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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:
    Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time Jul 09, 2025
    Show notes

    Think you know ChatGPT's custom GPTs? 🤔
    Probably not.
    Last week, we tackled the basics and what's new with OpenAI's refreshed GPTs.
    For this AI Working Wednesdays episode, we're getting into some advanced techniques to hep you win back time.
    ↳ using the crazy powerful o3 model to your GPT's advantage
    ↳ context stacking
    ↳ custom actions to connect to third party sites
    Yeah.... don't sleep on this one shorties.

    Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time

    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. Custom GPTs: Advanced Techniques Overview
    2. OpenAI's Context Stacking Strategy
    3. O3 Model's Thinking Capabilities
    4. Building Efficient Custom GPTs
    5. Custom Actions and API Integration
    6. Zapier Integration for Dynamic Data
    7. ChatGPT's Context Window Management
    8. Creating Evergreen Podcast Content


    Timestamps:
    00:00 Custom GPTs: Evolution and Insights

    03:23 "Mastering GPT Context Stacking"

    09:31 "Context Stacking in Chat GPT"

    11:20 GPT Context Switching Advantage

    15:33 Customizable GPT Usage Explained

    19:51 Evergreen Episode Update Strategy

    21:44 Optimizing AI for Continued Learning

    23:48 "O-Series Models: Advanced AI Capabilities"

    28:41 Building GPTs for Episode Research

    30:03 GPT Model Customization and Sharing

    33:18 Securing API Keys in GPTs

    36:55 Zapier Enhances GPT Email Capabilities

    42:12 "Use Chrome Extensions for Tokens"

    43:48 "AI at Work Wednesdays Survey"


    Keywords:
    OpenAI's custom GPTs, advanced techniques, save time, context stacking, o three model, ChatGPT updates, logic and reasoning, plan ahead capabilities, agentic tools, custom actions, third party data, API, building GPTs, leveraging AI, context window, transformer model, generative AI, organization usage, fine tuning performance, productivity enhancement, AI agents, AI tools integration, custom configuration, everyday applications, tech strategies, new rendition, midweek break, AI experts, smarter AI usage, AI-powered planning, AI transformations.


    Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time

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


    EP 562: How Will New Grads Get a Job with AI? What You Need to Know Jul 08, 2025
    Show notes

    The unemployment rate for recent grads? 📉
    At an all-time high because of AI.
    A new study shows that almost 6% of recent college grads in the U.S. are unemployed, the highest rate since 2021 outside of the pandemic.
    The main reason: companies are leveraging AI instead of hiring new employees.
    ↳ What do you need to know?
    ↳ How can students get the experience in AI that employers desperately want?
    ↳ Should employers be hiring recent grads, whose colleges likely banned AI?

    EP 562: How Will New Grads Get a Job with AI? What You Need to Know

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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's Impact on Graduate Unemployment
    2. University AI Skills Gap
    3. Corporate AI Quiet Firing Trend
    4. Future Workforce and AI Integration
    5. Structural Collapse in Entry-Level Hiring
    6. Greedy Fortune 500 CEO Practices
    7. Transformation in Knowledge Work
    8. Parental Actions for AI Education


    Timestamps:
    00:00 AI Impact on Recent Grad Jobs

    03:06 AI's Impact on Job Market

    06:09 Tech Shift Fuels Grad Unemployment

    10:25 Higher Education's Imminent Decline

    14:48 Innovation Stifled by Educational Leaders

    18:06 "Changing Employment Reality"

    21:57 Delayed Impact in Higher Education

    25:18 "Urgent Need for AI Policies"

    26:15 "Faculty: AI Literacy Resources Lacking"

    29:31 Rethinking Private Company Practices

    33:17 Embrace AI: Unlearn and Innovate

    37:43 Demand AI in Education

    42:17 AI Tools and Job Search Insights

    45:05 "Consider Transferring if AI Banned"

    47:23 Call Out Corporate Greed


    Keywords:
    AI unemployment, recent grads, Oxford Economics study, AI skills, universities banning AI, quiet firing, entry-level job crisis, structural shift, tech sector, workforce future, economic wheel, AI job displacement, societal shift, business leaders, recent college graduates, job placement rate, higher education, greedy CEOs, job prospects, new jobs creation, AI literacy, knowledge commoditization, generalist skills, private companies, public company playbook, baby boomer exit, silver tsunami, IP unlearning, micro credentialing, AI policy, employment prospects, Federal Reserve, slowing economy, accelerating inflation, job search shifting, higher education failure, educational leaders, business professionals, actionable information, thrive in job market, company growth, generative AI for growth, zig-zag opportunity, commoditized knowledge work, AI collaboration, recent grad card, parents' role in AI education, technological innovation, highest institutional knowledge, AI-enabled hardware, structural collapse, unemployment rate, job crisis survival.


    EP 562: How Will New Grads Get a Job with AI? What You Need to Know

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


    EP 561: Meta’s new AI lab, OpenAI hit with huge copyright blow, AI’s impact on content publishers and more. AI News that Matters Jul 07, 2025
    Show notes

    Meta just announced the legit Dream Team of AI. 🥇
    That's got OpenAI scrambling.... but getting top talent poached is the least of their worries after a recent copyright case ruling. 🧑‍⚖️
    And publishers might be able to better protect their content from LLMs, but it might make us all a little dumber. 🫤
    Meta’s new AI lab, OpenAI hit with huge copyright blow, AI’s impact on content publishers and more -- 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.
    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. Meta's AI Talent Recruitment and OpenAI's Response
    2. Meta's AI Chatbots Sending Unsolicited Messages
    3. Apple's AI Partnership with Anthropic and OpenAI for Siri
    4. CloudFlare Blocking AI Crawlers by Default
    5. US Senate's Rejection of AI Regulation Ban on State Level
    6. OpenAI's Legal Battle with New York Times Over User Logs
    7. Impact of Google's AI Overview on US News Sites' Traffic
    8. OpenAI's Enterprise Consulting Efforts Charging $10M Minimum
    9. Meta's Formation of AI Dream Team: Meta Superintelligence Labs


    Timestamps:
    00:00 OpenAI vs. Meta's AI Talent War

    06:27 Meta's Project Omni: Proactive AI Chatbots

    08:55 AI Personalization: Business Communication Strategy

    13:27 CloudFlare Blocks AI Scrapers, Enables Pay Model

    17:15 AI Regulation and CloudFlare Insights

    18:26 Senate Preserves State AI Powers

    22:03 Media Hype Over Unfinished Legislation

    27:21 "Challenges in AI Copyright Cases"

    28:13 AI Hits News Site Traffic Hard

    33:40 Meta Launches Superintelligence Labs (MSL)

    36:44 Meta's AI Gamble with Cash

    40:51 AI Developments and Legal Challenges Overview

    42:05 Meta Unveils AI Dream Team


    Keywords:
    Meta, AI headlines, OpenAI, large language models, Cloudflare, AI news, everyday business leaders, Sam Altman, AI talent raid, superintelligence team, compensation review, Mark Zuckerberg, emotional impact, Meta's hiring efforts, mission-driven culture, AI chatbots, unsolicited messages, Project Omni, AI Studio platform, user engagement, AI product revenue, Apple and Siri, AI privacy controls, Cloudflare blocking AI crawlers, AI training datasets, New York Times lawsuit, copyright infringement, enterprise consulting, Palantir, Meta Superintelligence Labs, AI dream team.



    EP 561: Meta’s new AI lab, OpenAI hit with huge copyright blow, AI’s impact on content publishers and more. AI News that Matters

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


    EP 560: Inside Multi-Agentic AI: 3 Critical Risks and How to Navigate Them Jul 03, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Have a question? Join the convo here.

    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. 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.

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


    EP 559: ChatGPT’s Updated Custom GPTs: What’s New and How They Work Jul 02, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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. 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.

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


    EP 558: Apple cooked on AI? Apple's Siri failure and the end of its AI innovation Jul 01, 2025
    Show notes

    Apple is gonna pay their competitors to do AI for them.

    Yiiiiikes.
    A recent Bloomberg report detailed Apple's failures to build a smart AI Siri and how they may instead hire OpenAI or Anthropic to do the job for them.
    Our take?
    You know we're bringing the fire for this #HotTakeTuesday.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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. Apple's Generative AI Struggles Analyzed
    2. Bloomberg Report on Apple's AI Plans
    3. Apple's AI Strategy Shift with Competitors
    4. Siri Development Challenges & Delays
    5. Apple's AI Failures & Class Action Lawsuits
    6. Future of Apple's AI Innovation Discussed
    7. Anthropic & OpenAI's Role in Apple's AI
    8. Apple's AI Outsourcing Strategic Impact

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

    05:57 "Delayed AI Siri Release"

    09:41 Apple's AI Struggles Revealed

    10:47 "Apple's Siri Relies on ChatGPT"

    16:57 Apple Faces Costly AI Negotiations

    17:58 Amazon Partners with Anthropic for Alexa

    23:47 AI Strategy and Training Solutions

    26:39 Google and Apple's AI Divergence

    31:27 Meta Advances, Apple Lags in AI

    32:48 AI Setbacks Could Cost Apple Market Cap

    Keywords:
    Apple AI, generative AI, Bloomberg report, AI-powered Siri, Apple's AI failure, Siri assistant, strategic pivot, OpenAI, anthropic partnership, Apple innovation, AI development disasters, internal development, Alexa partnership, gen emojis, Apple intelligence, Apple WWDC, AI efforts, smarter Siri, AI redemption story, AI pioneer, industry laggard, privacy narrative, class action lawsuits, vertical integration, small language models, edge AI, on-device AI, AI integration, market cap, AI investment, Meta Superintelligence Labs, Tim Cook, CEO Apple, AI dependency.

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


    EP 557: OpenAI and Meta's war on AI talent, will Gemini CLI kill Claude Code? AI News That Matters Jun 30, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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 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 Photos, OpenAI connectors, Deep research chat, Slack connector, API webhooks.

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


    EP 556: Choosing the Right AI:  Agents, LLMs, or Algorithms? Jun 27, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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. 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.


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


    EP 555: Accessible AI: Practical Strategies for Every Business Leader Jun 26, 2025
    Show notes

    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.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.
    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 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.

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


    EP 554: No-Code Interactive AI: How to use Canvas, Artifacts for business growth Jun 25, 2025
    Show notes

    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!)

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Thoughts on this? Join the convo.

    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. 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.

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


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