Everyday AI Podcast – An AI and ChatGPT Podcast

You can develop a working Mac app in minutes. 😱

For free. 

No coding experience needed. 

In the course of one week, OpenAI dropped three big pieces of related news and updates: their new Codex Mac app, a new GPT-5.3 codex model, and the fact it will remain open to free users. 

Sheesh. Even if you have zero interest in coding long term, you can start easily building software to help you work better today. 

Join us as we put AI to Work on Wednesdays. 

Coding with OpenAI’s New Codex App: How to Build a Simple App without coding experience -- An Everyday AI Chat Jordan Wilson

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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:
OpenAI Codex App Desktop Launch
GPT-5.3 Codex Model Coding Demo
Building Mac Apps Without Coding Experience
Codex Prompt Engineering Best Practices
Handling Errors and Iterations in Codex
Codex Skills, Automations, and App Features
Creating Local Database and Project Files
Adding Kanban View to Codex Apps
Codex Integration with Xcode for Mac
Cross-Platform and Web App Build Options

Timestamps:

00:00 "AI Enables Free Software Creation"
04:38 "Build a Custom Mac App"
08:00 "AI Learning Hub Challenges"
09:57 Codex Permissions and Risks
13:12 "Creating iPhone Apps with Xcode"
18:48 "Codex Projects and Updates"
21:11 "Local App or Full Web App?"
24:49 "Xcode Build and Cache Tips"
27:21 "Clear Cache for Clean Build"
29:41 "Understanding GPT-5.3 Codex Updates"
33:49 "Kanban Tools Made Simple"
38:01 "OpenAI Keeps Free CodeX Tier"
39:36 "Everyday AI: Subscribe & Explore"

Keywords: 
OpenAI Codex, codex app, coding with openAI, GPT-5.3 Codex, desktop coding model, Mac app development, simple app without coding, no coding experience required, natural language coding, build software for free, agentic work, automations, skills support, Xcode integration, Swift programming, project file, local machine, database setup, native Apple app, local storage, Mac desktop software, Kanban board, Kanban function, project management app, CRM replacement, customizable app features, importance score, status tracker, context engineering, prompt engineering, graphical user interface, IDE, command line tools, parallel agents, work tree support, sandboxing, application sandbox, Windows version codex, web-bas
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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

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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 Engineering
Why Prompt Engineering Is Now Obsolete
Defining Context Engineering in AI Chatbots
Six-Part Framework for Context Engineering
Four Layer System for Structuring AI Context
Building Reusable Context Vaults and Skills
Connecting Business Data to AI Models
Techniques to Achieve Expert-Level AI Outputs
Importance of Context Windows in Large Language Models
Context 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,
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Things got kinda catty between OpenAI and Anthropic 😺

SpaceX and xAI are now one in the same 🤝

And coding has gone beyond mainstream. 🧑‍💻

If you're still trying to wake up from your Super Bowl overeating slumber, you mighta missed some impactful AI news this week.

We'll get ya caught up.

OpenAI and Anthropic battle each other, SpaceX and xAI merge, AI coding takes spotlight and more -- An Everyday AI Chat with Jordan Wilson

Inside the Society of Agents: Why AI Teamwork Beats Bigger Models -- An Everyday AI Chat with Jordan Wilson and Microsoft Research's Ece Kamar

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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:
OpenAI Frontier Platform for Enterprise AI Agents
Anthropic Super Bowl Ad vs OpenAI Ads Debate
Anthropic Claude CoWork Industry-Specific Plugins Launched
Legal and Finance Industry Shaken by AI Plugins
SpaceX and XAI Billion-Dollar Merger Announced
Meta AI Platform Upgrade and Agent Integrations
Perplexity Model Council Multi-AI Response Launched
Anthropic Opus 4.6 Multi-Agent Teams Release
OpenAI GPT-5.3 Codex Benchmarking Leadership
OpenAI Codex Mac App Dedicated Launch
Software Market and SaaS Disruption from AI
Anthropic Claude Integration in Microsoft PowerPoint
Google Gemini 3 General Availability Imminent
XAI Grok Video Model Leaderboard Update

Timestamps:

00:00 "Everyday AI: Unfiltered Insights"
06:02 "AI Ad Debate Heats Up"
10:41 "Anthropic Shakes Industries With Plugins"
12:07 AI Threatens Software Industry Model
15:27 "SpaceX-XAI Merger: AI in Orbit"
21:27 "Perplexity's Model Council Launch"
22:51 "Multi-Model AI Enhancements"
28:27 "Multi-Agent Teams Feature Preview"
30:27 "Claude AI Integrated in PowerPoint"
35:51 "OpenAI's GPT 5.3 Codex Shift"
39:58 AI Updates: New Modes & Models
42:00 "Support & Share Everyday AI"

Keywords: 
OpenAI, Anthropic, AI rivalry, SpaceX and XAI merger, enterprise AI platform, Frontier by OpenAI, AI agent management, agent sprawl, AI workplace collaboration, Claude chatbot, Super Bowl AI ad, ChatGPT ads, Sam Altma
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For better AI agents, we just need bigger models, right? 🤔

Nah.

They just need to all work together in a society.

That's Ece Kamar's take. And she should know. She's been working in the AI agent field for two decades, long before the birth of the modern large language model.

So what's the next step for your company to embrace agents? Focus on smaller agents working and sharing, not one jumbo model working in a silo.

Tune in and find out how to make it work.

Inside the Society of Agents: Why AI Teamwork Beats Bigger Models -- An Everyday AI Chat with Jordan Wilson and Microsoft Research's Ece Kamar

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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:
Society of Agents vs Bigger AI Models
Agentic Teamwork Advantages Explained
Evolution of Agents at Microsoft Research
Real-World Multi-Agent Collaboration Use Cases
Emergence of Action-Oriented Reasoning Models
Designing Business Workflows for Agentic AI
Multi-Agent Oversight and Risk Management
Future Ecosystems and Agentic Business Models

Timestamps:

00:00 "AI Agents: Decades to Breakthroughs"
05:44 Collaborative AI Agents Transform Work
08:13 "AI Models Learning to Act"
12:49 "Transforming Workflows with Generative AI"
16:49 "Human Value in Tech Change"
20:30 "Autonomous Agents: Resilient Actions"
21:37 "Multi-Agent Strategy for Oversight"
26:04 "Integrating Memory into Models"
29:28 "Future Ecosystems and Business Models"

Keywords: 
society of agents, multi-agent systems, agentic society, AI teamwork, agentic workflows, AI agents, team of agents, multi-agent approach, agent-based models, agentic models, reasoning models, large language models, reinforcement learning, collaboration between agents, autonomous agents, agentic behavior, orchestration, agent communication, agent oversight, human-in-the-loop, responsible AI, business process transformation, automation, productivity agents, coding agents, workflow optimization, economic activity, agentic stack, agent reliability, programming with agents, AI-driven companies, agentic oversight,
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What if search becomes.... proactive? 😲

Like, Google knows you so well that you don't even need to provide any details and it'll just deliver you the results.

Sound far off?

It's not, and Robby Stein is helping build that future.

Robby is the VP of Product at Google Search and he joined Everyday AI to dish details on how the next era of AI search is about so much more than personalization.

It's about Google becoming your personal Operating System that proactively delivers better results than you could.

AI Search as the Personal OS: The Next Interface For Information -- An Everyday AI Chat with Jordan Wilson and Robby Stein.

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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:
Google Search powered by Gemini 3 AI
Personal Intelligence integration in Google Search
AI Mode for conversational search experience
Secure Gmail and Photos context in search
Agentic and proactive search capabilities
Contextual search features in Chrome browser
Multimodal Gemini models enhancing search
AI-generated interactive tools and simulations

Timestamps:

00:00 Building AI-Enhanced Search Experiences
04:31 "AI-Powered Contextual Search Experience"
08:31 "AI with Context and Privacy"
12:50 "Advancing AI for Complex Queries"
15:48 "AI Mode vs. Gemini Usage"
18:25 "AI Assistance for Browsing Questions"
20:44 "Stop Running AI Circles"
25:22 "AI-Powered Personalized Assistance"
27:40 "AI Tools Revolutionize User Experiences"
30:04 "Ask Specifically for Better Results"

Keywords: 
AI search, personal operating system, information interface, Google Search updates, Gemini 3, frontier model series, conversational AI, personal intelligence, AI mode, AI-powered search, Gmail integration, personalized search experience, secure data connection, context-aware search, Gemini app, follow-up questions, agentic technology, agentic search, proactive search, reasoning capabilities, 
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