--- title: RefAIne: Transform Casual Prompts into Expert-Level AI... description: RefAIne is a lightweight FastAPI microservice that transforms simple prompts into detailed, production-ready AI instructions. The tool supports multiple LLM... canonical: https://daily.dev/posts/refaine-transform-casual-prompts-into-expert-level-ai-instructions-wxe8vigqi twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: RefAIne: Transform Casual Prompts into Expert-Level AI Instructions | daily.dev og:description: RefAIne is a lightweight FastAPI microservice that transforms simple prompts into detailed, production-ready AI instructions. The tool supports multiple LLM... og:url: https://daily.dev/posts/refaine-transform-casual-prompts-into-expert-level-ai-instructions-wxe8vigqi og:image: https://api.daily.dev/og/posts/wXE8VIGQi.png og:image:alt: RefAIne: Transform Casual Prompts into Expert-Level AI Instructions og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # RefAIne: Transform Casual Prompts into Expert-Level AI Instructions **[Deleted user](https://daily.dev/sources/404)** · [@ghost](https://daily.dev/ghost) · 3 min read · 0 upvotes · 0 comments ## Summary RefAIne is a lightweight FastAPI microservice that transforms simple prompts into detailed, production-ready AI instructions. The tool supports multiple LLM providers (Claude, OpenAI, Ollama, Groq) and can be tested locally for free using Ollama. It automatically enriches basic prompts with technical context, best practices, error handling requirements, and edge case considerations, reducing the iteration cycles typically needed to get quality AI-generated code. The project is open-source, includes Docker configuration, and offers a single-endpoint design with minimal dependencies. ## Content A free, open-source FastAPI microservice that converts simple prompts into detailed, production-ready AI instructions. Supports multiple LLM providers including Claude, OpenAI, Ollama, and Groq. ## The Problem Getting AI assistants to understand exactly what you need often requires multiple iterations. When you ask to "create a REST API," you might get a basic example when you actually need authentication, error handling, validation, and production-ready code. This gap between brief prompts and detailed requirements costs developers significant time in refinement cycles. ## The Solution RefAIne is a FastAPI microservice (approximately 145 lines) that transforms casual prompts into comprehensive engineering instructions. **Example Input:** `"make a function to sort a list"` **Example Output:** > Create a Python function that sorts a list with the following requirements: > 1. Function signature: Accept a list of comparable elements as input > 2. Return a new sorted list (do not modify the original) > 3. Use Python's built-in sorting (efficient O(n log n) Timsort) > 4. Add type hints and docstrings with examples > 5. Include error handling for None or non-list inputs > 6. Handle edge cases: empty list, single element, already sorted > 7. Make it generic to work with any comparable types > > Provide clean, PEP 8 compliant code with tests. RefAIne automatically adds technical context, specificity, best practices, and edge case considerations. ## Key Features ### Free Testing Options Test locally with Ollama at no cost before using paid APIs. No credit card or API key required for initial testing. ### Multiple Provider Support Switch between LLM providers using a single environment variable: - Ollama (free, local, private) - Groq (free tier available) - Anthropic Claude (paid) - OpenAI (paid) - Any OpenAI-compatible API ### Production Ready Includes Docker configuration, comprehensive documentation, and environment-based configuration. ### Focused Design Single-purpose service with one endpoint and minimal dependencies. ## Supporting Development RefAIne is free to use and will remain so. However, maintaining open-source software requires ongoing investment: - Server costs for testing and demonstrations - API credits for development across multiple providers - Time for bug fixes, features, and support - Documentation and example creation If RefAIne has been useful in your work, consider supporting the project: - Star the repository: [github.com/AlbertoBarrago/RefAIne](https://github.com/AlbertoBarrago/RefAIne) - Contribute financially via GitHub Sponsors or donation platforms - Share the project with other developers - Report issues or contribute code improvements Financial support helps maintain active development, add new provider integrations, improve refinement quality, and respond to community needs. ## Quick Start ```bash # Clone repository git clone https://github.com/AlbertoBarrago/RefAIne.git cd RefAIne # Install and configure Ollama (for free local testing) curl -fsSL https://ollama.com/install.sh | sh ollama pull llama3.1 # Set up environment cat > .env << EOF LLM_PROVIDER=openai OPENAI_BASE_URL=http://localhost:11434/v1 OPENAI_API_KEY=ollama OPENAI_MODEL=llama3.1 EOF # Install and run uv pip install -r pyproject.toml uvicorn main:app --reload # Test the endpoint curl -X POST http://localhost:8000/refine \ -H "Content-Type: application/json" \ -d '{"prompt": "create a REST API"}' ``` Interactive API documentation is available at `http://localhost:8000/docs`. ## Resources - GitHub Repository: [github.com/AlbertoBarrago/RefAIne](https://github.com/AlbertoBarrago/RefAIne) - Issue Tracker: Report bugs or request features - Documentation: Included in repository README Contributions and feedback are welcome. ## Similar posts on daily.dev - [Testing AI prompts and comparing models with promptfoo](https://daily.dev/posts/testing-ai-prompts-and-comparing-models-with-promptfoo-mxhomphpc) · Tim Deschryver · 1 upvotes · 1 comments --- Tags: [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#fastapi](https://daily.dev/tags/fastapi) [View this post on daily.dev](https://daily.dev/posts/refaine-transform-casual-prompts-into-expert-level-ai-instructions-wxe8vigqi) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"DiscussionForumPosting","mainEntityOfPage":"https://daily.dev/posts/refaine-transform-casual-prompts-into-expert-level-ai-instructions-wxe8vigqi","headline":"RefAIne: Transform Casual Prompts into Expert-Level AI Instructions","text":"RefAIne is a lightweight FastAPI microservice that transforms simple prompts into detailed, production-ready AI instructions. 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