Pi Network launches AI-to-native app converter in major update

Pi Network has launched an update for Pi App Studio, which now supports creating Pi Apps from third-party AI software applications. Now, its 60 million investors and devs lacking technical knowledge to use the platform can use it without the need to develop the necessary back-end technologies for their products.

The update has factored into the abundance of software that creates apps using AI, the problem of how to attract actual users and process payments still persists. Pi App Studio solves this problem by offering a solution to integrate such apps within Pi’s network.

Pi App Studio opens doors for external AI-created apps

The new flow will target ‘vibe coders’ and developers who create applications using external platforms that leverage AI. Some of the supported platforms will be Codex, Claude Code, Replit, Cursor, Lovable, and many other AI coding assistants. 

After creating an application externally, one can easily import it into Pi App Studio to make it an integrated Pi App. This enhancement enables Pi App Studio to move beyond the boundaries of developing within the ecosystem. This will now allow developers to use various AI tools even when they are not yet members of the Pi ecosystem.

The Pi Core Team noted that this functionality changes the formula for creators. While AI handles fast prototyping, Pi provides the distribution channel, payment system, identity verification service, and other human-based platform functionalities to turn an idea into a tangible product.

Integration is supposed to be quick and easy. The creators only need to insert the link to the app built externally in Pi App Studio, provide the necessary information, and use the specially tailored instructions to copy and paste information into external AI platforms.

In this way, the system automatically integrates the Pi SDK, handles authentication, and provides access to Pi payments while complying with all Pi Network developer guidelines.

According to the Pi blog, the entire process may take up to 2 minutes, depending on the app’s complexity. As an example in the Pi video, the app being integrated is a Connect 4 game created on an external AI coding platform.

Is AI integration into finance systems a friend or foe?

Inclusion of AI technology in financial services presents a classic double-edged sword. While AI provides greater efficiency and innovative solutions for businesses, it also raises cybersecurity risks that can lead to market instability worldwide, according to recent statements from the IMF and crypto hacks.

State-of-the-art AI is making the barrier to cybercrime extremely low. As reported by Cryptopolitan, new-age artificial intelligence can detect and exploit software and computer network weaknesses faster and cheaper than ever before.

For instance, in April 2026, hackers tied to North Korea used AI to launch two attacks that earned them more than $600 million. According to blockchain forensics company TRM Labs, AI was instrumental in target identification and exploit creation. These attacks triggered immediate market reactions: investors pulled out a whopping $9 billion within two days from the lending protocol involved.

According to the IMF, Anthropic Claude Mythos Preview is particularly worth paying attention to. It is a potent model that can find vulnerabilities in major operating systems and web browsers despite the lack of professional operators. This feature already proves that there will be more “zero-day” vulnerabilities in the future. Another dangerous technology comes from OpenAI – GPT-5.5.