Idea title
Neighborhood tool lending
One-line summary
Let neighbors rent drills and ladders by the hour instead of buying idle tools.
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A public idea
Neighborhood tool lending
Let neighbors rent drills and ladders by the hour instead of buying idle tools.
- Problem
- Household tools get used a few times a year, but buying them all is expensive and bulky.
- Target users
- Neighbors in the same building who will share tools.
- Core features
- List an item, book a time window, deposit and return confirmation.
- Tech approach
- Start with a WeChat mini program for one neighborhood, then decide on an app.
Product requirementsHousehold tools get used a few times a year, but buying them all is expensive and bulky.
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产品需求文档：需求驱动的Multi-Agent自动化交付系统
需求背景
当前软件开发流程中，从需求提出到最终交付仍需大量人工参与：需求文档编写、任务拆解、开发实现、测试验证、部署上线等环节都依赖人工协调。现有的AI编码助手（如Copilot类工具）主要辅助单个环节，缺少端到端的自动化框架，能够将自然语言需求自动拆解并分配给多个专业Agent协同完成。
本产品旨在构建一套「需求驱动的Multi-Agent自动化交付系统」：用户只需输入自然语言需求描述，系统即可自动完成需求解析与文档生成、Agent智能调度、多Agent协作执行（编码、测试、部署）、全链路日志接入CLS实现可观测，最终自动输出交付物。核心理念是「从需求输入到成果交付，全程自动化，人只需要提出需求和验收结果」。
目标用户包括：技术团队负责人（提升团队交付效率）、独立开发者/创业者（以自动化替代部分人力）、产品经理（加速从需求到原型/MVP的过程）、企业IT部门（快速响应内部需求、降低开发成本）。
需要说明的是：当前多Agent技术（LangChain / AutoGen / CrewAI / MetaGPT）在长链条任务中的成功率与稳定性仍存在较大不确定性，全自动闭环在复杂需求场景下的可靠性属于待验证假设，产品设计中需以「自动化为主、人工干预为辅」的渐进策略降低风险。
功能列表
需求解析引擎
基于NLP与大模型解析用户输入的自然语言需求，自动生成结构化需求文档（PRD）与技术方案，支持模板化输出与需求澄清追问。
用户故事
- 角色 产品经理行为 输入一段自然语言需求描述，获得系统自动生成的结构化PRD和技术方案收益 无需手写需求文档，从想法到可评审文档的周期从数天缩短到数分钟
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Common questions
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