ChatGPT is now an app store
PLUS: OpenAI's Codex builds its own tools, AI bubble fears grow, and Google's CodeMender fixes bugs
Welcome back, AI’ers!
Here’s What’s On The Menu For Today
OpenAI turns ChatGPT into an app store
OpenAI's Codex builds its own tools
AI's 'circular' deals spark bubble fears
Google's CodeMender auto-fixes code bugs
AI ON MY MIND
Happy Tuesday,
OpenAI just held its big DevDay event, revealing a major transformation for ChatGPT. The popular AI is evolving into a full-fledged interactive platform where users can build and use apps directly within the chat interface.
With a new SDK and a no-code agent builder now available, the barrier to creating custom AI tools has dropped significantly. Is this the move that turns ChatGPT from a standalone product into a foundational operating system for the next wave of development?
By the way, I've been getting questions about how AI works in practice, so I'm launching a separate newsletter that dives deeper into real business applications and practical advice. [Click here if you're interested].
-Jelani Fuel (Co-founder of Best of AI)
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TODAY’S TOP STORIES

ChatGPT Is Now an App Store
The Recap: OpenAI's its DevDay event just transformed ChatGPT from a conversational AI into a full-fledged interactive platform. The latest updates allow you to build, use, and integrate apps and complex AI agents directly within the chat interface.
Unpacked:
You can now embed and interact with apps like Canva, Spotify, and Zillow without leaving your conversation using the new Apps SDK. This allows for a seamless workflow where you can call on external tools directly inside ChatGPT.
A new toolkit called AgentKit provides a visual, no-code builder for creating complex, multi-agent systems. This dramatically simplifies the process of designing and deploying custom AI workflows for specific tasks.
The AI coding agent, GPT-5-Codex, is now generally available and was used to write 80% of the new Agent Builder tool in under six weeks, showcasing a powerful new era of AI building its own tools.
Bottom line: OpenAI is strategically shifting ChatGPT from a standalone product into a foundational ecosystem, much like an operating system or app store. This move significantly lowers the barrier for creating advanced AI applications, empowering both developers and non-technical creators to build the next wave of AI-native tools.

OpenAI's AI Builds Its Own Tools
The Recap: At its recent DevDay event, OpenAI revealed its AI coding agent, Codex, is building the company's next generation of products, writing 80% of the code for the new Agent Builder tool.
Unpacked:
Internal adoption has soared, with 92% of OpenAI's engineers now using Codex to complete 70% more pull requests each week.
This new pace is dramatically accelerating development, enabling the team to build the entire drag-and-drop Agent Builder from start to finish in just under six weeks.
Developers can now access these capabilities through a new SDK and a Slack integration, part of a suite of developer tools that also includes the new no-code AgentKit.
Bottom line: The barrier for creating powerful AI applications is rapidly dissolving. This marks a new phase where the tools are building themselves, setting the stage for an exponential increase in development speed.
MY FAVORITE AI TOOLS

Relevance is my favorite AI tool right now (even more so than N8N).
Here’s why:
It’s an AI agent building tool that doesn’t require you to build out the logic using nodes. Instead, you use natural language to build out these agents. But the best thing imo is that you can build AI Agent teams.
Like agents talking to each other completing a goal until its done. It’s nuts. No other tool on the market is doing this. You have to check it out.
(Try it out →Link)
👾 AI Tools We Use Everyday
➡️ N8N for AI Agents - Literally use this everyday to write this newsletter (link)
➡️ Axiom AI - AI Browser automation to scrape anything on the web (link)
➡️ GummySearch - AI Reddit research (link)
Tools are sourced from our database and are not sponsored or affiliated.
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MORE NEWS

AI's 'Circular' Deals Stir Bubble Fears
The Recap: OpenAI's new multi-billion dollar deal with chipmaker AMD is fueling concerns about the AI industry's financial structure, where a small group of giants recycle capital among partners in a way that echoes the dot-com bubble.
Unpacked:
At the core of the concern is vendor financing. In these deals, companies like Nvidia invest billions into OpenAI, which then uses that capital to buy chips back from Nvidia. The new AMD deal involves warrants that could make OpenAI a 10% shareholder, further blurring the lines between customer and financier.
The AI boom is being driven by a small handful of companies trading money and services back and forth. OpenAI, Microsoft, Google, Nvidia, AMD, and Oracle are all deeply intertwined, creating a tightly wound ecosystem where the appearance of massive demand is propped up by internal capital shuffling.
Analysts are drawing direct comparisons to the dot-com bubble of the late 90s. Back then, telecom giants like Cisco financed their own customers to buy equipment, creating an artificial demand surge that collapsed when it became clear the market was overestimated.
Bottom line: These self-fueling deals are driving up valuations and creating a powerful narrative of unstoppable AI growth. The critical question is whether authentic, profitable demand from the wider market will materialize to support these investments.

Google's AI Automatically Fixes Code Bugs
The Recap: Google introduced CodeMender, a new AI agent designed to automatically find and fix security vulnerabilities in software code. The tool uses Google's powerful Gemini models to address a critical and time-consuming part of the development process.
Unpacked:
CodeMender operates as an autonomous agent, proactively identifying and patching complex security vulnerabilities without requiring manual intervention from developers.
The system is powered by Google's Gemini Deep Think models, which provide the advanced reasoning capabilities needed to understand code context and generate effective fixes.
This marks a significant move beyond simple bug detection toward automated remediation, showcasing a highly practical application of AI in strengthening cybersecurity.
Bottom line: For developers and security teams, this tool promises to significantly reduce the manual effort spent on patching vulnerabilities. Its introduction points to a future where AI acts as a constant collaborator in building and maintaining more secure codebases.
OTHER NEWS YOU MAY LIKE
OpenAI revealed that ChatGPT has surpassed 800 million weekly active users, a major milestone announced by CEO Sam Altman during the company's DevDay event.
Adobe predicts a 520% surge in AI-assisted online shopping for the upcoming U.S. holiday season, as consumers increasingly rely on AI for recommendations and deal-finding.
Anthropic open-sourced Petri, a new tool that uses AI agents to automate safety testing and stress-test other AI models for misaligned behaviors like deception and information leaks.
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AI ON SOCIAL
You can now chat with apps in ChatGPT.
— OpenAI (@OpenAI)
6:07 PM • Oct 6, 2025
Grok Video first tests... 🤯
— Julie W. Design (@juliewdesign_)
7:09 PM • Oct 6, 2025
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""""I would like your help to create direct response style marketing content for my [service/product].
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THAT’S IT FOR TODAY
Until next time, stay safe.
-Best of AI Team
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