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Appaca Licode is a no-code platform for creating AI-driven applications using LLMs and automated workflows. It allows users to develop personalized AI products without the need for developers, by utilizing a collection of UI components, adaptable workflows, and built-in AI infrastructure. The platform offers API integration, authentication support, and a built-in database for user data management. Appaca features a monetization system with Stripe integration, enabling creators to charge users based on AI utilization. Through automated processes and a user-friendly interface, Appaca allows businesses to efficiently develop, deploy, and manage AI applications while simultaneously managing user accounts and data storage.
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Phoenix.new is a web development tool powered by prompts, created by Fly.io, that enables developers to create and edit applications using straightforward text commands instead of traditional coding. This tool deciphers prompts, automatically generates code, and offers real-time previews via a headless Chrome browser that can interact with the application to verify functionality. Developers may opt for Phoenix.new to significantly speed up their work process, minimize mistakes through live testing, and facilitate rapid prototyping—all while instantly viewing the changes, making it especially useful for teams aiming to quickly iterate ideas or develop functional applications with less technical burden.
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Teachable Machine is an online tool that allows users to swiftly and effortlessly build machine learning models without the need for coding. It offers flexibility by enabling users to utilize files or capture examples in real time. This tool can classify images, audio, and poses, and the models generated can be exported for implementation in websites, applications, and beyond.
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AgentRPC serves as a universal layer for Remote Procedure Calls (RPC), facilitating the connection of AI agents and workflows to functions deployed across different networks and environments. It integrates tools from various programming languages, offers automated service discovery and routing, and is compatible with numerous AI model SDKs. Developers and organizations creating AI agents or intricate distributed systems might leverage AgentRPC to enhance cross-network functionality, support language-independent development, manage long-duration functions, boost observability, and standardize tool definitions for AI models, ultimately simplifying the integration of AI agents with diverse function ecosystems.