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    Technology

    Everyday AI Podcast – An AI and ChatGPT Podcast

    The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI.

    The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who’s now the owner of a boutique digital strategy company with 20 years of martech experience.
     
    Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output. 

    Start Here Series Inner Circle Connect
    – Make sure to sign up for our daily newsletter at: https://youreverydayai.com
    – Email us: info@youreverydayai.com
    – Connect with Jordan on LinkedIn: https://www.linkedin.com/in/jordanwilson04/

    In the Everyday AI podcast, we’ll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We’ll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML. 

    Advertise

    Copyright: © 2024 Everyday AI Podcast – An AI and ChatGPT Podcast

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    5 Practical AI Workflows That Actually Matter Jan 02, 2026
    Show notes

    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)


    Newsletter: Sign up for our free daily newsletter
    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: 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,


    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    Google Sheets and Gemini: 5 ways to use Gemini AI to save time and work smarter Dec 31, 2025
    Show notes

    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)


    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    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,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    Who Gets Written Out of the AI Future? Dec 30, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    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.

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    NVIDIA’s $20 billion AI bet, Amazon adds big AI partners, Microsoft’s Copilot failures and more Dec 29, 2025
    Show notes

    A $20 billion AI deal while you were away? 🤯
    Yes.
    Even though this week may be considered a 'slower' week in AI news.....
    ↳ NVIDIA made a splash with a $20 billion pseudo acquisition
    ↳ Amazon partnered with some big names for its Alexa+ and
    ↳ Microsoft's Copilot is reportedly struggling so much that its CEO is acting as a product manager.
    Miss anything?
    Don't worry, in our weekly 'AI News That Matters' series, we'll get you caught up in no time.

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. NVIDIA's $20 Billion Grok Acquisition Details
    2. Grok LPU Chip Integration and Impact
    3. MiniMax M2.1 Model Multilingual Coding Benchmark
    4. OpenAI Prompt Injection Security Update
    5. Amazon Alexa Plus Adds Expedia, Yelp, Square
    6. Social Security Risks from Accelerated AI Job Loss
    7. Microsoft Copilot Failures and CEO Intervention
    8. Quick Roundup: AI Model Releases & Regulatory News


    Timestamps:

    00:00 "Impactful Week in AI News"

    03:33 "NVIDIA Absorbs Grok via Licensing"

    09:51 "Open-Source Coding Model Breakthrough"

    11:37 "AI Agent Security Threats"

    14:42 Alexa Plus Gets Major Upgrade

    19:26 AI Disrupting Jobs, Social Security

    20:57 Microsoft CEO Fixing Copilot Failures

    26:26 AI Updates: Models, Milestones, Expansions

    27:39 "Weekly AI News Highlights"


    Keywords:


    NVIDIA, $20 billion AI acquisition, Groq, inference chips, IP licensing, AI chip market, LPU processors, AI hardware, Jonathan Ross, Sonny Madra, federal oversight, antitrust review, Groq cloud platform, domain specific models, mixture of experts, MOE architecture, OpenAI, compute demand, MiniMax, M2.1 model, state of the art coding AI, open source AI, sparse mixture of experts, SweeBench multilingual benchmark, Gemini 3 Pro, Claude Sonnet 4.5, multilingual coding model, Java coding AI, Rust coding AI, Go coding AI, non Python coding model, agentic browsers, prompt injection attacks, AI agents, Atlas browser, Perplexity, LLM-based security, Alexa Plus, Amazon voice assistant, Expedia integration, Angie's List, Square voice payments, Yelp booking, enterprise automation, gig work economy, McKinsey AI report, payroll tax base, Social Security, Microsoft Copilot, Satya Nadella,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    ChatGPT Ads: 9 Reasons why personalized ads are coming to ChatGPT soon. (Replay) Dec 23, 2025
    Show notes

    ChatGPT ads are coming y'all. 📰
    They’re gonna be both crazy intrusive yet also pretty useful.
    That’s a given.
    But the real hot take here: personalized ChatGPT ads are actually gonna change how the internet works and conversational commerce is going to be the new norm.
    Every single company — including yours — is going to have to quickly adapt.
    We lay out how, as well as the 9 reasons why we’re confident ChatGPT ads based on your account will be rolling out soon.
    ChatGPT Ads: 9 Reasons why personalized ads are coming to ChatGPT soon — An Everyday AI Chat with Jordan Wilson (Replay)

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. ChatGPT Personalized Ads Hot Take Overview
    2. OpenAI's Burn Rate and Monetization Need
    3. Sam Altman's Shift on AI Advertising
    4. ChatGPT Free Users Data Monetization
    5. Memory Personalization Engine and Chat History
    6. OpenAI Staff Changes Boost Ad Strategy
    7. Atlas Browser User Data Control
    8. ChatGPT Apps and Cross-Platform Data Integration
    9. ChatGPT Pulse and Proactive Ad Delivery
    10. Agentic Commerce Protocol for In-Chat Purchases
    11. Affiliate Commissions and Ad Transparency Concerns
    12. Conversational Commerce vs Traditional Ads
    13. First Mover Advantage in ChatGPT Ad Platform
    14. Ethical Concerns with Personalized ChatGPT Ads


    Timestamps:

    00:00 "Personalized ChatGPT Ads Incoming"

    05:15 "AI Ads: A Necessary Shift"

    08:57 OpenAI's Shift to Personalized Ads

    09:44 "OpenAI's Integrated Commerce Tools"

    14:51 "Tech Giant Struggles for Profitability"

    17:02 OpenAI's Path to Dominance

    21:01 AI Memories and Ethical Concerns

    24:07 "Free Plans and Data Privacy"

    26:44 "ChatGPT Apps and Data Sharing"

    31:23 "OpenAI's Affiliate Links Concerns"

    34:05 "Trust and Transparency in AI"

    37:51 "AI: Transforming Advertising Dynamics"

    39:45 "AI Ethics and Future Challenges"

    42:05 "AI Ads Toolkit"


    Keywords:


    Personalized ChatGPT ads, ChatGPT advertising, conversational commerce, OpenAI, Sam Altman, AI monetization, ad personalization, ChatGPT memory, ChatGPT browser, Atlas browser, ChatGPT apps, ChatGPT Pulse, agentic commerce protocol, instant checkout, affiliate commissions, Stripe partnership, Walmart, Etsy, Shopify, free user monetization, OpenAI burn rate, market cap, SoftBank investment, digital advertising,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    ChatGPT’s Image 1.5 winning, Google launches Gemini 3 Flash, Meta going after Google and more Dec 22, 2025
    Show notes

    You're winding down for the year? 🥱
    AI had one its biggest weeks yet, so listen up before you clock out.
    Yeah, we're winding down for the holidays in the U.S.
    Buuuuuuuut, we had huge releases from OpenAI, a shocking model from Google, and news that Meta maybe going after Nano Banana.
    Sleep through this week, and you'll wake up in 2026 feeling months behind. Don't waste time, on Mondays, we only bring you the AI News That Matters.
    ChatGPT’s Image 1.5 impresses, Google launches Gemini 3 Flash, Meta going after Google and more AI news -- An Everyday AI Chat with Jordan Wilson

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. OpenAI and Amazon $10B AI Partnership Talks
    2. Microsoft-OpenAI Partnership Structure Update
    3. Meta's Mango and Avocado AI Model Launch
    4. Anthropic Claude Chrome Plugin Public Release
    5. OpenAI's ChatGPT App Store Launch
    6. Google Gemini 3 Flash Model Default Rollout
    7. US Department of Energy Genesis Mission Partners
    8. Google NotebookLM Gemini 3 Integration and Updates
    9. OpenAI GPT-4 Turbo Image 1.5 Benchmarks
    10. Meta, Google, Amazon AI Competitive Positioning


    Timestamps:

    00:00 "Everyday AI: Insights & Updates"

    03:38 OpenAI Expands Partnerships, Funding Soars

    09:53 "AI Shifts and Strategies Discussed"

    12:03 "OpenAI App Guidelines Explained"

    14:49 Gemini 3 Flash Surpasses Pro

    20:35 Gemini 3 Powers Notebook Integration

    23:51 "OpenAI's New Image Model Released"

    25:00 "GPT Image 1.5 Leads"

    30:48 Tech Updates: Google, Amazon, AI

    31:52 "Stay Competitive with AI Advancements"


    Keywords:


    OpenAI, Amazon partnership, $10 billion AI investment, AWS AI chips, OpenAI capital raise, Microsoft OpenAI partnership, Google Gemini 3 Flash, Gemini app, Gemini coding benchmarks, Gemini multimodal, Gemini 3 Pro, reinforcement learning, Meta Mango, Meta Avocado, Meta image model, Meta video model, Meta large language model, proprietary AI models, Anthropic, Claude Chrome plugin, Claude 4.5, agentic models, agentic browser, Perplexity, OpenAI Atlas, Chrome extension, App store launch, ChatGPT apps, third party app submissions, Canva app integration, Photoshop app, GitHub app, Replit app, Gmail integration, Mailchimp, Stripe,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    Ep 677: The 3 Big Obstacles Holding AI Adoption Back Dec 19, 2025
    Show notes

    Jeetu Patel knows a few AI secrets.

    As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap.

    At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies.

    So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks.

    And naturally, Jeetu is gonna share it all with us.

    The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu Patel

    Newsletter: Sign up for our free daily newsletter
    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: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. Enterprise AI Adoption Rates & Challenges
    2. AI Workflow Automation Phase Explained
    3. Three Big Obstacles to AI Adoption
    4. Infrastructure Constraints for Enterprise AI
    5. Trust Deficit in AI Systems
    6. Data Gaps Impacting AI Success
    7. Measuring ROI on Enterprise AI Deployment
    8. Future Trends: Agentic AI and Original Insights


    Timestamps:

    00:00 AI Adoption Challenges in Enterprise

    05:18 AI Adaptation: The Key Strength

    08:56 AI Infrastructure and Trust Challenges

    10:23 Building Trust and Harnessing Data

    13:27 Unsatiated Demand Signals Growth

    19:12 Proactive AI Model Safeguards

    22:07 AI Strategy and Business Growth

    26:09 Key Metrics for AI Success

    28:10 Guardrails for AI Vulnerabilities

    31:34 AI Unlocking Revolutionary Discoveries


    Keywords:


    AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprises

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    2025 AI Roadmap Rewind Human vs Machine, AI Models Shrink, and AGI No One Noticed Dec 18, 2025
    Show notes

    Did AI end up being a political force this year? 🤔
    Did AI kill start to kill off influencers?
    Did we achieve AGI in 2025?
    We take our AI predictions seriously. And in January of this year, we made some kinda hot-take predictions about the above and more.
    How did we do?
    Tune in for Part 2 of our 2025 AI Roadmap Rewind as we give a State of AI and see if we were your AI BFF or if we led you astray.
    2025 AI Roadmap Rewind Human vs Machine, AI Models Shrink, and AGI No One Noticed -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.
    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. Anthropic $1.5B Copyright Lawsuit Settlement
    2. AI Influencers Replace Human UGC Content
    3. Non-Technical Vibe Coding Software Trend
    4. Enterprise Reasoner Wrappers in AI Adoption
    5. Rise of Virtual Machines for AI Agents
    6. Political Impact of AI on US Policy
    7. Global AI Regulations and EU AI Act
    8. Narrow AI Agents Drive Business Value
    9. LLM Memory and Context Advances in 2025
    10. Shift: Large Language Models to Small Models
    11. Mixture of Models Approach for Enterprises
    12. AGI Benchmarks Surpassed, Yet Goes Unnoticed


    Timestamps:
    00:00 "AI Insights and Predictions"

    04:02 $1.5B Anthropic Copyright Settlement

    08:19 "Rise of AI Influencers"

    11:37 "Google's Experimental App Generator"

    14:05 "Reasoning Models and Enterprise Growth"

    17:35 Trump's AI Policy Shift

    22:32 "Narrow AI Revolution in Progress"

    24:42 "Memory Advancements in Technology"

    30:20 "Mixture of Experts Explained"

    32:15 "Model Fusion Beats Best Score"

    36:22 "AGI Wins IMO Gold"

    37:40 "Testing AI IQ Progression"

    43:07 "GPT-5.2: Human-Level Expertise"

    44:17 "AI Outperforms in Valuable Work"


    Keywords:
    2025 AI roadmap, AI predictions, Artificial General Intelligence, AGI, AI copyright case, Anthropic lawsuit, $1.5 billion settlement, OpenAI and Disney partnership, AI influencers, AI avatars, user generated content, UGC, Lil Mikaela, AI influencer industry, TikTok Symphony Gen AI, Meta AI ad tools, HeyGen, Synthesia, Hour One, Veo, Sora, Cameos, nontechnical AI development, vibe coding, Andrej Karpathy, Gemini Canvas, ChatGPT Canvas, Claude artifacts, Cursor, Windsurf, Antigravity, Google Codex, AI Studio, low code AI tools, reasoner wrappers, business agency layer, agent frameworks, virtual machines, cloud PCs for AI agents, Project Mariner,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    Creative Frameworks for Problem-Solving with Generative AI Dec 17, 2025
    Show notes

    Don't lie -- when you open ChatGPT, you're looking for a quick copy-and-paste solution.
    We've all been there.
    What if I told you that was kinda the worst way possible to use some of the world's most powerful technology.
    Spoiler alert: it kinda is.
    Make sure to catch today's episode for some creative frameworks to change how you use LLMs.
    Creative Frameworks for Problem-Solving with Generative AI -- An Everyday AI Chat with Jordan Wilson
    (PS - Was hoping to have the PT. 2 Roadmap review ready to go, but feeling under the weather. Pt 2 will drop soon!)


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.
    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. Creative Frameworks for Generative AI Problem Solving
    2. Human Agency vs. AI Efficiency Debate
    3. Using Large Language Models as Thought Partners
    4. Prompt Engineering vs. Context Engineering Evolution
    5. Generic Parts Technique for Abstract Thinking
    6. SCAMPER Framework for Business Innovation
    7. Human-AI Collaboration: Enhancing Creative Outputs
    8. Overcoming Cognitive Biases in AI-Assisted Strategy


    Timestamps:
    00:00 "Using AI as Thought Partner"

    04:06 "AI's Role in Creative Problem-Solving"

    08:13 "Broadening Problem-Solving Approaches"

    13:11 "Using Multiple Tools for Insight"

    15:07 "SCAMPER Framework Explained"

    17:32 "Rethinking Problems with SCAMPER"

    22:24 "Embracing Difference in Expertise"

    24:45 "Building Creative Confidence"


    Keywords:
    Generative AI, problem solving frameworks, creative frameworks, large language models, AI thought partner, augmenting human intelligence, creative problem solving, prompt engineering, context engineering, agency over output, human-AI partnership, divergent thinking, convergent thinking, psychological distance, cognitive bias, creative confidence, creative agency, generic parts technique, SCAMPER framework, substitute, combine, adapt, modify, put to another use, eliminate, reverse, creative velocity, innovation, agentic capabilities, iterative problem solving, model reasoning, human in the loop, decision making, strategy, domain transfer, abstraction, functionally fixated thinking, solution exploration, pain point analysis, authentication, friction reduction, workflow improvement, technology product management, practical AI use cases, collaborative AI techniques, business problem solving, structured problem solving, metacognition, challenging output quality,

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    From AI Agent Orchestrators to Deepfakes. The New Tech Order Dec 16, 2025
    Show notes

    We don't do AI predictions lightly.
    Everyday AI is trusted by millions each year to help guide them through the muddy AI waters.
    So in the same way you'd want transparency out of your AI models, we're rolling back the clock on our January 2025 AI predictions we dished with our Roadmap Review.
    We're busting out the receipts.
    At the time, these AI predictions seemed nutty. So, did we lead you astray? Or, did we pave the road to paydirt?
    Let's dive in y'all.
    2025 AI Roadmap Rewind: From AI Agent Orchestrators to Deepfakes. The New Tech Order -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.
    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. AI Agent Orchestrators as Job Title
    2. AI Agents in Company Hiring Trends
    3. Enterprise Reasoning Data Collection Growth
    4. AI Driving Professional Services Pricing Crisis
    5. Universal Basic Income and AI Job Loss
    6. Open Source AI Models Surpassing Proprietary
    7. Chinese AI Model Global Market Impact
    8. Perplexity Answers Engine Business Pivot
    9. Frontier AI API Price Drops
    10. VC Funding Surge in Embodied AI
    11. Advancements in AI Video Generation Tools
    12. AI’s Disruption of Traditional Internet Models
    13. Social Media Deepfake Misinformation Surge


    Timestamps:
    00:00 "2025 AI Predictions Explained"

    04:02 "2025 AI Predictions Insights"

    08:49 AI Agents Classified as Employees

    11:23 "Transformers vs. Reasoning Models"

    16:15 AI Impact on Consulting Jobs

    18:51 "AI Impacts Jobs, Spurs UBI"

    23:12 Open Models Surge in AI

    27:13 "Perplexity's AI Pivot Journey"

    29:23 "Embodied AI Sector Growth"

    31:36 "Embodied AI Transforms Logistics"

    36:42 "AI-Driven Internet Future"

    39:16 Deepfake Fraud Crisis Escalates

    42:25 AI Success Roadmap Revealed


    Keywords:
    Agent orchestrators, AI agent orchestration, AI job titles, orchestration engineer, AI agent architect, human-AI collaboration leader, Adobe agent orchestrator, AO, AI agents, digital FTEs, digital full time employees, AI agent hiring, agent compute costs, Agent Force, hiring digital labor, reasoning models, company reasoning data collection, reasoning token consumption, synthetic data generation, private reasoning engines, unstructured data, proprietary data, professional services pricing crisis, law sector AI disruption, consulting AI transformation, accounting AI impact,

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