Ultimate プロトタイプ開発 Solutions for Everyone

Discover all-in-one プロトタイプ開発 tools that adapt to your needs. Reach new heights of productivity with ease.

プロトタイプ開発

  • Nekton: Automate routine tasks with cutting-edge AI technology.
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    What is Nekton.ai?
    Nekton uses advanced AI technology to automate everyday tasks and integrate with thousands of services. By connecting different applications, it allows users to create efficient workflows, from gathering product feedback to managing social media posts. This automation tool helps users increase productivity by eliminating repetitive tasks, allowing them to focus on more critical activities. Additionally, it provides a platform to build product prototypes and get notifications about specific events, making it versatile for multiple use cases.
    Nekton.ai Core Features
    • Service integration
    • AI automation
    • Workflow creation
    • Notifications
    • Prototyping
  • Converts natural language queries into SQL via Azure OpenAI, executes them on Neon Postgres, and returns structured results.
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    What is Neon Azure AI Agent?
    Neon Azure AI Agent is an open-source demonstration showing how to build an AI-driven database assistant using Azure OpenAI and Neon Postgres. The agent parses natural language inputs, generates optimized SQL queries, executes them on a serverless Postgres instance, and returns formatted results. Developers can use this repository to quickly prototype conversational data applications, learn integrated Azure AI and Neon DB workflows, and extend the agent with custom functions or data sources for tailored solutions.
  • SwarmFlow coordinates multiple AI agents to collaboratively solve tasks through asynchronous message passing and plugin-driven workflows.
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    What is SwarmFlow?
    SwarmFlow enables developers to instantiate and coordinate a swarm of AI agents using configurable workflows. Agents can asynchronously exchange messages, delegate sub-tasks, and integrate custom plugins for domain-specific logic. The framework handles task scheduling, result aggregation, and error management, allowing users to focus on designing agent behaviors and collaboration strategies. SwarmFlow’s modular architecture simplifies building complex pipelines for automated brainstorming, data processing, and decision support systems, making it easy to prototype, scale, and monitor multi-agent applications.
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