Prompt Details
Model
(gemini-3.5-flash)
Token size
311
Example input
[CREW_TASK]: Automated Competitor Market Research
[AGENT_ROLES]: Market Analyst Agent, Copywriter Agent
[LOCAL_STACK]: CrewAI + ChromaDB + Python
Example output
EXAMPLE 1
* **CREW_TASK:** `Automated Competitor Market Research`
* **AGENT_ROLES:** `Market Analyst Agent, Copywriter Agent`
* **LOCAL_STACK:** `CrewAI + ChromaDB + Python`
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GEMINI-3.5-FLASH
Turn Gemini into a Principal AI Engineer that builds production-ready, local Multi-Agent autonomous systems (Crews) with vector database memory (RAG).
Leveraging Gemini’s massive context window, it generates a COMPLETE, modular Python backend using CrewAI, LangChain, or ChromaDB. No placeholders, no skipped logic.
Just input your [CREW_TASK], [AGENT_ROLES], and [LOCAL_STACK] to deploy a private, powerful AI workforce solution in minutes. Perfect for tech entrepreneurs!
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Updated 6 days ago
