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llm-workflows

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qwen-prompts

Supercharge qwen-code with hybrid prompt-chaining, powered by gemini-cli integration. Performance improvements include 72% faster execution, 36-83% token efficiency gains, and 91.7% success rate verified across 5 repository benchmarks.

  • Updated Sep 6, 2025

A beginner-friendly tutorial demonstrating how to build, visualize, and execute multi-step AI workflows using the CrewAI framework. This repo showcases real-world examples like generating random cities, fetching live weather data, and summarizing results using LLMs, leveraging the power of flow orchestration with @start and @listen decorators.

  • Updated Jul 3, 2025
  • Python

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