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+---
+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