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By Everyday AI
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 fo
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The podcast currently has 870 episodes available.
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How did prompt engineering die so quickly? ☠️ And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- 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: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and Scalability Timestamps: 00:00 "Access AI Community & Tools" 03:08 "Mastering Context in AI" 07:23 "Smart Models Require Less Precision" 12:01 "Context Engineering Beats Prompt Engineering" 15:49 "AI Context: Six Key Blocks" 16:47 "Building Context for Better Results" 19:53 "AI: Training, Not Easy Button" 25:17 "Chain of Thought Prompting Decline" 29:11 "Show, Don't Tell Techniques" 32:13 "Context, Reuse, and Scalable Systems" 33:19 "AI Chatbots: Memory and Skills" Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don’t tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Who will win the AI race in 2026? 🏇 Will Google finally catch OpenAI in users? Has Claude surpassed ChatGPT in capabilities? And.... how can your company avoid the AI battles and just pick its lane? So many AI questions. We've got your AI answers. As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide? The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- 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: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode:AI Race 2026: OpenAI, Microsoft, Google, AnthropicChatbot Era Ending: Rise of Agentic SystemsOpenAI vs Google vs Anthropic User StatsLarge Language Model Benchmark ComparisonsEnterprise AI Adoption TrendsAgentic Workflow Automation: Business ImpactsMicrosoft Copilot and Governance FeaturesAnthropic Claude’s Premium Intelligence Integration Timestamps: 00:00 "2026 AI Race Predictions" 04:01 "AI's Daily Driver Era Arrives" 08:31 AI Revenue and IPO Trends 10:10 "Revenue Success with Fewer Users" 13:42 AI Integration and Market Impact 19:49 Microsoft's Role in OpenAI Investments 21:00 "Microsoft vs Google: AI Investments" 26:42 "Anthropic's Focus on Specialized AI" 30:34 Microsoft Copilot's AI Evolution 31:28 Microsoft Copilot: CEO's Hands-On Vision 35:13 AI Coding Models Market Trends 38:44 "Modular AI for Enterprise Success" 42:06 "Everyday AI: Subscribe Now" Keywords: AI race, state of AI 2026, OpenAI, Microsoft, Google, Anthropic, enterprise AI, consumer AI, agentic systems, AI workflow, large language models, multimodal AI, Gemini, ChatGPT, Copilot, Claude, Claude Opus, Claude SONNET, AI operating system, AI agent, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Most people are either using too many AI tools or not enough. The real problem? Not understanding the categories and capabilities of the main AI tools that matter. And with constant updates, it's pretty much impossible to get a decent lay of the AI land. We're changing that with this episode: From Chatbots to Super Agents: The 11 AI Tool Categories Explained -- 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: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode:11 Essential AI Tool Categories OverviewText Reasoning Assistants ExplainedMultimodal AI Operating Systems BreakdownAI Search and Deep Research ToolsVoice and Speech AI Tech TrendsAI Image Generation Diffusion ModelsAI Video Generation & World ModelsAI Music Generation Tools and PlayersDesign and Visual Content AutomationVibe Coding App Builders FunctionalityAI Coding Copilots & Local AgentsAutonomous AI Agents and BrowsersBuilding a Competitive Personal AI Stack Timestamps: 00:00 Overview of 11 AI tool categories 06:40 AI tools and their uses 07:54 Old school AI systems 11:23 Being patient with AI tools 16:15 How AI models find answers 17:22 Future of browsing with AI 23:49 How AI generates images 26:50 How video generation works 29:01 Creative AI and music generation 33:48 AI tools and natural language 34:41 Explaining vibe coding and key players 38:35 Understanding autonomous AI agents 42:58 AI platforms and top players 45:02 Choosing the right AI tools 48:04 Choosing the right AI tools Keywords: AI tool categories, chatbots, super agents, text reasoning assistants, multimodal AI platforms, AI search, deep research, voice and speech AI, speech to text, text to speech, image generation, diffusion models, video generation, Sora, wor Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

You're polluting the world with AI Workslop and you don't even know it. 🗑️ In a world were everything is free and fake -- or, AI -- it's easy to just throw unlimited spaghetti at the wall and see what sticks. But there's a downside in just blindly rubber stamping those generic outputs from LLMs. And it's worse than the workslop epidemic. It's losing trust. So, how can your company survive and thrive in an AI world where everything is fake? Tune in and 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: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode:AI Trust Crisis and Consumer SkepticismDeepfakes, Fraud, and AI-generated ContentWorkslop: Rise of Generic AI OutputsHuman Expertise vs. Fully Automated AIAI Content Detection and Liar’s DividendElevating Human Oversight in AI WorkflowsExpert-Driven Loops vs. Human-in-the-LoopAuditing Business Outputs for AI WorkslopDomain Expertise in AI Context EngineeringRoadmap to Fight AI Workslop with Humans Timestamps: 00:00 "Navigating AI-Driven Distrust" 04:01 AI, Jobs, and Fake Realities 06:35 "AI vs Expert Content Quality" 10:09 AI-Driven Online Interaction Surge 14:41 "Trust Fading in Imperfect Brands" 16:31 "AI Literacy: Bridging the Gap" 19:18 "Elevating Expertise in AI Workflows" 22:58 "Context Engineering for Domain Expertise" 28:11 AI's Impact on Blog Quality 29:21 "Fighting AI Work Slop" 32:40 "Everyday AI: Join & Explore" Keywords: AI-generated content, everything is fake, AI workslop, work slop, AI slop, trust crisis, deepfakes, synthetic media, fake landing pages, fake customer service, AI-enabled fraud, voice cloning, agentic AI, discourse bots, domain expertise, human expertise, context engineering, content detection, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

40,000+ AI-linked job cuts in two weeks. 😬 But AI is also supposed to create millions of new jobs. So are we watching traditional work slowly die while the replacements don't exist yet? And did we really spend decades building expertise just to babysit AI agents that are smarter and faster than us? Join us live 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: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: AI-Driven Job Cuts and Layoffs AnalysisThe AI Labor Shift: Timeline PredictionsBig Tech AI Infrastructure InvestmentsAI as Layoff Scapegoat and "AI Washing"Capability Gap: AI Use vs. PotentialRoles Most at Risk in AI Labor ShiftCodified vs. Tacit Knowledge Job ImpactThree-Step Survival Guide for AI CareersDomain Expertise Plus AI Skills PremiumNew AI Job Roles and Emerging Opportunities Timestamps: 00:00 "AI Jobs, Investments, and Displacement" 06:18 AI's Impact on Jobs 08:20 "AI Layoffs and Overhiring" 11:36 Driving AI Value with Section 16:00 AI's Workforce Impact Gap 18:25 "AI Impact on Work Dynamics" 20:25 AI-Driven Workflows Mainstream by 2030 24:25 "AI Impact on Job Security" 27:47 "Emerging AI Roles and Expertise" 31:17 "Surviving the AI Labor Shift" 33:38 "Boost AI Adoption with Section" Keywords: AI labor shift, AI job displacement, AI and employment, AI job loss, AI job creation, traditional employment decline, future of work, AI workforce transformation, AI layoffs, tech layoffs, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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