Greg Isenberg · Video summary
OpenAI Codex: Build Apps That Work For You 24/7
In this tutorial, Greg Isenberg explores the capabilities of OpenAI Codex and its Codex Sites, demonstrating how to build autonomous applications that can update themselves and utilize features like memory and safe actions. He emphasizes the potential of Codex Sites for creating innovative, self-sustaining products in the tech landscape.
Watch on YouTube ↗Key takeaways
- OpenAI Codex Sites allows for the creation of autonomous applications that can update themselves, enhancing productivity and innovation.
- Codex Sites can autonomously create and update content, such as personal websites, without manual intervention, making it a powerful tool for dynamic product management.
- While Codex Sites excels in autonomous updates, it currently lacks features like databases, payments, and analytics, which are essential for more complex applications.
- Creating skills within Codex Sites is crucial for maximizing its potential, providing operational guidance and example commands for users.
- The ability to add memory and create safe actions is essential for ensuring that applications can remember user inputs and perform specific tasks efficiently.
- Start using Codex Sites by building a simple project to familiarize yourself with its capabilities and understand how it compares to other platforms.
Chapters
- 0:00🛠️ Introduction to Codex Sites
- 0:17🔍 Comparison with Competitors
- 0:30🌐 Autonomous Product Building
- 3:54💡 Building a Startup Ideas OS
- 5:09⚙️ Invoking Codex Sites
- 6:57🔧 Using Plugins
- 8:45📊 Adding Memory
- 10:00✅ Creating Safe Actions
- 11:23📝 Creating Skills
- 13:09💾 Saving Gates
- 13:59🔄 Proving the Loop
- 17:43🌐 Publishing the Website
- 20:29🚀 Conclusion and Future Trends
The digest
High Level Overview This detailed tutorial explores OpenAI’s Codex Sites, a new platform for building autonomous web apps integrated within the Codex ecosystem. Unlike existing no-code tools like Replit or Lovable, Codex Sites enables apps that auto-update themselves based on real-time data and instructions, unlocking a new paradigm for AI-driven product management. This guide targets developers and builders interested in creating minimal, internal tools or autonomous web apps that actively evolve without manual intervention.
Understanding Codex Sites vs Traditional No-Code Platforms
Codex Sites resembles platforms like Replit and Lovable because it provides an editor, hosting, and server environment within an AI workspace. However, it is more advanced and technical, requiring some comfort with databases and operational concepts. Unlike simpler one-prompt apps, Codex Sites is built for autonomous product building — apps that not only launch but continuously update themselves without developer input.
For example, static websites need manual content updates to reflect changed metrics like newsletter subscriber counts. With Codex Sites, updates are automated — new content, new guides, or collaborator additions happen automatically based on the app’s logic coded as autonomous "agents."
Currently, Codex Sites lacks out-of-the-box support for features like custom domains, payments, or analytics, making it best suited for internal apps and prototypes rather than fully public apps. Yet this limitation is expected to change soon.
Keep reading in The Digest
The full 5-minute article, 17 more sections, and every new episode from Greg Isenberg and the creators you follow.
- Building an Autonomous Startup Ideas OS: A Live Example
- Step 1: Initial Setup and Invoking Codex Sites
- Step 2: Adding Persistence (Memory)
- Step 3: Creating Safe Actions
- Step 4: Defining Skills to Operate the App
- Step 5: Save Gates and Versioning
- Step 6: Proving the Loop — Autonomous Workflow in Action
- Publishing and Current Limitations
- Plugins: Expanding Functionality and User Engagement
- Key Frameworks and Concepts in Codex Sites
- 1. Persistence (Memory)
- 2. Safe Actions
- 3. Skills
- 4. Save Gates
- 5. Autonomous Loop
- Practical Implications and Takeaways
- Actionables for Building with Codex Sites
More from Greg Isenberg
How Will People Make Money in the AI Age?
In the age of AI agents, the landscape of business is undergoing a rapid transformation. This article explores 13 types of businesses poised for success, offering insights into how entrepreneurs can thrive by focusing on scarce inputs, unique experiences, and specialized services.
The Right Way To Write With AI
Nicolas Cole, who has made over $30 million writing online, shares his insights on creating valuable content in the AI era. He explains why generic writing is becoming worthless and how to build a "digital brain" to generate trust and customers.
Jev is HERE. How to use it
Jev, a new AI model, is introduced as a fundamentally different approach to artificial intelligence, offering speed, quality, and affordability that could unlock numerous startup opportunities. This article explores what Jev is, its unique capabilities, and potential use cases for entrepreneurs.
Instinct AI: The AI Assistant for normal people
A deep dive into Instinct AI, the invite-only personal agent app, exploring its features, use cases, and market potential, including a comparison with other AI agents and a look at its unique approach to personal assistance.
Building a Software Factory that actually works (Full Course)
Michael Shimele's YouTube channel explains the concept of a software factory, detailing how AI agents can be leveraged to build software efficiently and reliably.
You're using GPT-6 Astra WRONG
This episode of The Startup Ideas Podcast features Ras Mic and Greg Isenberg discussing the potential of GPT-6 Astra, focusing on practical applications for making money, boosting productivity, and even building hardware businesses, rather than just showcasing flashy demos.