One of the biggest problems of vibe coding?

Securely keeping the project up to date and sharing it with your team to make it actually useful.

And there’s a new solution that does just that, Codex Sites. With a few simple prompts, you can turn vibe coded throwaway apps into working pieces of software that your team can share.

We put AI to work on Wednesday and show you how to get the most out of Codex Sites.

Codex Sites: The Lovable and Replit Killer? A hands-on Guide to Codex Sites -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Codex Sites vs Static File Sharing
2. Live Dashboards and Automated Workflows
3. Building Internal Apps With Codex Sites
4. Real-Time Data Integration in Codex
5. Agent Layer and Role-Based Access Control
6. Codex Sites vs Replit, Lovable, Bolt
7. Dynamic Business Insights and Collaboration
8. Codex Sites Secure Team Sharing Limitations
9. Automations and Custom Skills in Codex
10. Future of AI Native Business Tools

Timestamps:

00:00 The future of work automation

03:43 Free daily newsletter highlights

08:29 Managing audience momentum dashboard

12:04 Pulling stats and data access

14:48 Creating dynamic web tools

16:18 Editing video collaboration challenges

21:09 Comparing coding platforms like Replit

25:47 Future of Business Analytics Tools

27:11 Introducing the Start Here series

32:35 Updating old content ideas

34:53 Streamlining team efficiency with AI

37:02 Episode use cases overview

Keywords:

Codex sites, OpenAI, AI dashboards, live software, file sharing, business automation, dynamic data, ChatGPT business, agentic system, Chrome integration, MCP servers, skills, plugins, Copilot Scout, internal dashboards, data analysis, role based access control, data governance, enterprise AI tools, site hosting, live app builder, prompt driven apps, automations, Replit alternative, Lovable competitor, full stack app builder, dynamic business context, annotation feature, nontechnical teams, BI dashboards, Kanban tracker, evergreen content, live indicators, audience momentum dashboard, sub agent, responsive design, visual design, parallax feature, actionable insights, version control, dynamic deliverables, artifact, demo over memo, knowledge work, IT security, internal URL sharing, AI native workflow, internal business tools, real time updates, start here series

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

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

Also, here's a link to the entire series on a Spotify playlist.

Did you miss everything Microsoft announced at its Build conference? 😮

We didn't.

From autonomous agents in Copilot to new models and agent-first hardware, Microsoft went full stack with its lineup.

We break down our four biggest takeaways and give you the implications.

Microsoft Build Recap: 4 New AI Features That Stood Out -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Today's Episode 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. Microsoft Build 2024 Top AI Takeaways
2. Copilot Super App and Autopilots Launch
3. Scout Agent for Autonomous Desktop Work
4. Microsoft MAI Thinking One Language Model
5. MAI Models vs. Frontier AI Benchmarks
6. NVIDIA Partnership: RTX Spark AI Laptops
7. Surface RTX Spark Dev Box for Local AI
8. Project Solera: Agent-First AI Devices
9. Solera Enterprise Use Cases & Privacy Impacts
10. Microsoft's AI Ecosystem Competitive Strategy

Timestamps:

00:00 Microsoft's AI advancements at Build

05:08 Microsoft's AI strategy discussion

07:38 Introducing the first autopilot, Scout

10:57 Desktop AI assistants and their risks

13:54 Discussing model parameters and performance

16:56 MetaMuse Spark's rapid development

20:34 Mini data center on your desk

23:39 Introducing the Start Here series

28:04 Humanoids in industrial environments

31:19 Discussing Microsoft and AI advancements

35:51 Microsoft's AI investments and competition

38:16 Microsoft AI advancements discussion

39:59 Microsoft's diverse AI strategy

Keywords:

Microsoft Build 2024, Microsoft AI, AI features, AI updates, Copilot, Copilot Super App, Copilot autopilots, Microsoft Scout, autonomous agents, agentic desktop, local AI models, MAI models, MAI thinking one, MAI code one flash, medium language models, large language models, model benchmarks, model parameters, AI in the workplace, Microsoft-NVIDIA partnership, RTX Spark laptop, Surface RTX Spark Dev Box, local inference, on-prem AI, cloud models, OpenClaw, small language models, ION models, Project Solera, agent-first devices, chip-to-cloud platform, Qualcomm partnership, embodied AI, frontline productivity, healthcare AI, enterprise AI hardware, AI security, agent drift, industrial AI, privacy concerns, AI race, tech competition, Satya Nadella, Anthropic investment, OpenAI partnership, market cap, future of work, proactive AI, AI-powered hardware, developer conference, productivity tools, business automation.

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

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

Also, here's a link to the entire series on a Spotify playlist.

More tokens = more ROI, right? 🤔

Maybe.

But probably not.

Maybe one of the weirdest AI trends that has oddly stuck in 2026 is tokenmaxxing -- the practice of individuals and companies racing to use as many AI tokens as possible and equating it with business progress.

Reality check: token efficiency is the real rage.

So, how do you measure token efficiency and how can your company avoid the cost pitfalls of tokenmaxxing?

Join us as we break it down.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode 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. AI Token Maxing: Rise and Fall
2. Defining AI Tokens and Tokenization
3. Four Main Types of AI Token Usage
4. AI Agentic Loops and Token Consumption
5. Corporate Token Leaderboards and Meta Example
6. Risks of Unmonitored Token Burn in Enterprises
7. Token Subsidies and AI Pricing Trends
8. Measuring Token Efficiency versus Token Volume
9. Benchmarking Models: Cost per Intelligence Output
10. Shifting from Model Selection to Harness Efficiency
11. Best Practices for Enterprise Token Optimization
12. Monitoring AI Agents for Token and Cost Control

Timestamps:

00:00 Rethinking AI token usage

05:46 Token usage misconceptions in companies

09:15 Using token incentives

10:48 Tech companies adding usage limits

13:21 Understanding model token usage

17:16 Agentic models and tool use

22:21 Experimenting with token efficiency

25:18 Measuring AI's economic impact

29:11 Comparing AI intelligence and cost

30:36 Cost concerns with Anthropics' AI models

35:20 Importance of token efficiency

38:03 Takeaway from Microsoft CTO chat

Keywords:

token maxing, token efficiency, AI token usage, AI tokens, token consumption, large language models, agentic loops, AI spend, token cost, model subsidies, subsidized AI plans, enterprise AI strategy, context window, prompt engineering, API usage limits, output tokens, input tokens, reasoning tokens, tool use tokens, scheduling agents, agentic AI, model harness, Claude Opus, OpenAI GPT-5.5, Gemini 3.1 Pro, Anthropic models, artificial analysis intelligence score, DeepSuite benchmark, cost per intelligence, modular AI architecture, API overages, context window size, scheduled agents, human-in-the-loop, expert-driven loop, output monitoring, benchmarking AI models, economic value from AI, efficiency metrics, measuring ROI, AI model performance, cost per output, chain of thought, AI tool integration, AI cost management, long-running agents, dynamic data integration.

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

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

Also, here's a link to the entire series on a Spotify playlist.