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Library / AI Agents & Assistants

AI Agents & Assistants

Build AI Agents on Demand with Firecrawl, Pinecone and Claude

When a chat message arrives, an agent researches the request with SerpAPI and Firecrawl, stores knowledge in Pinecone, and builds a new AI agent.

What it does

🤖 AI Agent Builder (Sub-process #3) 1. Chat Trigger – waits for a user request (e.g. in GPT-style chat). 2. AI Agent (LangChain) – orchestrates: • OpenRouter GPT-4o (LLM) • SerpAPI (web-search tool) • Pinecone Vector Store (RAG) • Structured Output Parser to guarantee valid JSON. 3. OpenAI (validator) – double-checks the JSON and pretty-prints errors. 4. Code → Convert to File – extracts the final template and returns it as a downloadable file. Result: a fully wired n8n workflow template matching the user’s prompt.

The steps

  1. When chat message received
  2. AI Agent
  3. Embeddings OpenAI2
  4. Default Data Loader1
  5. When clicking ‘Test workflow’
  6. Extract
  7. If
  8. Get Results
  9. 30 Secs
  10. 10 Seconds
  11. SerpAPI
  12. Pinecone Vector Store
  13. Train Pinecone Vector Store
  14. OpenRouter Chat Model

23 steps in total.

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