Hi everyone,
I built a small project called qwen-forge while experimenting with AI workflows and automation.
It’s a lightweight tool that helps structure and test different LLM-based pipelines and integrations.
GitHub: https://github.com/alay-arch/qwen-forge
Why I built it
I was testing different AI setups and got tired of rewriting small pieces of integration logic every time I changed models or workflow structure.
So I built a simple tool to make experimentation faster and more consistent.
What it does (in short)
- helps structure AI / LLM-based workflows
- simplifies switching between different setups
- useful for experimenting with automation pipelines
- keeps things lightweight and flexible
Status
It’s still early stage and more of an experimental project.
I’m mainly looking for feedback on:
- whether this approach is useful in real-world workflows
- what people usually use instead
- what would make this actually practical for others
Any feedback is appreciated 🙌
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