Everyday AI Podcast – An AI and ChatGPT Podcast

5h ago

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: Enterprise AI Adoption Rates & Challenges AI Workflow Automation Phase Explained Three Big Obstacles to AI Adoption Infrastructure Constraints for Enterprise AI Trust Deficit in AI Systems Data Gaps Impacting AI Success Measuring ROI on Enterprise AI Deployment 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) Ready for ROI on GenAI? Go to youreverydayai.com/partner

1d ago

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: Anthropic $1.5B Copyright Lawsuit Settlement AI Influencers Replace Human UGC Content Non-Technical Vibe Coding Software Trend Enterprise Reasoner Wrappers in AI Adoption Rise of Virtual Machines for AI Agents Political Impact of AI on US Policy Global AI Regulations and EU AI Act Narrow AI Agents Drive Business Value LLM Memory and Context Advances in 2025 Shift: Large Language Models to Small Models Mixture of Models Approach for Enterprises 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 fo Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

2d ago

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: Creative Frameworks for Generative AI Problem Solving Human Agency vs. AI Efficiency Debate Using Large Language Models as Thought Partners Prompt Engineering vs. Context Engineering Evolution Generic Parts Technique for Abstract Thinking SCAMPER Framework for Business Innovation Human-AI Collaboration: Enhancing Creative Outputs 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) Ready for ROI on GenAI? Go to youreverydayai.com/partner

3d ago

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: AI Agent Orchestrators as Job Title AI Agents in Company Hiring Trends Enterprise Reasoning Data Collection Growth AI Driving Professional Services Pricing Crisis Universal Basic Income and AI Job Loss Open Source AI Models Surpassing Proprietary Chinese AI Model Global Market Impact Perplexity Answers Engine Business Pivot Frontier AI API Price Drops VC Funding Surge in Embodied AI Advancements in AI Video Generation Tools AI’s Disruption of Traditional Internet Models 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 Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

4d ago

Weird week in AI. 🤪 OpenAI partners with..... Disney? Goofy. Meta might go ..... close source? Avocado. And Adobe's brining Photoshop to..... ChatGPT? Print that. Tons of movement. We've got you covered with this week's AI News That Matters. OpenAI releases GPT-5.2 and teams up with Disney, Trump signs order to stop states from regulating AI, big AI rivals team up and more. 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: Disney Invests $1B in OpenAI Sora Partnership Disney Grants OpenAI Access to Copyrighted Characters Trump Executive Order Blocks State AI Laws AI Regulation: Federal vs. State Controversy Meta Shifts Llama Model Open Source Strategy OpenAI CEO Teases Upcoming ChatGPT Features Google Releases Gemini Deep Research Agent Adobe Photoshop Integrates with ChatGPT Apps Agentic AI Foundation Unites Top AI Rivals OpenAI Launches GPT-5.2 Model Benchmarks GPT-5.2 Performance: Spreadsheets & Presentations Long-Context AI Model Retrieval Improvements Anthropic Claude Agents and Accenture Partnership OpenAI, Google, Anthropic Update Agent Frameworks Timestamps: 00:00 "Everyday AI: News & Insights" 04:08 Disney's AI Integration & Legal Moves 07:15 AI Regulation: Federal vs State 10:30 "Meta Tightens Grip on AI" 14:57 "Google Dominates AI Year-End Race" 20:39 "Photoshop Meets ChatGPT Integration" 23:50 "Agentic AI Collaboration in Tech" 25:07 "Agentic AI & OpenAI GPT-5.2" 30:48 "Four Needles Benchmark Analysis" 32:07 "Improved Memory in AI Models" 35:23 "AI Tools & Industry Updates" 38:56 "Everyday AI: Subscribe & Connect" Keywords: GPT-5.2, OpenAI, generative AI, AI model, AI regulation, Trump executive order, federal AI law, state AI laws, Disney AI partnership, Sora video generator, Disney OpenAI investment, Star Wars AI content, Marvel AI content, copyright infringement, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Dec 12

AI investments? Everywhere. AI training? ....... 🔭 Why are enterprises so quick to throw insanely large stacks of cash at any AI project or software, but neglect ongoing employee training and education? And what should we do about it? Join us to find out. The AI Training crisis: Why companies are spending money on AI but not educating -- An Everyday AI Chat with Jordan Wilson and Lucid Software's Dan Lawyer 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: The AI Training Crisis in Enterprises Company Investment in AI vs. Employee Education Cultural Shifts Required for AI Adoption Importance of Domain-Specific AI Training Grounding Large Language Models With Company Data Process and Workflow Documentation for AI Success Rapid Experimentation With New AI Models Measuring ROI and Outcomes of AI Training Creating Cultural Moments for AI Learning Preparing Employees for Fast AI Technology Changes Timestamps: 00:00 AI Training Crisis in Business 05:32 Generative AI and Family History 07:55 Grounding AI for Effective Use 11:49 "AI as a Co-Collaborator" 16:38 "Grounding AI for Better Trust" 19:29 "AI Needs Procedural Knowledge" 22:33 "Measuring AI's Value and Speed" 23:49 Rapid Experimentation and Continuous Learning 26:58 "Maximizing AI Through Education" Keywords: AI training crisis, AI education gap, enterprise AI adoption, AI in business, employee AI training, workplace AI integration, generative AI, large language models, AI-powered workflow, cultural shift with AI, organizational AI culture, domain specific AI training, AI-driven process documentation, AI experimentation, AI safety, securing company data with AI, best practices for AI implementation, nondeterministic AI, grounding AI in company data, procedural knowledge for AI, AI as coworker, AI collaboration, AI trust building, AI productivity, training AI like employees, measuring AI ROI, quantifiable AI outcomes, AI-powered decision making, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Dec 11

Algorithms and automations have been buds for a decade plus. 🤝 But the old 'smart' automations were rigid. If one thing was wrong, the automation would bust. But with LLM-powered agents? Those automations are different. If something's wrong, the agent might just..... guess. 😳 Weak data = weaker outcomes. Here's how to fix it when agents come first and they're gonna finish the job, whether the data is strong or not. From Automation to Agents: Why Weak Data Makes AI Guess -- An Everyday AI chat with Jordan Wilson and Ed Macosky 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: Automation vs. Agentic Workflows: Key Differences AI Agents: Data Quality and Output Risks Agentification Trends in Enterprise Automation Pros and Cons: Converting Automations to Agents AI Agents Impact on Business Processes Importance of Data Governance in AI Agents AI Agent Control Towers and Observability Measuring ROI: AI Agents and Data Investments Timestamps: 00:00 "Trusting AI for Business Growth" 06:31 "Agent-Based Automation: Pros & Cons" 08:29 "AI Agents Simplify Workflow Management" 10:40 Expense Report Workflow Frustrations 15:05 AI Governance and Data Integrity 19:04 "Governance and Multi-Agent Data Strategy" 22:50 "AI ROI and Data Focus" 26:01 AI Studio: Create Apps Faster Keywords: AI agents, Agentification, Agentic workflows, Automation, AI-powered automation, Business process automation, Deterministic workflows, Non-deterministic workflows, Data quality, Data governance, Data management, Integration platforms, Boomi, Chief Product and Technology Officer, Large language models, Generative AI, Rigid workflows, Flexible workflows, Conversational agents, Expense report automation, Policy adaptation, AI decision-making, Human-in-the-loop, AI observability, AI traceability, Multi-agent orchestration, Ecosystem synchronization, Agent control tower, AI governance tools, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Dec 10

Capabilities? Through the roof? Usage? Ground floor. Claude Agent Skills might be one of the most useful features of any front-end LLM. Yet....it's crickets in terms of chat around it. For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time. Claude Skills: How to build Custom Agentic Abilities for beginners -- 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: Claude Skills Agentic Features Overview Differences: Claude Skills vs. GPTs vs. GEMS Modular Agentic Workflow File Structure Step-by-Step Guide: Building Claude Skills Claude Skills YAML/Markdown Setup Process Testing and Validating Custom Claude Skills Advanced Capabilities: Executable Code & Sub-Agents Common Troubleshooting for Claude Skills Creation Timestamps: 00:00 "Claude Skill Library Unveiled" 06:27 "Claude Skills Explained" 07:29 Custom GPTs and Gems Explained 11:18 Claude Skills vs Projects 17:31 "Refining Skill Triggers Effectively" 20:17 "Beginner Cloud Skills Best Practices" 23:39 "Preferring GPT and Memory Tools" 25:54 "Saving Skill File Properly" 28:09 Creating Skills on Claude 33:43 "Creating AI News Searcher" 35:36 Claude Skills Now Available 37:39 "Optimizing Claude for Knowledge Tasks" 41:05 "Skill Builder Library Access" Keywords: Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)