59 lines
1.7 KiB
Markdown
59 lines
1.7 KiB
Markdown
---
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title: AI Agents
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created_date: 2025-07-21
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updated_date: 2025-07-21
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aliases:
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tags:
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---
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# AI Agents
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## [He created an AI to do his job (his boss is hallucinating) - YouTube](https://youtu.be/MOlO1_mj1dU)
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### Agents
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![[Pasted image 20250721140924.png]]
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![[Pasted image 20250721140942.png]]
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- anything-llm
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- crew-ai
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- fine tuning vs RAG (RAG is metter?)
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- langchain
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#### Agent Roles
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Google Ads Optimizer
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- research assistant --> search the good keywords
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- content strategist --> B2B or B2C
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- manager: prompted.
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![[Pasted image 20250721142129.png]]
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- 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.
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##### React Example
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- input figma (wireframe prototype): really nice application overview with all screens etc
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- asked vision model to describe the different screens in detail (Pixtral 12B)
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- Get Prompts (1-20) --> one super prompt file with all prompts inthere
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- send to agents which execute stuff on cursor
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- you need the agents because of the context length limit
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Roles
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- 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
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##### Cursor
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- Combine with crewAI
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### Bikee Example
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- Reverse Engineering crew --> creates a document which describes
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- brute force routes
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- Developer crew
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### Learnings
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- use AI to make prompts
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- combine
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## [How to INSTANTLY Build An AI Agent Army in n8n with Claude - YouTube](https://www.youtube.com/watch?v=u2NluvotA80&t=725s&ab_channel=MarkKashef)
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- Use Claude Agent with inputs to create n8n workflows
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--> build agent army for this business.
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Use MCPs to create n8n nodes. |