---
title: AI Agents
created_date: 2025-07-21
updated_date: 2025-07-21
aliases:
tags:
---
# AI Agents

## [He created an AI to do his job (his boss is hallucinating) - YouTube](https://youtu.be/MOlO1_mj1dU)

### Agents
![[Pasted image 20250721140924.png]]
![[Pasted image 20250721140942.png]]


- anything-llm
- crew-ai
- fine tuning vs RAG (RAG is metter?)
- langchain

#### Agent Roles

Google Ads Optimizer
- research assistant --> search the good keywords
- content strategist --> B2B or B2C
- manager: prompted. 
	  ![[Pasted image 20250721142129.png]]
	- double checks output of the two agents before sending it to the google API. If there is a formatting error in the csv file or so it just asks the agents to restart. 

##### React Example
- input figma (wireframe prototype): really nice application overview with all screens etc
- asked vision model to describe the different screens in detail (Pixtral 12B) 
- Get Prompts (1-20) --> one super prompt file with all prompts inthere
- send to agents which execute stuff on cursor
	- you need the agents because of the context length limit

Roles
- prompt manager: prompt analysis --> split prompt into multiple chunks which match best with the agent team and send them the prompt with a global context description

##### Cursor
- Combine with crewAI 

### Bikee Example
- Reverse Engineering crew --> creates a document which describes 
	- brute force routes
- Developer crew

### Learnings
- use AI to make prompts
- combine