---
title: "PromptID"
canonical: https://wavect.io/zh/case-studies/promptid/
language: zh
description: "PromptID 是一个面向雇主和高校的 AI 原生教育科技平台。它通过分析思维过程而非奖励死记硬背来考察学习者。底层驱动评估引擎的是一套专有算法。"
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

[← 所有案例研究](/zh/case-studies/)

![PromptID logo](/img/clients/svg/promptid.svg)

案例研究 · 2026

PromptID

# 从零到生产 6 周。试点与投资人演示就绪。

PromptID 是一个面向雇主和高校的 AI 原生教育科技平台。它通过分析思维过程而非奖励死记硬背来考察学习者。底层驱动评估引擎的是一套专有算法。

[“交付了更大团队通常需要更长时间才能完成的工作。 报表改造、安全加固、基础设施优化，他们端到端全部承担。在试点准备和投资人演示期间，他们保持生产环境的稳定。沟通清晰，从未让我们追着要状态更新。优秀的团队！” April Elias Google](https://www.google.com/search?q=wavect+gmbh)

AI 全栈构建 2026 上线

速览

项目类型 全栈构建

行业 [教育科技 AI](/zh/industries/education/)

阶段 种子轮

项目规模 长期 Retainer

年份 2026

技术栈

NestJS NextJS LangChain Kubernetes Terraform Typescript

状态 上线

实例 [promptid.com](https://promptid.com/)

## 概览

PromptID 是一个面向雇主和高校的 AI 原生教育科技平台。它通过分析思维过程而非奖励死记硬背来考察学习者。底层驱动评估引擎的是一套专有算法。

## 挑战是什么？

开发途中市场动了，时间表被压缩一个月。试点对话和投资人演示都在日程上。LLM 无关性、直观 UX、第一天起就要达到生产级，都不可谈。这一个月只能从范围里出，不能从质量里出。

## 我们做了什么决定？

### 原计划缩短一个月。QA 依然保持锋利。

> 原始甘特图末尾有一个月 QA 与测试。市场把这个月拿走了，我们必须更早进入生产就绪。本能反应是削减测试严格度。我们改削功能范围。生产质量这条线通过压缩面积而非压缩测试时间来守住。日程上的投资人演示和试点对话拿到了它们需要的东西。

## 我们做了什么

开发途中时间表被压缩一个月。我们削范围，不削 QA，守住生产线。NestJS API 配 BullMQ 评估队列、NextJS 前端、LangChain 让模型切换只是配置、Kubernetes 自动扩缩容。六周内交付，试点与投资人演示就绪，市场需要它的时候，而不是甘特图说的时候。

## 成果

### 6周 - 从零到生产
- **Category:** 速度

### 试点 + 投资人 - 在市场压力下演示就绪
- **Category:** 业务

想让你的项目也拿到这样的成果？

范围固定。期限固定。已签 SoW。

[联系我们](/zh/contact/)

## 精选界面

![PromptID, screen 3](/img/case-studies/promptid/003_hu_d64c4b9020c1cb09.webp)

![PromptID, screen 4](/img/case-studies/promptid/004_hu_6254aab7d7532db2.webp)

![PromptID, screen 5](/img/case-studies/promptid/005_hu_3a5c023d2f917c66.webp)

![PromptID, screen 6](/img/case-studies/promptid/006_hu_755097b143882b8d.webp)

![PromptID, screen 7](/img/case-studies/promptid/007_hu_5a29b3a7433c3974.webp)

## Architecture & Flows

### 生产架构

Kubernetes 上的 NestJS API 与评估 Worker（自动扩缩容），Postgres 和 Redis 为托管服务，S3 用于上传。LangChain 编排模型无关的 LLM 调用；专有评估引擎与推理模型评估链路以黄色高亮。全链路由 Terraform 配置。

该图展示了简化的高层架构，省略了机密的实现与安全细节。

### 异步提交评估

```
sequenceDiagram
  autonumber
  participant L as Learner Browser
  participant API as NestJS API
  participant Q as BullMQ (Redis)
  participant W as Eval Worker
  participant AI as OpenAI Reasoning
  participant DB as Postgres
  L->>API: POST /submissions
  API->>DB: persist submission
  API->>Q: enqueue eval job
  API-->>L: 202 Accepted
  Q->>W: dispatch job
  W->>AI: evaluate (LangChain)
  AI-->>W: score + construct
  W->>DB: persist evaluation
  L->>API: poll /submissions/{id}
  API->>DB: read evaluation
  API-->>L: feedback payload
```

异步评估流水线。提交立即被确认（202）；推理模型异步对思维过程评分，学习者在下一次轮询时获取结果。

## 客户评价

[Google · Verified](https://www.google.com/search?q=wavect+gmbh)

> **交付了更大团队通常需要更长时间才能完成的工作。** 报表改造、安全加固、基础设施优化，他们端到端全部承担。在试点准备和投资人演示期间，他们保持生产环境的稳定。沟通清晰，从未让我们追着要状态更新。优秀的团队！

April Elias

[Trustpilot · Verified](https://www.trustpilot.com/review/wavect.io)

> **两个独立项目，两次体验都始终如一地积极。** 专业、响应迅速、极具能力且非常容易合作。他们花时间仔细聆听、提出深思熟虑的问题，并确保大家保持一致。技术能力极强，始终超出预期以保持势头。即使需求发生变化，他们仍然保持冷静、协作和以解决方案为导向。强烈推荐 Kevin、Chris 和 Wavect 团队。

Jared Sutton

[Google · Verified](https://www.google.com/search?q=wavect+gmbh)

> **过去 4 年里与 Wavect 一起建立了多家风投支持的初创公司。** 世界一流的团队。他们在探索阶段是出色的思想伙伴，在开发阶段是可靠且可预测的工程师，整体上也是非常棒的合作伙伴。强烈推荐与这个团队合作你的下一个项目。

Joseph Miller

[Google · Verified](https://www.google.com/search?q=wavect+gmbh)

> **效率惊人，专业，工作出色。** 我最近与 Kevin 和他的团队合作了一个大型项目。我计划再次与他合作，并强烈推荐他的服务。

Robert Reynolds

想要同样的影响力？

范围固定。期限固定。已签 SoW。

[联系我们](/zh/contact/)

## 经验总结

模型无关性很快就显出回报。模型格局一直在动，LangChain 的抽象层把模型切换变成配置改动。Kubernetes 自动扩缩容也挣回了位置，不需要过度配置，但能在数秒内吸收负载峰值。

## 技术栈

- [NestJS](https://nestjs.com/)
- [NextJS](https://nextjs.org/)
- [LangChain](https://www.langchain.com/)
- [Kubernetes](https://kubernetes.io/)
- [Terraform](https://www.terraform.io/)
- [Typescript](https://www.typescriptlang.org/)

## 标签

- AI
- EdTech
- LLM

## 链接与资源

[PromptID](https://promptid.com/)

相关服务

- [AI Agent 与产品](/zh/services/artificial-intelligence/)
- [MVP 开发](/zh/services/mvp-development/)
- [定制软件开发](/zh/services/software-development/)

客户引用与商标

Wavect 发布这些案例研究，讲述的是我们自己的工作。客户名称、标识和商标归各自所有者所有，在此仅用于标识相关工作，并不表示任何合作、赞助或背书关系。每个案例描述的是 Wavect 在一项更大工作中的自身贡献，客户自己的团队以及其他服务商也共同促成了这些结果。归属于客户的数据是该客户自行提供的数字。关于我们工作的数据来自我们在页面所示核查日期的记录，可按要求提供证据。评价均转载自各卡片所标注的平台，并链接至原始来源。我们不公开任何合作的商业条款，产品截图的权利仍属于所展示的客户。如果你被列在此处，希望更正、修改或撤下相关内容，请写信给我们，我们会处理： [office@wavect.io](mailto:office@wavect.io)

### [Offlinery](/zh/case-studies/offlinery/)

Offlinery 是一款反向滑屏文化的约会应用。专有算法呈现真正想线下见面的附近用户。已上线 iOS 与 Android。2025 年停运。

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