工具简介
Envole 属于「AI 智能体」方向的 AI 产品，提供免费使用方案，支持网页端。官网域名是 envole.ai。
如何使用
- 访问 envole.ai 完成注册，先阅读快速开始文档
- 建立测试项目，按示例跑通第一个用例
- 根据实际需求调整参数与调用方式
- 确认稳定后接入生产流程，并做好错误处理与限流
查看官网原文（英文）
以下为收录时的原文，语言与页面不同，未做翻译。
Envole is a no-code platform that allows users to create AI agents using plain English, transforming workflows with dynamic automations. It supports various input types and integrates with tools like Gmail and Notion for streamlined task management.
官网介绍
Envole is the system where teams turn customer intent into requirements, prototypes, technical designs, and work agents can execute to produce production software.
官方常见问题
- What does Envole do?
- Envole is the system where teams turn customer intent into requirements, prototypes, technical designs, work agents can execute to produce production software. Every stage stays connected to the intent and decisions behind it, so teams build the right thing.
- What does software delivery mean here?
- The complete organizational path from customer and business intent through product, design, engineering, QA, production, and feedback. Envole is not CI/CD or deployment infrastructure.
- Is Envole a project management tool?
- No. Project tools track assignments and status. Envole carries intent and context through the artifacts, decisions, implementation, tests, and feedback required to create software.
- Does Envole replace our tools or coding agents?
- No. Teams keep their CRM, documents, issue trackers, repositories, IDEs, coding agents, and test systems. Envole connects the operating model across them.
- Can we stitch this together ourselves?
- You can, but you will spend months in the exploration phase connecting tools, wiring prompts and MCP servers, maintaining scripts, and seeing what sticks. The harder problem is keeping one cross-functional operating model consistent as teams, agents, and workflows change. Envole provides that opinionated system. We build Envole with Envole, so it is grounded in the messy reality of software delive
- Why not keep requirements and designs in markdown?
- Markdown can work for one engineer and one agent. It does not natively preserve source evidence, structured relationships, cross-functional collaboration, or show what related work a change may affect.
效率与决策 · 常用提示词
下面这些都能直接复制，把里面的变量换成你自己的情况就能用。
- 复杂概念讲给外行：三层递进法用「熟悉物—差异—边界」三步讲清专业概念，适合汇报与科普。
- 决策日志：三个月后知道自己错在哪记录决定、依据、预期与复核时间，用于校准判断力。
- 任务委派：说清「要什么」而不是「怎么做」给委派时的五要素模板，含验收标准与授权边界。
同类工具怎么选
下面是同一类目下已经写好的对比与替代清单。读完这个工具能做什么，接着看它和谁比、有没有更顺手的方案。
AI 智能体类工具的对比
- Manus、扣子的对比Manus 和扣子的横向对比：任务执行、可视化编排、渠道发布、可复用性，附选型结论。
- Dify、扣子的对比Dify 和扣子的横向对比：私有化部署、模型自由度、零代码编排、渠道发布，附选型结论。
- n8n、Dify的对比n8n 和 Dify 的横向对比：系统集成、LLM 编排、知识库、自托管成本，附选型结论。
对话搜索类工具的国内替代
- Gemini 国内替代Google Gemini 在国内无法直接注册使用，网络与支付都有门槛。这份清单按用途给出可直连的替代方案：推理与写代码、多模态、长文档、中文创作，并说明各自顶掉了什么、弱在哪里。
- Grok 国内替代Grok 依托 X 平台，需要海外网络与账号。这份清单给出国内可直连的替代方案，按「实时资讯」「多模型对比」「长资料整理」「深度推理」分类说明。
- Poe 国内替代Poe 的核心是「一个订阅用多家模型」加上自建 Bot。国内没有完全对等的产品，但有两条可行路线：聚合型助手（同一入口横向比较）与厂商全家桶（单一模型、功能更深）。这份清单说清两条路各自的取舍。
对比结论与替代建议为编辑整理，价格与额度以各工具官网为准。