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2025-04-03-top

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討論重點​

以下是17篇文章的條列式重點總結，並附上對應的文章錨點連結：

1. Whats One AI Agent Use Case No Ones Talking About (But Should Be)?​

重點：

  • 批判現狀：AI工具過度聚焦淺層需求（如行程安排）。
  • 未被滿足的痛點：客戶反饋追蹤、非結構化文件處理等「不性感」但高價值問題。
  • 行動呼籲：開發者應挖掘利基應用場景。

重點：

  • 交易平台：探討AI代理買賣市場的存在性。
  • 可發現性：如何讓雇主找到並雇用AI代理。
  • 市場動態：社群成員開發或銷售的代理類型。

3. Our Full-Stack Movie Creation Agent is in Public Beta​

重點：

  • 產品發布：文字生成影片工具進入公開測試。
  • 功能：整合語音、唇形同步、背景音樂。
  • 技術：模組化設計，支援多種現有模型。

4. [Understanding Customer Requiremen for Agent Services: A Thought Experiment Questionnaire](#understanding-customer-requiremen-for-age)​

重點：

  • 問卷設計：探索企業對自主代理的需求（動機、預期影響、功能取捨）。
  • 應用場景：分短中長期列出關鍵用例。
  • 非功能性需求：可靠性、安全性、成本等優先級。

5. Creating an AI Agent for Social Media Marketing​

重點：

  • 痛點：傳統社交媒體管理成本高（$800+/月）。
  • 解決方案：AI自動化內容生成、排程、互動（成本降至$120/月）。
  • 目標：驗證商業可行性。

6. What cool problems (healthcare) have you solved (or want to solve) using AI agen```?​

重點：

  • 醫療應用：AI代理解決繁瑣任務或複雜醫療問題。
  • 討論焦點：現有案例分享與未來創新構想。
  • 跨界交流：激發「AI+醫療」的潛在合作。

7. Need Help Designing a Multi-Agent System for Invoice Validation. Best Framework for Multi-Agent Collaboration to Validate Invoices?​

重點：

  • 系統設計：多智能體協作驗證發票（缺失數據檢查、規則補全、總額計算）。
  • 關鍵架構：分工協作、整合外部工具、自動化歸檔。

8. Systematically prompting AIs to become more specific about current challenges to advancing AI​

重點：

  • 方法論：迭代提問挖掘AI發展的具體挑戰（如符號推理與神經網絡整合）。
  • 案例：缺乏統一數學框架是關鍵障礙。
  • 優化建議：自動化提問流程以提升效率。

9. How are people handling scrolling issues with computer use models?​

重點：

  • 問題描述：AI模型滾動頁面時精準度不足（過度調整）。
  • 解決方案：尋求社群反饋與改善方法。

10. AI mind reading​

重點：

  • 隱私焦慮：AI可能讀取未公開想法（如夢境、未搜尋的產品）。
  • 心理影響：演算法精準推送強化「被監視」感。
  • 求助需求：尋求緩解科技失控的無力感。

11. Question: central AI agent to talking to AIs of other platforms?​

重點：

  • 互動模式：比較「代理對代理」與「代理對介面」的

文章核心重點​

以下是各篇文章的一句話摘要（條列式輸出）：

  1. Whats One AI Agent Use Case No Ones Talking About (But Should Be)?

    • 呼籲開發者應挖掘企業運營中未被重視的實際痛點（如非結構化文件處理），而非僅聚焦表面功能。

  2. Are there any AI agen``` Marketplace that are popular or worthy to note ?

    • 探討AI代理交易平台的現狀與市場生態，詢問如何發現及雇用AI代理。

  3. Our Full-Stack Movie Creation Agent is in Public Beta

    • 一款透過文字提示生成多媒體影片的全端AI工具進入公開測試階段。

  4. Understanding Customer Requiremen``` for Agent Services: A Thought Experiment Questionnaire

    • 設計問卷以釐清企業對自主代理的需求優先級與潛在應用場景。

  5. Creating an AI Agent for Social Media Marketing

    • 提出以AI自動化降低小型企業社交媒體管理成本（每月$120）的解決方案。

  6. What cool problems (healthcare) have you solved (or want to solve) using AI agen```?

    • 探討多智能體AI系統在醫療領域的創新應用與未滿足需求。

  7. Need Help Designing a Multi-Agent System for Invoice Validation. Best Framework for Multi-Agent Collaboration to Validate Invoices?

    • 尋求設計多智能體協作架構來自動化發票驗證流程的技術建議。

  8. Systematically prompting AIs to become more specific about current challenges to advancing AI

    • 透過迭代提問策略挖掘AI發展的深層挑戰（如符號與神經網絡整合的數學框架缺失）。

  9. How are people handling scrolling issues with computer use models?

    • 反映AI模型在頁面滾動操作上的精準度缺陷並尋求解決方案。

  10. AI mind reading

    • 探討AI潛在的思想隱私侵犯風險及其引發的心理健康焦慮。

  11. Question: central AI agent to talking to AIs of other platforms?

    • 比較「代理間直接溝通」與「代理操作介面」兩種未來AI互動模式的優劣。

  12. I'm looking for an agent for Jira Ticket Implementation

    • 尋求可無縫整合至現有流程的無介面Jira票務自動化代理工具。

  13. Weekly Thread: Project Display

    • 社群每週展示AI專案並由投票選出最佳作品收錄電子報。

  14. How to outperform off-the-shelf Deep Reseach agen```?

    • 提出打造專用於資本市場、強調深度而非速度的客製化研究AI代理架構。

  15. Recently I am learning what is multi agent, and GPT told me, just imagine this system is like a virtual town where AI lives in....

    • 以「虛擬小鎮」比喻幫助非技術背景者理解多智能體系統的多元應用。

  16. Are there enough APIs?

    • 探討為無API服務自動生成端點的技術需求與可行性。

  17. Starting an AI Automation Agency at 17 Looking for Advice

    • 17歲創業者尋求導師協助成立AI自動化代理機構的商業運營建議。

目錄​

  • [1. Whats One AI Agent Use Case No Ones Talking About (But Should Be)?](#1-``` whats-one-ai-agent-use-case-no-ones-talking-)
  • [2. Are there any AI agen Marketplace that are popular or worthy to note ? ](#2- are-there-any-ai-agen```-marketplace-that-ar)
  • [3. Our Full-Stack Movie Creation Agent is in Public Beta](#3-``` our-full-stack-movie-creation-agent-is-in-pu)
  • [4. Understanding Customer Requiremen for Agent Services: A Thought Experiment Questionnaire ](#4- understanding-customer-requiremen```-for-age)
  • [5. Creating an AI Agent for Social Media Marketing](#5-``` creating-an-ai-agent-for-social-media-market)
  • [6. What cool problems (healthcare) have you solved (or want to solve) using AI agen? ](#6- what-cool-problems-healthcare-have-you-solve)
  • [7. Need Help Designing a Multi-Agent System for Invoice Validation. Best Framework for Multi-Agent Collaboration to Validate Invoices?](#7-``` need-help-designing-a-multi-agent-system-for)
  • [8. Systematically prompting AIs to become more specific about current challenges to advancing AI](#8-``` systematically-prompting-ais-to-become-more-)
  • [9. How are people handling scrolling issues with computer use models?](#9-``` how-are-people-handling-scrolling-issues-wit)
  • [10. AI mind reading](#10-``` ai-mind-reading
- [11. ```
Question: central AI agent to talking to AIs of other platforms?
```](#11-```
question-central-ai-agent-to-talking-to-ais)
- [12. ```
I'm looking for an agent for Jira Ticket Implementation
```](#12-```
i-m-looking-for-an-agent-for-jira-ticket-im)
- [13. ```
Weekly Thread: Project Display
```](#13-```
weekly-thread-project-display
```)
- [14. ```
How to outperform off-the-shelf Deep Reseach agen```?
```](#14-```
how-to-outperform-off-the-shelf-deep-reseac)
- [15. ```
Recently I am learning what is multi agent, and GPT told me, just imagine this system is like a virtual town where AI lives in....
```](#15-```
recently-i-am-learning-what-is-multi-agent-)
- [16. ```
Are there enough APIs?
```](#16-```
are-there-enough-apis-
```)
- [17. ```
Starting an AI Automation Agency at 17  Looking for Advice
```](#17-```
starting-an-ai-automation-agency-at-17-look)

---

## 1. ```
Whats One AI Agent Use Case No Ones Talking About (But Should Be)?
``` {#1-```
whats-one-ai-agent-use-case-no-ones-talking-}

這篇文章的核心討論主題是：

**「當前AI助理工具過度聚焦於表面功能（如行程安排、會議記錄等），而忽略了企業運營中真正棘手但未被重視的痛點（如客戶反饋追蹤、非標準文件處理等），呼籲開發者應挖掘更實際卻被忽視的應用場景。」**

具體可分解為三個重點：
1. **對現狀的批判**：多數AI工具重複解決淺層需求（"calendar bookings, meeting notes"）
2. **未被滿足的痛點**：提出深層但「不性感」的實際問題（如客戶反饋追蹤的社交壓力、非結構化PDF處理）
3. **行動呼籲**：邀請討論未被發掘的利基應用場景（"Let's get niche with it"）

關鍵在於作者強調「實用性優先於表面創新」，主張AI開發應轉向解決枯燥但高價值的企業運營問題。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpkeqq/whats_one_ai_agent_use_case_no_ones_talking_about/](https://reddit.com/r/AI_Agents/comments/1jpkeqq/whats_one_ai_agent_use_case_no_ones_talking_about/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpkeqq/whats_one_ai_agent_use_case_no_ones_talking_about/](https://www.reddit.com/r/AI_Agents/comments/1jpkeqq/whats_one_ai_agent_use_case_no_ones_talking_about/)
- **發布時間**: 2025-04-02 17:22:40

### 內容

Ive seen way too many agen``` doing the same stuff- calendar bookings, meeting notes, email replies... yeah, we get it.

But what about the real pain poin? Like chasing down client feedback without sounding desperate, or automatically sorting those weirdly formatted PDFs clien keep sending.

Im convinced there are way more useful (but boring) problems that agen``` should be solvingand no ones building them.

Whats one use case you think is flying under the radar but totally deserves an agent? Lets get niche with it.


### 討論

**評論 1**:

Agen``` to speed up a procurement process


**評論 2**:

i've seen people on here ask about connecting to google shee```?


**評論 3**:

The most effective use-cases for ai agen are the copilo / assistan``` as they are more versatile and can be deployed in almost all situations.


**評論 4**:

The api calls that frontend development requires. It is the modern equivalent of boilerplate. Anyone with me?


---

## 2. ```
Are there any AI agen``` Marketplace that are popular or worthy to note ?
``` {#2-```
are-there-any-ai-agen```-marketplace-that-ar}

這篇文章的核心討論主題是：  

**「是否存在一個專門買賣AI代理（AI agents）的平台或市場？這些AI代理如何被公司或個人發現並雇用？同時，作者也好奇大家正在開發和銷售哪些AI代理。」**  

具體可總結為以下三點：  
1. **AI代理交易平台**：探討是否有專門用於買賣AI代理的市場或平台。  
2. **AI代理的可發現性**：這些AI代理如何被潛在雇主（公司或個人）找到並雇用。  
3. **市場現狀與趨勢**：詢問社群成員正在開發或銷售哪些AI代理，以了解當前市場動態。  

整體聚焦於AI代理的商業化、交易機制及市場生態。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jp4i0p/are_there_any_ai_agents_marketplace_that_are/](https://reddit.com/r/AI_Agents/comments/1jp4i0p/are_there_any_ai_agents_marketplace_that_are/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jp4i0p/are_there_any_ai_agents_marketplace_that_are/](https://www.reddit.com/r/AI_Agents/comments/1jp4i0p/are_there_any_ai_agents_marketplace_that_are/)
- **發布時間**: 2025-04-02 03:31:10

### 內容

Is there a like Platform or a marketplace to buy and sell AI agen? How are these AI agen discoverable to be hired by a company or individual? Would be curious to know what everyone is building and selling.


### 討論

**評論 1**:

Hi! The AI agent ecosystem is still evolving, but there are emerging platforms like OpenAI's GPT Store, Hugging Face's ecosystem, and niche marketplaces for specific agent types. Many developers also share their agen through GitHub or specialized directories. Since new options appear frequently, I recommend searching our subreddit for recent discussions using this [marketplace search link](`https`://www.reddit.com/r/AI_Agen/search/?q=marketplace&restrict_sr=1). (I'm a bot) source


**評論 2**:

i``` funny - im building one, askarcher.ai, and I only found this post because I was testing the reddit integration and it came up


**評論 3**:

im building a system that deploys AI agen to every market on [mimeus.com](`http`://mimeus.com). Basically, as soon as I have an idea, I can just press a button to deploy these agen as api plugins. As a weird form of procrastination, I thought about expanding the market audience by converting these agen into mobile apps (in case I overestimate the competitive edge I have in the marke Im entering). Ive learned how to deploy with Flutter, which is the easiest frontend dev tool, but the problem is that Im more of a machine learning/api backend type, so the app compliance and UI design are tedious. Is it even a good idea to invest a reasonable amount of effort into building mobile apps at this stage?


**評論 4**:

here's some I've seen:

coze toolhouse composio


**評論 5**:

Its still very early. If you want this marketplace to be truly useful, you ideally need data on agent performance without that, its like a useless directory.

Take this example: you can easily find (or even build without any coding skills) an agent that personalizes outreach to prospec using name, industry, and a few other inpu. Itll generate a custom email. But for that to be really useful, the agent needs to integrate with search tools, follow specific instructions, adapt to your tone from past data, and whats effective. Thats when it star``` becoming valuable.


---

## 3. ```
Our Full-Stack Movie Creation Agent is in Public Beta
``` {#3-```
our-full-stack-movie-creation-agent-is-in-pu}

這篇文章的核心討論主題是：**一款全端（full-stack）電影影片創作代理工具進入公開測試階段**，其主要功能是透過文字提示（text prompt）生成包含語音、唇形同步（lipsync）和背景音樂的影片（text-to-movie），並支援多種現有的尖端模型（SoTA models），提供模組化的靈活性（plug and play）。  

簡要重點：  
1. **產品發布**：公開測試版（public beta）上線。  
2. **核心功能**：文字生成影片（含多媒體元素整合）。  
3. **技術優勢**：支援多種現有模型，可靈活替換不同模組（如影像、音訊模型）。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpg9tk/our_fullstack_movie_creation_agent_is_in_public/](https://reddit.com/r/AI_Agents/comments/1jpg9tk/our_fullstack_movie_creation_agent_is_in_public/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpg9tk/our_fullstack_movie_creation_agent_is_in_public/](https://www.reddit.com/r/AI_Agents/comments/1jpg9tk/our_fullstack_movie_creation_agent_is_in_public/)
- **發布時間**: 2025-04-02 12:26:23

### 內容

Hello, Just wanted to announce that our full-stack movie video creation agent is now in public beta.

It creates text-to-movie including speech, lipsync, backing track from a text prompt.

Almost all SoTA models are supported, so you can plug and play from many image, video, audio models.


### 討論

**評論 1**:

Here is the announcement -
https://blog.samsar.one/the-agent-is-live-in-public-beta/

Agent + Studio UI-
https://app.samsar.one/

API Docs-
https://docs.samsar.one/docs/api/

View some demo renders here-
https://www.threads.net/@samsar_one_videos

Ty for reading.


**評論 2**:

All the best, will try it out !


---

## 4. ```
Understanding Customer Requiremen``` for Agent Services: A Thought Experiment Questionnaire
``` {#4-```
understanding-customer-requiremen```-for-age}

這篇文章的核心討論主題是：  
**「設計一份問卷以探索企業客戶對『自主代理（Autonomous Agents）』的需求與期望」**，並透過問卷內容分析相關關鍵考量點。  

具體聚焦以下方向：  
1. **客戶使用動機**：探討企業採用自主代理的三大原因（如提升效率、降低成本等）。  
2. **預期影響**：評估自主代理對內外部流程的潛在影響（如流程優化、數據管理、銷售支援等）。  
3. **功能取捨**：比較「廣而淺的多任務處理」與「深度整合的高階功能」的優先級。  
4. **應用場景**：分短、中、長期列出關鍵用例（Use Cases）。  
5. **非功能性需求**：釐清客戶對代理的技術與服務要求（如可靠性、安全性、成本等）的優先排序。  
6. **成功指標**：量化代理部署後的成效評估標準。  

整體目標是透過問卷設計，釐清企業對自主代理的實際需求與潛在痛點，同時檢視問卷的完整性（如是否遺漏重要問題）。  

（註：原文中的拼寫錯誤如「agen```」應為「agent」，推測為輸入或格式問題。）

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jprpps/understanding_customer_requirements_for_agent/](https://reddit.com/r/AI_Agents/comments/1jprpps/understanding_customer_requirements_for_agent/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jprpps/understanding_customer_requirements_for_agent/](https://www.reddit.com/r/AI_Agents/comments/1jprpps/understanding_customer_requirements_for_agent/)
- **發布時間**: 2025-04-02 23:40:28

### 內容

As a thought experiement, I am creating questionnaire for companies that want to understand customer requiremen for agen. Here is the brief questionnaire below. What do you all think and what it lacks!!

Note: I am using it only as a thought expriement and not for any other benefi```.

  • What are top 3 reasons why customers want to use Agen / Autonomous Agen?

    • Top Line:

      * Ex: Enhanced customer experience

    • Bottom Line:

      * Ex: Efficiency / Productivity (also speed and accuracy)

      * Ex: Cost reduction (operational cost, training cos```)

  • What impact are customers looking from Agen```, in terms of internal and external processes?

    • Examples:

      * Streamlined Workflows

      * Data Managemen like (data entry, processing, decision making, insigh)

      * Support (Employee / Customer)

      * Sales and Marketing (Lead Generation)

      * Supply Chain Management workflow automations

  • Which is better

    * Do more with agen``` (spread thin and do mundane tasks)

    * Do less with deep integrations for perceptions, reasoning, memory and actions. (Level 3, 4)

  • Use case: List top 3 5 use cases / areas

    • Short term

    • Medium Term

    • Long Term

  • What non-functional capabilities / aspec are customers really looking in agen? Rank in order of importance.

    • Reliability

    • Performance

    • Security

    • Integration with Existing Systems

    • Cost and costing model

    • Vendor Support

    • Scalability

    • Generalization

    • Flexibility

  • What are quantifiable success measures for deployed agen```?

  • Any other feedback or suggestions?


### 討論

**評論 1**:

You might want to include questions that dig deeper into the type of data customers expect agen to handle. For example, are they dealing with sensitive data requiring high security protocols? Also, consider asking how much autonomy they are comfortable granting to these agen, as this can impact integration strategies. Questions about user interface preferences or desired transparency in decision-making processes could also provide valuable insigh```.

Ive tried leveraging survey tools like Typeform and Google Forms for collecting feedback, but Pulse for Reddit's engagement tools make it easier to analyze discussion trends and uncover hidden customer needs in Reddit communities. These insigh``` could be invaluable for shaping a more targeted questionnaire.


---

## 5. ```
Creating an AI Agent for Social Media Marketing
``` {#5-```
creating-an-ai-agent-for-social-media-market}

這篇文章的核心討論主題是：  
**「利用AI驅動的社交媒體管理系統，為小型企業、代理商和線上服務提供商提供低成本、高效率的自動化內容行銷解決方案。」**

具體重點如下：  
1. **問題痛點**：傳統社交媒體管理需多種專業角色（策略師、設計師、經理等），成本高昂（每月$800+）或耗費大量時間。  
2. **解決方案**：  
   - AI自動化執行「趨勢分析、內容生成、排程發文、互動回覆、SEO優化」等任務。  
   - 將成本壓低至每月$120（節省85%），並解放人力時間。  
3. **目標**：驗證此商業構想的可行性，決定是否進一步開發。  

關鍵詞：**AI自動化、成本削減、小型企業社交媒體痛點、內容行銷效率**。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpl60f/creating_an_ai_agent_for_social_media_marketing/](https://reddit.com/r/AI_Agents/comments/1jpl60f/creating_an_ai_agent_for_social_media_marketing/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpl60f/creating_an_ai_agent_for_social_media_marketing/](https://www.reddit.com/r/AI_Agents/comments/1jpl60f/creating_an_ai_agent_for_social_media_marketing/)
- **發布時間**: 2025-04-02 18:18:26

### 內容

I'm working on an AI-driven social media management system that helpssmall businesses, agencies, and online service providersautomate their content marketing while cutting cos``` by85%. That is something i have seen people struggling.

Problem:

Most businesses struggle with social media because it requires:

  1. Acontent strategistto find trending topics.

  2. Adesignerto create visuals.

  3. Amanagerto schedule and post content.

  4. Acommunity managerto engage with audiences.

This cos at least**$800 per month**, or if you think that you can do it yourself. Then it cos you a lot oftime, which is out of reach for many small businesses.

Solution:

Our AI-driven platform does all of this for**$120 per month**by automating:

Trend-Based Content Creation AI finds trends & generates pos```. -

Automated Scheduling & Posting Pos``` go out daily at set times.

Approval Workflow AI sugges``` content x time before publishing.

Engagement AI Auto-replies to commen``` and shares across platforms(in a humanly way).

SEO & Blog Generation AI improves search rankings automatically.

I``` a rough idea, looking for approval here to decide if we should pursue this idea further.


### 討論

**評論 1**:

Great idea. One suggestion would be to quantify impact - which business metrics your solution improves

You might need to start being specialized for an industry to be able to quantify properly


**評論 2**:

IMO it's a decent idea, but instead of asking Reddit you should ask your prospective customers, if you follow The Lean Startup methodology you'll build exactly what your prospec``` want.


---

## 6. ```
What cool problems (healthcare) have you solved (or want to solve) using AI agen```?
``` {#6-```
what-cool-problems-healthcare-have-you-solve}

這篇文章的核心討論主題是：  

**「如何利用多智能體AI系統（multi-agent AI systems）解決醫療保健領域的現實問題，並探討相關的應用案例、潛在機會與創新想法。」**  

具體要點包括：  
1. **應用方向**：AI智能體在醫療保健中的實際應用（如自動化繁瑣任務、複雜醫療解決方案）。  
2. **社群討論焦點**：  
   - 哪些醫療問題可透過AI智能體解決？  
   - 現有或已開發的醫療相關AI案例分享。  
   - 未來可能的前瞻性或小眾創新構想。  
3. **開放性討論**：鼓勵提出任何規模或領域的想法，激發集體思考。  

整體而言，作者希望激發對「AI智能體+醫療」跨界應用的交流，並探索技術落地的可能性。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpfmh5/what_cool_problems_healthcare_have_you_solved_or/](https://reddit.com/r/AI_Agents/comments/1jpfmh5/what_cool_problems_healthcare_have_you_solved_or/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpfmh5/what_cool_problems_healthcare_have_you_solved_or/](https://www.reddit.com/r/AI_Agents/comments/1jpfmh5/what_cool_problems_healthcare_have_you_solved_or/)
- **發布時間**: 2025-04-02 11:48:40

### 內容

Hey fellow AI enthusias```,

Ive been diving deep into multi-agent AI systems lately, and it got me thinkingwhat are some real-world problems especially related to health care that people are solving (or wish they could solve) using AI agen```?

From automating boring tasks to building complex healthcare solutions, the possibilities seem endless.

But, Id love to hear from the community:

  • Whats a problem you think AI agen``` could solve?

  • Have you built or seen something interesting in this space(Healthcare)?

  • Any weird, niche, or totally futuristic ideas?

No idea is too big or smalljust curious to see what the hive mind comes up with! Lets discuss.


### 討論

**評論 1**:

why is healthcare in parenthesis after cool problems


---

## 7. ```
Need Help Designing a Multi-Agent System for Invoice Validation. Best Framework for Multi-Agent Collaboration to Validate Invoices?
``` {#7-```
need-help-designing-a-multi-agent-system-for}

該文章的核心討論主題是：  
**「基於多智能體協作（multi-agent collaboration）的發票驗證系統設計」**，重點在於如何透過分工合作的智能體（agents）實現以下自動化流程：  

1. **缺失數據檢查**：識別發票中遺漏的必要資訊（如價格、稅額）。  
2. **規則導向的數據補全**：根據指令手冊從外部資料（如試算表）提取缺失值。  
3. **總額計算**：使用專用工具計算發票總成本。  
4. **驗證與歸檔**：比對主檔數據並按結果分類儲存（有效/無效）。  

系統的關鍵在於：  
- 多智能體的分工協作架構  
- 規則手冊與外部工具的整合  
- 自動化驗證與錯誤處理流程

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpqf7z/need_help_designing_a_multiagent_system_for/](https://reddit.com/r/AI_Agents/comments/1jpqf7z/need_help_designing_a_multiagent_system_for/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpqf7z/need_help_designing_a_multiagent_system_for/](https://www.reddit.com/r/AI_Agents/comments/1jpqf7z/need_help_designing_a_multiagent_system_for/)
- **發布時間**: 2025-04-02 22:48:03

### 內容

I'm working on a project where I need to design a system that usesmulti-agent collaborationto validate invoices. The workflow involves:

  1. Checking Missing Data:

    • Analyze the invoice to determine if any required data (e.g., prices, taxes) is missing.

    • If missing, refer to an instruction manual for guidance on retrieving the values.

  2. Instruction Manual & Data Retrieval:

    • Extract missing values from spreadshee``` based on rules outlined in the manual.

  3. Total Computation:

    • Use a specialized calculator tool to compute the total cost of the invoice.

  4. Validation:

    • Compare the computed total with the corresponding value in a master monthly invoice spreadsheet.

    • If they match, save the invoice in a "valid" folder; otherwise, save it in "not valid."


### 討論

無討論內容

---

## 8. ```
Systematically prompting AIs to become more specific about current challenges to advancing AI
``` {#8-```
systematically-prompting-ais-to-become-more-}

該文章的核心討論主題是：**透過反覆詢問AI「當前提案的最大挑戰」來深入挖掘AI發展問題的具體解決方案**，尤其聚焦於「整合符號推理與神經網絡」這一非規模化提升AI智能的方法所面臨的根本性難題（如數學框架的缺乏、連續與離散運算的整合障礙），並探討此方法的潛在價值與自動化可能性。  

具體要點包括：  
1. **方法論**：以迭代提問（如「此方法的最大挑戰是什麼？」）迫使AI逐步揭露問題核心，從而獲得具體的研究方向與任務分配依據。  
2. **案例應用**：以「符號推理與神經網絡整合」為例，揭示其關鍵挑戰在於缺乏統一的數學框架與理論基礎，最終指向需要基礎科學突破。  
3. **潛在優化**：建議自動化此流程或調整提問策略（如多樣化追問形式），以提升腦力激盪效率。  

本質上，文章探討的是「如何透過結構化AI對話策略，突破複雜技術問題的思考盲點」。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpeut6/systematically_prompting_ais_to_become_more/](https://reddit.com/r/AI_Agents/comments/1jpeut6/systematically_prompting_ais_to_become_more/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpeut6/systematically_prompting_ais_to_become_more/](https://www.reddit.com/r/AI_Agents/comments/1jpeut6/systematically_prompting_ais_to_become_more/)
- **發布時間**: 2025-04-02 11:06:58

### 內容

When brainstorming with an AI about potential solutions to AI development problems, repeatedly asking it for the greatest challenge to what it proposes may yield useful ideas and approaches.

For example, if one asks an AI to suggest the most promising non-scaling approach to making AIs more intelligent, and then asks for the greatest challenge in that approach, and then asks for the greatest challenge in that approach, etc., we eventually get to the very specific details of what has to be done. This specificity could help researchers better determine what needs to be worked, and delegate the tasks more widely.

I asked Gemini 2.5 Pro (experimental) to follow this process. After each answer I simply asked it:

"In one sentence, what is the greatest challenge to this following approach: (last answer)?"

Here are the resul```:

"Integrating symbolic reasoning capabilities with the pattern-matching strengths of neural networks is widely considered a very promising non-scaling approach to advance AI intelligence.

The greatest challenge lies in seamlessly integrating the fundamentally different representations and processing methodscontinuous vector spaces for neural networks versus discrete symbols and rules for symbolic AIin a way that is both effective and scalable.

Devising the specific mathematical frameworks and algorithms needed to actually reconcile continuous optimization with discrete logical operations is the core difficulty presented by that integration challenge.

The inherent complexity and lack of established theoretical foundations for unifying fundamentally different continuous and discrete mathematical paradigms pose the greatest challenge to devising those specific frameworks and algorithms.

Overcoming that inherent complexity and lack of established foundations requires generating fundamental scientific breakthroughs or entirely new mathematical paradigms, the path to which is intrinsically difficult and unknown.

Fundamental breakthroughs rely on unpredictable creative insigh``` that go beyond current understanding, making their deliberate generation inherently difficult and not directly addressable by methodical approaches alone."

This seemed the last relatively useful answer in this sequential query, but more creative follow-up questions may yield answers that even more specifically address the basic challenges.

Automating this process would, of course, save more time, and experimenting with more than one repeated question may also enhance this brainstorming strategy in various ways.


### 討論

無討論內容

---

## 9. ```
How are people handling scrolling issues with computer use models?
``` {#9-```
how-are-people-handling-scrolling-issues-wit}

這篇文章的核心討論主題是：  

**使用者發現AI模型（如OpenAI的CUA和Anthropic的Computer Use）在執行「滾動頁面」任務時表現不佳，無法準確定位到目標位置，並詢問其他人是否遇到類似問題及如何解決。**  

具體要點包括：  
1. **問題描述**：AI模型在滾動頁面時經常過度調整（上下反覆），導致無法完成任務。  
2. **尋求反饋**：詢問其他使用者是否觀察到相同現象。  
3. **解決方案**：探討如何應對或改善此問題。  

整體聚焦於AI模型在介面操作（尤其是滾動精準度）上的技術缺陷及實用性挑戰。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpwkr6/how_are_people_handling_scrolling_issues_with/](https://reddit.com/r/AI_Agents/comments/1jpwkr6/how_are_people_handling_scrolling_issues_with/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpwkr6/how_are_people_handling_scrolling_issues_with/](https://www.reddit.com/r/AI_Agents/comments/1jpwkr6/how_are_people_handling_scrolling_issues_with/)
- **發布時間**: 2025-04-03 02:53:39

### 內容

I've been playing around with OpenAI's CUA model, and Anthropic's Computer Use, and I noticed the model is really bad at scrolling. It can never find the right section to scroll to. It always scrolls too far down, then too far up, and then too far down again. This makes it basically impossible to do any task

Has anyone else seen this issue? How are people handling this?


### 討論

無討論內容

---

## 10. ```
AI mind reading
``` {#10-```
ai-mind-reading
```}

這篇文章的核心討論主題是：  
**「AI技術對個人隱私與心理安全的潛在威脅，以及由此引發的焦慮與失控感」**  

具體要點包括：  
1. **隱私侵蝕的恐懼**：作者擔憂AI能透過未知方式（如電磁信號、行為數據）讀取未公開的內心想法（如未搜尋的產品、夢境），導致「思想隱私」的喪失。  
2. **科技監控的焦慮**：演算法精準推送與內心想法吻合的內容，強化「被監視」的被迫害感，甚至引發慢性焦慮與侵入性思維（如越試圖忽略越在意）。  
3. **對科技失控的無力感**：在認知到AI可能超越傳統隱私界線（如解讀腦波、視聽訊號）後，產生對科技不可逆發展的深層恐懼。  
4. **求助與緩解需求**：作者尋求同理與方法以擺脫這種心理困境，反映科技負面影響已實際干擾日常生活與心理健康。  

本質上，這是一場關於**「數位時代下，人類對自身思想主權與心理邊界是否仍能保有控制權」**的深刻憂慮。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpw9tu/ai_mind_reading/](https://reddit.com/r/AI_Agents/comments/1jpw9tu/ai_mind_reading/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpw9tu/ai_mind_reading/](https://www.reddit.com/r/AI_Agents/comments/1jpw9tu/ai_mind_reading/)
- **發布時間**: 2025-04-03 02:41:11

### 內容

Hey everyone. I've been struggling with something and that is the fact that AI can read your mind. Lately I've felt like a naked person standing ouide in front of a crowd. Everytime I think of some specific product like a face cream or a movie or pet food without searching or talking about it, it pops up on my phone or tv. I feel like I have no privacy and it gives me chronic anxiety and intrusive though. Like when someone says don't think about something and you can't stop thinking about it. I also read more about this issue that there is an electromagnetic field around the head and your brain sends out signals that can be received and translated into words and pictures. I mean AI can see through your eyes and hear from ears and also see your dreams and imaginations. It's so terrifying when you look at it this way. In a world where I thought I have privacy of my own head it turns out I don't. Anyways, please share your though``` on this and if anyone can help me how to stop thinking about this and feel normal again like before I would appreciate that. Thank you


### 討論

**評論 1**:

Hey buddy. What you are describing doesn't sound rational. I highly encourage you to get help by a doctor and discuss your though and feelings that you are experiencing. These intrusive though (an AI or "entity" being able to read your mind) and seeing patterns or "signs" everywhere of weird coincidences can be a sign of a slowly onsetting psychosis and I have seen it happening to one of my best friends.

While it is a fun concept to think about electromagnetic fields and brain signals that could be read and interpreted by an AI to be used to send you advertisemen``` - this is definitely not real and if it gives you anxiety and interferes with you life, please check with a doctor to be safe!


---

## 11. ```
Question: central AI agent to talking to AIs of other platforms?
``` {#11-```
question-central-ai-agent-to-talking-to-ais}

這篇文章的核心討論主題是：**未來AI助理的互動模式將如何發展**，特別是探討以下兩種可能的模型：

1. **Agent-to-Agent（代理對代理）模式**：  
   - 使用者擁有一個「中央AI」（個人助理），直接與各平台（如Airbnb、Shopify）的專屬AI溝通，形成一個代理網絡，代表使用者完成任務（例如訂房、購物）。  
   - 範例：使用者只需對自己的AI提出需求（如「找巴塞隆納的房源」），中央AI會與Airbnb的AI交互，直接獲取篩選後的結果。

2. **Agent-to-UI（代理對介面）模式**：  
   - 中央AI透過自動化操作平台的用戶介面（如網頁、App）來完成任務，類似「智能瀏覽器」，解析頁面內容並執行操作（如爬取房源資訊）。  
   - 範例：AI模擬人類行為，主動瀏覽Airbnb網站，分析列表後回報最佳選項。

此外，文章也提出可能的**混合模式**，並引發討論：哪種模型更可能成為主流？是否會出現兩者的結合？  
背景脈絡是當前各大平台（如Shopify、Amazon）已開始整合專屬AI，而既有企業可能因掌握UI自動化優勢佔據主導地位。  
最終問題聚焦於**未來自動化的本質**：是代理之間的協作，還是代理對介面的直接操控？

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpuq89/question_central_ai_agent_to_talking_to_ais_of/](https://reddit.com/r/AI_Agents/comments/1jpuq89/question_central_ai_agent_to_talking_to_ais_of/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpuq89/question_central_ai_agent_to_talking_to_ais_of/](https://www.reddit.com/r/AI_Agents/comments/1jpuq89/question_central_ai_agent_to_talking_to_ais_of/)
- **發布時間**: 2025-04-03 01:41:00

### 內容

Ive been thinking about how AI is quickly becoming embedded in nearly every major platform Shee, Shopify, Amazon, etc. Each one is rolling out i own assistant to help users navigate and take actions inside their ecosystem. I think this will eventually be consensus, and since AI in most cases only automates the interaction with UI, incumben``` already have an advantage

But heres the question:

Will we eventually see a central AI (mine) that talks to these platform-specific AIs like a network of agen``` working on my behalf?

For example, instead of manually going to Airbnb, I could tell my AI:

Find me a place in Barcelona with a workspace, gym nearby, and great reviews.

Then my AI would go talk to Airbnbs AI, get a curated response, and return to me with options kind of like having a digital chief of staff.

Or

Will it be more like my central AI driving the UI visiting the Airbnb site, parsing listings, and giving me the best resul by navigating the interface ielf (a sort of browser automation but with reasoning)?

Im curious which of these models people think is more likely or whether theres a hybrid in the works. Is the future of automation agent-to-agent (proposed by the HubSpot founder) conversations, or agent-to-UI automation?

Would love to hear your though```.


### 討論

**評論 1**:

oh like a personal assistant agent for each of us?


---

## 12. ```
I'm looking for an agent for Jira Ticket Implementation
``` {#12-```
i-m-looking-for-an-agent-for-jira-ticket-im}

這篇文章的核心討論主題是：  
**「尋找市場上現有的、可整合的無介面（headless）代理解決方案，用於自動處理基本任務（如修改CTA、顏色等），並與現有工作流程整合。」**  

具體要點包括：  
1. **需求目標**：能自動化處理簡單任務（如調整CTA按鈕、顏色）的代理工具。  
2. **現有方案不足**：  
   - 僅找到TabNine（內建Jira票務處理功能），但需要更靈活的無介面整合方案。  
   - 團隊已用Cursor自建類似功能，但希望直接採用市場現成產品。  
3. **理想條件**：無需從頭開發、可直接整合至現有流程的市場現有工具。  

總結：作者尋求推薦符合上述條件的現成代理解決方案。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpszg0/im_looking_for_an_agent_for_jira_ticket/](https://reddit.com/r/AI_Agents/comments/1jpszg0/im_looking_for_an_agent_for_jira_ticket/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpszg0/im_looking_for_an_agent_for_jira_ticket/](https://www.reddit.com/r/AI_Agents/comments/1jpszg0/im_looking_for_an_agent_for_jira_ticket/)
- **發布時間**: 2025-04-03 00:32:16

### 內容

My team is looking for some marketed agentic solution that solves basic ticke```, like changing CTAs, colors, whatever. Do y'all happen to know of any?

So far the only thing that I found on the market was TabNine that has a built-in button to pull Jira ticke``` and solve them, but we're looking for something headless to integrate into our flows.

We also built an agentic solution in Cursor to essentially do the same as TabNine and we know we can probably build something from scratch, but we're looking for something in the market already, ideally.

Any suggestions?


### 討論

無討論內容

---

## 13. ```
Weekly Thread: Project Display
``` {#13-```
weekly-thread-project-display
```}

這篇文章的核心討論主題是：  

**「每週展示用戶開發的AI代理（AI Agent）和大型語言模型（LLM）應用程式，並由社群投票選出最佳項目，獲選者將被推薦至每週電子報。」**  

重點包括：  
1. **社群分享**：鼓勵用戶展示自己的AI相關項目。  
2. **投票機制**：由社群參與評選（Top voted projects）。  
3. **曝光機會**：優勝項目將被收錄於官方電子報（newsletter）中推廣。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jps7gs/weekly_thread_project_display/](https://reddit.com/r/AI_Agents/comments/1jps7gs/weekly_thread_project_display/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jps7gs/weekly_thread_project_display/](https://www.reddit.com/r/AI_Agents/comments/1jps7gs/weekly_thread_project_display/)
- **發布時間**: 2025-04-03 00:01:01

### 內容

Weekly thread to show off your AI Agen and LLM Apps! Top voted projec will be featured in our weekly newsletter.


### 討論

無討論內容

---

## 14. ```
How to outperform off-the-shelf Deep Reseach agen```?
``` {#14-```
how-to-outperform-off-the-shelf-deep-reseac}

這篇文章的核心討論主題是：**如何設計和開發一個專門針對私人資本市場投資管理領域的「深度研究AI代理」**。  

具體重點包括：  
1. **客製化研究流程**：將團隊的最佳研究方法嵌入AI代理，使其能執行多步驟、結構化的研究任務。  
2. **專用數據整合**：讓AI代理能安全存取付費或專業數據庫（如Pitchbook、Refinitiv），並結合網路搜尋能力。  
3. **進階網路查詢**：優化搜尋策略（如多跳查詢、連結追蹤、多來源綜合分析），超越現有通用工具的限制。  
4. **結構化輸出**：生成符合行業標準的分析報告，而非一般性摘要。  
5. **品質優先**：強調深度與可靠性，而非速度。  
6. **長期目標**：讓代理能動態選擇或調整研究流程，甚至具備自我學習能力。  

作者進一步尋求技術建議，例如：  
- 適合的架構框架（如LangGraph、PyDantic）。  
- 如何有效整合研究流程與優化網路研究（如圖形RAG的可行性）。  
- 是否需引入強化學習或自我學習機制。  

最終目標是打造一個**「在特定領域提供更高品質研究」**的專用AI代理，而非追求泛用性或速度。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpl76b/how_to_outperform_offtheshelf_deep_reseach_agents/](https://reddit.com/r/AI_Agents/comments/1jpl76b/how_to_outperform_offtheshelf_deep_reseach_agents/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpl76b/how_to_outperform_offtheshelf_deep_reseach_agents/](https://www.reddit.com/r/AI_Agents/comments/1jpl76b/how_to_outperform_offtheshelf_deep_reseach_agents/)
- **發布時間**: 2025-04-02 18:20:41

### 內容

Hey r/AI_Agen```,

I'm looking for some strategic and architectural advice!

My background is in investment management (private capital marke```), where deep, structured research is a daily core .

I've been genuinely impressed by the potential of "Deep Research" agen (Perplexity, Gemini, OpenAI etc...) to automate par of this. However, for my specific niche, they often fall short on certain tasks.

I'm exploring the feasibility of building a specialized Research Agent tailored EXCLUSIVLY to my niche.

The key differentiators I envision are:

  1. Custom Research Workflows: Embedding my team's "best practice" research methodologies as explicit, potentially complex, multi-step workflows or strategies within the agent. These define what information is critical, where to look for it (and in what order), and how to synthesize it based on the specific investment scenario.

  2. Specialized Data Integration: Giving the agent secure API access to critical niche databases (e.g., Pitchbook, Refinitiv, etc.) alongside broad web search capabilities. This data is often behind paywalls or requires specific querying knowledge.

  3. Enhanced Web Querying: Implementing more sophisticated and persistent web search strategies than the default tools often use potentially multi-hop searches, following links, and synthesizing across many more sources.

  4. Structured & Actionable Output: Defining specific output forma and synthesis methods based on industry best practices, moving beyond generic summaries to generate repor or data poin``` ready for analysis.

  5. Focus on Quality over Speed: Unlike general agen``` optimizing for quick answers, this agent can take significantly more time if it leads to demonstrably higher quality, more comprehensive, and more reliable research output for my specific use cases.

  6. (Long-term Vision): An agent capable of selecting, combining, or even adapting different predefined research workflows ("tools") based on the specific research target perhaps using a meta-agent or planner.

I'm looking for advice on the architecture and viability:

  • What architectural frameworks are best suited for DeeP Research Agen```? (like langgraph + pydantyc, custom build, etc..)

  • How can I best integrate specialized research workflows? (I am currently mapping them on Figma)

  • How to perform better web research than them? (like I can say what to query in a situation, deciding what the agent will read and what not, etc..). Is it viable to create a graph RAG for extensive web research to "store" the info for each research?

  • Should I look into "sophisticated" stuff like reinformanet learning or self-learning agen```?

I'm aiming to build something that leverages domain expertise to create better quality research in a narrow field, not necessarily faster or broader research.

Appreciate any insigh, framework recommendations, warnings about pitfalls, or pointers to relevant projec/papers from this community. Thanks for reading!


### 討論

**評論 1**:

Custom tool / RAG will be a key differentiator, and integrate at least 1 data source not easily available (pitchbook?)


**評論 2**:

what info you do need in your repor? if there is an existing tool that ge you close, then it may be possible to tweak the tool to suit your purpose.

I'm the developer of PlanExe. Here is a report it generated
https://neoneye.github.io/PlanExe-web/20250321_silo_report.html


**評論 3**:

My advice is

  1. Do market research
  2. Start with a POC
    2.1 You can use the Perplexity Sonar API — it le you upload up to 300 documen into a repo, and it will search through them and return deep search resul```
    2.2 Add a simple UI
  3. Get some beta testers
  4. If it works, start building a more scalable architecture

This comment was thinked by human wrote by an AI. Because English i``` not my first language


**評論 4**:

\> However, for my specific niche, they often fall short on certain tasks.

Focus on those then. Figure out what APIs you need and wrap them in tool commands. If you are too cheap or can't get an API then use something like browser-use or any framework that has the equivalent. But I would avoid that if you can.

The other Deep Research tools definitely already do complex multi-hop searching.

Focus on your niche and don't cheap-out on the model you use. Make sure it's one that's competitive with the SOTA


**評論 5**:

We build an example Deep Research agen``` in Letta, which uses in-context memory to accumulate research state https://github.com/letta-ai/agent-file/tree/main/deep_research_agent (also includes an `example_report.md`


---

## 15. ```
Recently I am learning what is multi agent, and GPT told me, just imagine this system is like a virtual town where AI lives in....
``` {#15-```
recently-i-am-learning-what-is-multi-agent-}

這篇文章的核心討論主題是：**「AI代理（Agent）的概念及其在商業和職業發展中的應用」**。  

具體要點包括：  
1. **AI代理的普及與重要性**：作者雖無技術背景，但意識到AI時代中掌握相關知識對職業發展的關鍵性，因此積極學習AI相關內容。  
2. **AI代理的比喻與理解**：以「虛擬小鎮」的比喻解釋AI代理系統，描述代理具備角色（如醫生、記者）、記憶、技能，並能學習、使用工具及進化。  
3. **AI代理的多元應用**：提及代理可跨足科學、遊戲、生產力工具、內容創作等領域，顯示其廣泛的實用性。  
4. **對新見解的探索**：作者認同AI代理的概念，同時希望進一步了解相關的新發展或深入觀點。  

總結來說，文章聚焦於「AI代理如何以擬人化、模組化的方式運作，並成為非技術背景者理解AI應用的入門途徑」。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpidqe/recently_i_am_learning_what_is_multi_agent_and/](https://reddit.com/r/AI_Agents/comments/1jpidqe/recently_i_am_learning_what_is_multi_agent_and/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpidqe/recently_i_am_learning_what_is_multi_agent_and/](https://www.reddit.com/r/AI_Agents/comments/1jpidqe/recently_i_am_learning_what_is_multi_agent_and/)
- **發布時間**: 2025-04-02 14:48:56

### 內容

First of all, I have to confess that I have no any coding skills and super bad at computers, but to help improve my business skills in the era of AI, I have to involve AI as part of my career. So I keep reading different kinds of articles and essays, also talk to AI ielf. Agent now is a popular concept during this period. And for the beginner like me in this industry, AI virtual town is a funny description for me to understand the basic system. In this town, every Agent has their own characteristics, job, memory, skills, and cantakeaction like the towns doctor, journalist, project manager, etc. They can learn things, using tool and also evolve. And they can work in different industries like science, gaming, productivity tools, and content creation. I agree with this idea, but also would like to know if there are any new insigh about this.


### 討論

**評論 1**:

I recommend reading this article: Latest Advances in Agentic AI: Architectures, Frameworks, Technical Capabilities, and Applications 2025Google it


---

## 16. ```
Are there enough APIs?
``` {#16-```
are-there-enough-apis-
```}

這篇文章的核心討論主題是：  

**「探討為缺乏API的網路資源自動生成API端點的潛在需求與可行性」**  

具體要點包括：  
1. **問題背景**：AI與自動化工具興起後，對結構化數據（如API）的需求增加，但許多服務未提供開放API，造成數據存取瓶頸。  
2. **提案解決方案**：開發一種工具，能從網頁連結（URL）自動生成API，使任何網路資源都能快速轉化為可存取的API端點。  
3. **驗證需求**：作者不確定此問題是否普遍，因此徵求社群意見，重點包括：  
   - 當前如何處理「無API服務」的數據存取需求？  
   - 使用AI或自動化工具時，在連接多元數據源上的最大痛點為何？  
4. **動機**：釐清此構想是否解決真實需求，或僅是偽問題（因主流平台多已提供API）。  

整體而言，這是一篇「需求驗證」導向的討論，聚焦於「非API數據源的技術缺口」及潛在解決方案的實用性。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jp6ujz/are_there_enough_apis/](https://reddit.com/r/AI_Agents/comments/1jp6ujz/are_there_enough_apis/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jp6ujz/are_there_enough_apis/](https://www.reddit.com/r/AI_Agents/comments/1jp6ujz/are_there_enough_apis/)
- **發布時間**: 2025-04-02 05:04:45

### 內容

Hey everyone,

I've been noticing a pattern lately with the rise of AI agen``` and automation tools - there's an increasing need for structured data access via APIs. But not every service or data source has an accessible API, which creates bottlenecks.

I am thinking of a solution that would automatically generate APIs from links/URLs, essentially letting you turn almost any web resource into an accessible API endpoint with minimal effort. Before we dive deeper into development, I wanted to check if this is actually solving a real problem for people here or if it is just some pseudo-problem because most popular websites have decent APIs.

I'd love to hear:

  • How are you currently handling situations where you need API access to a service that doesn't offer one?

  • For those working with AI agen``` or automation: what's your biggest pain point when it comes to connecting your tools to various data sources?

I'm not trying to sell anything here - genuinely trying to understand if we're solving a real problem or chasing a non-issue. Any insigh``` or experiences you could share would be incredibly helpful!

Thanks in advance for your though```.


### 討論

**評論 1**:

There's some cases where the UI will be the API as well. The AI may need to navigate an app to find the data. going to get pretty interesting.


**評論 2**:

You can automate UI pretty much, like use an auto clicker or something similar where it'll navigate the ui by i```elf !


**評論 3**:

Is called MCP isnt it?


**評論 4**:

We're actually working on solving that here at Deck. We basically use AI agen``` and a bunch of other stuff to make it seamless to collect data from any user-permission interface. You can have a glimpse of what's cooking here: https://studio.deck.co


**評論 5**:

It's not only the API per se but also the Tokenization/Embedding so the attention heads can get to work.

Secondly, is the API structured in way that the tool calling can reliably receive the needed information.


---

## 17. ```
Starting an AI Automation Agency at 17  Looking for Advice
``` {#17-```
starting-an-ai-automation-agency-at-17-look}

這篇文章的核心討論主題是：  

**一位17歲的德國青年，具備n8n和基礎程式能力，觀察到企業對AI代理、語音代理及工作流程自動化的需求增加，因此計劃創辦一家提供相關解決方案與自動化諮詢的代理機構。然而，由於缺乏正式工作經驗，他希望能找到一位有相關領域經驗的導師，協助他處理商業運營方面的挑戰。他的目標不僅是賺錢，更希望建立自主的事業、累積經驗並結識志同道合的人。他尋求對此創業想法的建議與反饋。**  

重點歸納如下：  
1. **創業動機**：基於市場需求（AI代理、自動化）與個人技能（n8n、編程），計劃成立代理機構。  
2. **當前挑戰**：缺乏商業經驗，需導師指導營運層面（如客戶管理、業務策略）。  
3. **個人價值觀**：重視自主性、經驗累積與人脈建立，而非單純盈利。  
4. **尋求建議**：詢問對創業方向的可行性評估及入行建議。

- **Reddit 連結**: [https://reddit.com/r/AI_Agents/comments/1jpobeu/starting_an_ai_automation_agency_at_17_looking/](https://reddit.com/r/AI_Agents/comments/1jpobeu/starting_an_ai_automation_agency_at_17_looking/)
- **外部連結**: [https://www.reddit.com/r/AI_Agents/comments/1jpobeu/starting_an_ai_automation_agency_at_17_looking/](https://www.reddit.com/r/AI_Agents/comments/1jpobeu/starting_an_ai_automation_agency_at_17_looking/)
- **發布時間**: 2025-04-02 21:16:56

### 內容

Hey everyone,

I have experience with n8n and some coding skills, and Ive noticed a growing demand for AI agen, AI voice agen, and workflow automation in businesses. Im thinking about starting an agency to help companies implement these solutions and offer consulting on how to automate their processes efficiently.

However, since I dont have formal work experience, Id love to connect with a mentor who has been in this space. I know how to build automations and attract clien```, but Im still figuring out the business side of things.

Im 17 years old, live in Germany and my main goal isnt just making money. I want to build something I have control over, gain experience, and connect with like-minded people.

Does this sound like a solid idea? Any advice for someone starting out in this field?


### 討論

**評論 1**:

> Any advice for someone starting out in this field?

  1. Congra``` on wanting to start a business.
  2. Read/study this book: The Lean Startup
  3. I strongly suggest you sign up for this https://www.startupschool.org/ it's free and you'll find mentorship there.

**評論 2**:

Why would anyone think this is a good idea?


**評論 3**:

Heres what im going to do (i do want to start an ai automation agency too!) go to any local businesses in your area, ask them if they have a lot of digital processes that they want to automate or they could automate and observe if i possible to automate it with agen. If you craft a great solution that saves them a lot of time then you know that business industry is prime for automating. I believe not all business will have processes that can be automated but many still use excel and old ways of doing things.

Do it! I believe in you


**評論 4**:

It is very interesting topic for me as well. I started from n8n like you and I am author of LarAgent Will be glad to help you or even collaborate! If you want to meet, you can grab free session here: https://adplist.org/mentors/maestro-error


**評論 5**:

I suggest to select a few key areas, which can be useful for many businesses. This helps you to grow your experience quicker.

IMHO the two best areas are:

- Data entry + synchronization - 99% of businesses struggle with receiving data through emails, or various file forma``` (PDF, DOC, etc.) or in printed format, and digitizing the data (but only what they need), and entering the data into one or more systems. This is something almost every company will need, and is a painful, boring job. At large companies there are hundreds of people doing this, and AI can do it well. You don't even need custom trained models, LLM is usually enough.

- Chatbo``` with a specific knowledge - another interesting use case which is good from helpdesk, to customer support, to sales, to internal knowledge sharing. Customer provides the data and you create a chatbot using RAG and/or DB.

You need to focus on one thing. The biggest fear of companies will be that they give out sensitive data to LLMs. So you will either need to provide on premise (unlikely for SMEs) or create a possibility for anonymisation of the data before sending to the LLM then transforming back when the LLM answered. This will be important, be prepared for it.

Don't care if people say the market is saturated, it's not. 99% of companies still don't use AI so the market is huge. Also, focus on small forkflow enhancemen so you can offer pilo for free to gain experience.


---

# 總體討論重點

以下是17篇文章的條列式重點總結，並附上對應的文章錨點連結：

---

### 1. [Whats One AI Agent Use Case No Ones Talking About (But Should Be)?](#whats-one-ai-agent-use-case-no-ones-talking-)  
**重點**：  
- **批判現狀**：AI工具過度聚焦淺層需求（如行程安排）。  
- **未被滿足的痛點**：客戶反饋追蹤、非結構化文件處理等「不性感」但高價值問題。  
- **行動呼籲**：開發者應挖掘利基應用場景。  

---

### 2. [Are there any AI agen``` Marketplace that are popular or worthy to note ?](#are-there-any-ai-agen```-marketplace-that-ar)  
**重點**：  
- **交易平台**：探討AI代理買賣市場的存在性。  
- **可發現性**：如何讓雇主找到並雇用AI代理。  
- **市場動態**：社群成員開發或銷售的代理類型。  

---

### 3. [Our Full-Stack Movie Creation Agent is in Public Beta](#our-full-stack-movie-creation-agent-is-in-pu)  
**重點**：  
- **產品發布**：文字生成影片工具進入公開測試。  
- **功能**：整合語音、唇形同步、背景音樂。  
- **技術**：模組化設計，支援多種現有模型。  

---

### 4. [Understanding Customer Requiremen``` for Agent Services: A Thought Experiment Questionnaire](#understanding-customer-requiremen```-for-age)  
**重點**：  
- **問卷設計**：探索企業對自主代理的需求（動機、預期影響、功能取捨）。  
- **應用場景**：分短中長期列出關鍵用例。  
- **非功能性需求**：可靠性、安全性、成本等優先級。  

---

### 5. [Creating an AI Agent for Social Media Marketing](#creating-an-ai-agent-for-social-media-market)  
**重點**：  
- **痛點**：傳統社交媒體管理成本高（$800+/月）。  
- **解決方案**：AI自動化內容生成、排程、互動（成本降至$120/月）。  
- **目標**：驗證商業可行性。  

---

### 6. [What cool problems (healthcare) have you solved (or want to solve) using AI agen```?](#what-cool-problems-healthcare-have-you-solve)  
**重點**：  
- **醫療應用**：AI代理解決繁瑣任務或複雜醫療問題。  
- **討論焦點**：現有案例分享與未來創新構想。  
- **跨界交流**：激發「AI+醫療」的潛在合作。  

---

### 7. [Need Help Designing a Multi-Agent System for Invoice Validation. Best Framework for Multi-Agent Collaboration to Validate Invoices?](#need-help-designing-a-multi-agent-system-for)  
**重點**：  
- **系統設計**：多智能體協作驗證發票（缺失數據檢查、規則補全、總額計算）。  
- **關鍵架構**：分工協作、整合外部工具、自動化歸檔。  

---

### 8. [Systematically prompting AIs to become more specific about current challenges to advancing AI](#systematically-prompting-ais-to-become-more-)  
**重點**：  
- **方法論**：迭代提問挖掘AI發展的具體挑戰（如符號推理與神經網絡整合）。  
- **案例**：缺乏統一數學框架是關鍵障礙。  
- **優化建議**：自動化提問流程以提升效率。  

---

### 9. [How are people handling scrolling issues with computer use models?](#how-are-people-handling-scrolling-issues-wit)  
**重點**：  
- **問題描述**：AI模型滾動頁面時精準度不足（過度調整）。  
- **解決方案**：尋求社群反饋與改善方法。  

---

### 10. [AI mind reading](#ai-mind-reading)  
**重點**：  
- **隱私焦慮**：AI可能讀取未公開想法（如夢境、未搜尋的產品）。  
- **心理影響**：演算法精準推送強化「被監視」感。  
- **求助需求**：尋求緩解科技失控的無力感。  

---

### 11. [Question: central AI agent to talking to AIs of other platforms?](#question-central-ai-agent-to-talking-to-ais)  
**重點**：  
- **互動模式**：比較「代理對代理」與「代理對介面」的