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
- When chat message received
- AI Agent
- Embeddings OpenAI2
- Default Data Loader1
- When clicking ‘Test workflow’
- Extract
- If
- Get Results
- 30 Secs
- 10 Seconds
- SerpAPI
- Pinecone Vector Store
- Train Pinecone Vector Store
- OpenRouter Chat Model
23 steps in total.
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