Newest カスタムツール作成 Solutions for 2024

Explore cutting-edge カスタムツール作成 tools launched in 2024. Perfect for staying ahead in your field.

カスタムツール作成

  • Frontly is an AI-powered no-code app builder for swift SaaS and custom internal tool development.
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    What is Frontly?
    Frontly is an innovative, AI-powered no-code platform that allows users to build SaaS applications and custom internal tools quickly and efficiently. With Frontly, you can transform your spreadsheets into dynamic apps, significantly reducing development time and costs. The platform supports integrations with popular tools such as Google Sheets, Supabase, and soon Airtable. Whether for client portals or internal tools, Frontly provides a versatile solution that does not require any coding expertise, making advanced app development accessible to everyone.
  • Create custom tools effortlessly with Fullpilot's AI-powered no-code tool builder.
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    What is Fullpilot?
    Fullpilot is an AI-powered no-code tool builder, enabling users to create custom tools without writing any code or hiring developers. With an intuitive drag-and-drop interface and powerful AI design features, users can build tools that collect data, perform actions, and integrate with third-party services. These tools can be shared via links or embedded on websites to enhance user experience, generate leads, and automate business tasks.
  • ILLA Cloud is an open-source low-code platform for building AI-driven apps and internal tools.
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    What is ILLA Cloud 2.0?
    ILLA Cloud is an open-source low-code platform designed to simplify the development of business applications. Utilizing a visual drag-and-drop interface, developers can quickly build AI-driven applications, data dashboards, admin panels, and various internal tools. The platform is designed to enhance productivity by minimizing manual coding and providing a seamless way to integrate AI capabilities. Whether you are creating a CRM, CMS, or any custom internal tool, ILLA Cloud provides a robust framework for rapid development and deployment.
  • A Python sample demonstrating LLM-based AI agents with integrated tools like search, code execution, and QA.
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    What is LLM Agents Example?
    LLM Agents Example provides a hands-on codebase for building AI agents in Python. It demonstrates registering custom tools (web search, math solver via WolframAlpha, CSV analyzer, Python REPL), creating chat and retrieval-based agents, and connecting to vector stores for document question answering. The repo illustrates patterns for maintaining conversational memory, dispatching tool calls dynamically, and chaining multiple LLM prompts to solve complex tasks. Users learn how to integrate third-party APIs, structure agent workflows, and extend the framework with new capabilities—serving as a practical guide for developer experimentation and prototyping.
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