous AI Execution
4. Frictionless Data Integration with RAG Pipelines
5. Exponential AI Task Endurance Metrics
6. AI Models Delivering Economically Meaningful Work
7. GDP Valve Benchmark for Enterprise AI
8. Advanced Front-End LLMs vs Old Transformer Models

Timestamps:

00:00 "AI's Untapped Potential in 2026"

05:32 "Embracing AI as Team OS"

08:50 "Evolution of Reasoning AI Models"

12:34 "Enhanced AI Tools and Scaffolding"

16:04 "Gemini Versions and Data Grounding"

19:24 "Measuring AI Task Proficiency"

21:07 "Exponential Growth of AI Models"

25:56 "Can ChatGPT Create Spreadsheets?"

29:10 "Benchmarking AI for Economic Impact"

30:51 "LLMs Outpace Humans in Efficiency"

34:05 "Everyday AI: Subscribe & Thrive"

Keywords:

AI in 2026, pace of AI adoption, frontier AI capabilities, enterprise automation, agentic scaffolding, reasoning models, hybrid reasoner, large language models, economically meaningful work, AI agents, ChatGPT, Claude Opus 4.5, Google Gemini 2.5, Anthropic, OpenAI CEO of applications, Fiji Simo, proactive super assistant, operating system for enterprises, task endurance, exponential task duration, RAG pipeline, data integration, connectors, integrations, personalized AI, business context, knowledge workers, problem-solution AI, coding capabilities, METR, model evaluation and threat research, 50% time horizon,

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Meta just made a multi-billion acquisition for AI agents. 🤖

OpenAI might wanna make pens and buy .... Pinterest? 🎯

And why is Grok generating explicit images of minors? 🤮

Weird (and gross) week in AI.

If you missed anything, don't worry. On Mondays, we bring you the AI News that Matters so you can be the most up-to-date person in your company when it comes to AI.

Meta buys AI agent giant, Grok under fire for explicit images of minors, OpenAI building pens and more -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Meta Acquires Manus AI Agent Startup
2. OpenAI Eyes Pinterest Acquisition for Image Data
3. AI Agents: Manus and GenSpark Enterprise Investments
4. LM Arena 2025: Gemini 3 Pro Rankings
5. Google Gemini 3 Pro Multimodal Performance
6. Grok Under Fire for Explicit Minor Images
7. Anthropic’s Claude Code AI Self-Development
8. OpenAI Building AI-Powered Smart Pen
9. CES 2026 AI-Driven Hardware Announcements
10. SoftBank Completes $41B OpenAI Investment

Timestamps:

00:00 "Everyday AI News & Insights"

03:19 "Meta Acquires AI Startup Manus"

07:12 "OpenAI Eyes Pinterest Acquisition"

11:24 "Google Gemini 3 Pro Triumphs"

14:34 "CES 2026 Kicks Off"

19:50 "AI Solutions for Business Growth"

25:34 "Claude Code Now Accessible Broadly"

28:33 "OpenAI Explores AI Hardware Concepts"

32:50 "SoftBank Completes $41B OpenAI Investment"

33:44 "Big AI Announcements Coming"

Keywords:

Meta acquisition, AI agent startup, Manus, Super agents, Multibillion dollar tech deal, General use AI, Meta AI agents, Manus Singapore, AI research automation, Anthropic, Alibaba, DeepSeek, Silicon Valley AI, Meta AI strategy, Google AI, Microsoft AI, OpenAI acquisition, Pinterest purchase, AI-powered visual platform, Image data, AI and online shopping, AI advertising, Ad suite, Pinterest Performance Plus, User purchase intent, ChatGPT, Agentic commerce, AI search, Conversational AI, Social advertising, Gemini 3 Pro, Google Gemini, Multimodal vision, Coding performance, Claude Opus 4.5, Text-to-image model, GPT Image 1.5, Nano Banana Pro, CES 2026,

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Might internal memos be a thing of the past?

When you can just build something as fast as writing a memo about it, why wouldn't you just build the demo?

In this episode of Everyday AI, we sit down with Google Cloud’s Richard Seroter to break down five simple ways to use AI with Google. No technical background needed.

We talk faster research, better learning, building ideas without overthinking, and why “demos over memos” might change how teams work.

If you want practical, no-BS ways to actually use AI in your day‑to‑day, this one’s worth a listen.

5 Practical AI Workflows That Actually Matter -- An Everyday AI Chat with Jordan Wilson and Google's Richard Seroter (Replay)

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

1. Five Practical AI Workflows with Google
2. Gemini Deep Research for Rapid Analysis
3. NotebookLM AI-Powered Knowledge Exploration
4. Gemini CLI and Code Assist for Developers
5. Google Jewels Autonomous Coding Agents
6. AI Change Management and Workflow Automation
7. Gemini's Contextual Integration with Email and Calendar
8. Gemini and Agentic AI Across Google Products

Timestamps:

00:00 "Simple AI Strategies for Workflows"

06:14 "Embracing AI-First Thinking"

08:49 "Effective Strategies for Deep Research"

11:24 "Context Engineering with LLMs"

15:32 "Unlocking AI's Business Potential"

17:33 Simplifying Complexity with AI

21:21 "Everyone's a Builder Now"

24:54 "Building AI Tools for Everyone"

28:06 "Communicating Intent to AI Agents"

30:16 "AI: The Smarter Interface"

33:30 "Everyday AI: Wrap-Up & Subscribe"

Keywords:

Gemini Deep Research, Google AI, generative AI, AI workflows, Google Cloud, NotebookLM, AI strategies, AI transformation, change management, contextualized AI, agentic work, AI-powered research, personalized AI, deep research tools, collaborative AI agents, AI in business, AI for analysis, large language models, AI for everyday business leaders, Gemini CLI, code assist, AI coding agent, Google Jewels, autonomous AI, background AI teammate, context engineering, integrating AI in workflows, AI for HR, marketing AI, AI-powered knowledge management, learning with AI, AI onboarding, student AI tools, spec driven development,

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Bet you didn’t know you could do THAT in Google Sheets. 👀

You mighta slept on this the past few months, but AI functions are live inside of Google Sheets thanks to Gemini.

I know what you're saying... AI functions? I can barely spread the sheets! Lolz.

That's the beauty of it. With a simple =AI of your keyboard, you can talk to your spreadsheets in natural language and tap into the full power of Google Gemini.

Don't worry.... we're gonna put it to Work this Wednesday together.

Google Sheets and Gemini: 5 ways to use Gemini AI to save time and work smarter — An Everyday AI Chat with Jordan Wilson (replay)

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. Gemini AI Integration with Google Sheets
2. Core Functions: Formulas, Tables, Data Visualization
3. Natural Language Prompts in Sheets
4. Contextual Analysis from Gmail and Drive
5. Instant Dashboard and Chart Generation
6. AI-Powered Sentiment Analysis in Spreadsheets
7. Content Creation and Automation at Scale
8. Spotting Non-Obvious Data Trends with Gemini

Timestamps:

00:00 "Free Daily AI Newsletter"

05:01 "Google Gemini Access and Features"

07:16 "AI Gemini Tricks in Sheets"

10:03 "Streamlining Insights with AI"

13:06 "AI Unlocks New Possibilities"

18:41 "Streamlined Data Insights with AI"

21:44 "Sentiment Analysis with Gemini"

26:35 "Content Machine Overview"

28:09 "Gemini's Competitive Analysis Capabilities"

32:57 "Model Analysis and Insights"

34:15 "Optimizing Titles for Niche Topics"

36:55 "LinkedIn Repost for Sora Access"

Keywords:

Gemini in Google Sheets, Gemini AI, Google Sheets AI integration, AI in spreadsheets, Google Workspace, AI function in Sheets, spreadsheet automation, natural language prompts, formula generation, data analysis, AI-powered dashboards, sentiment analysis in spreadsheets, generate tables with AI, AI chart creation, visualize data with AI, data organization with AI, contextual integration, summarize spreadsheet content, pull data from Gmail and Drive, AI for business productivity, Google Gemini rollout, create dashboards automatically, spreadsheet time-saving tips, content creation at scale, custom AI functions,

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One of the scariest parts of AI? 😰

Who (or what) gets left out.

As a result, LLM outputs are heavily skewed toward the perspectives and content most common in their training data and the people who supervise them.

Which is almost always an absolutely terrible thing.

So, who gets written out of the AI future? And how do we fix it?

Join us to find out.

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. Over-Reliance on AI in Daily Life
2. Marginalized Groups Excluded from AI Future
3. AI Reflecting Societal Biases and Blind Spots
4. Responsibility for AI Training Data and Bias
5. Dangers of "AI Slop" and Unedited Content
6. Biased AI Moderation and Platform Challenges
7. Importance of Human Oversight in AI Outputs
8. Avoiding AI Echo Chambers and Algorithmic Divide
9. Trust and Quality Concerns with AI Content
10. Amplifying Diverse Voices in AI Leadership

Timestamps:

00:00 "AI Reliance and Ethical Risks"

03:37 "Inclusion in AI Conversations"

06:32 "Shared Responsibility for AI Change"

11:03 "AI Bias Against Black Hairstyles"

15:02 "Growing Businesses with Generative AI"

16:21 "For Us, By Us"

20:07 Preventing AI Echo Chambers

25:14 "Rethinking Leadership and AI Use"

26:46 "Everyday AI Wrap-Up"

Keywords:

AI bias, large language models, marginalized voices in AI, representation in AI, diversity in AI, AI and identity, technology and power, algorithmic bias, training data bias, cultural competence in AI, AI exclusion, social media moderation algorithms, biased AI moderation, racial bias in AI, gender bias in AI, queer representation in AI, trans representation in technology, working class and AI, age bias in AI, responsible AI use, AI content creation, AI slop, human in the loop, human-centered AI, ethical AI, trust in AI, AI and creativity, AI echo chambers, personalization in AI models, AI-generated content, voice amplification in technology, AI-powered surveillance, inverse surveillance, AI leadership, tech activism, AI for social good, AI media trust, challenge in AI adoption, AI community guidelines, inclusion in technology, future of AI representation, multi-agent orchestration, responsible AI auditing, training data selection, human feedback in AI, algorithmic transparency.

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