# Docs - [Quickstart](https://docs.kiln.tech/docs/quickstart.md): Download our app for MacOS, Windows or Linux - [Models and AI Providers](https://docs.kiln.tech/docs/models-and-ai-providers.md): Connect to Ollama, OpenAI, OpenRouter, AWS, Azure, Vertex, Together, Fireworks, and more - [End to End Project Demo](https://docs.kiln.tech/docs/end-to-end-project-demo.md): Video walkthrough of creating tasks, evals, fine-tuning, synthetic data gen, and more! - [Optimizers](https://docs.kiln.tech/docs/optimizers.md): Tools to build the optimal AI system for your task - [Fine Tuning](https://docs.kiln.tech/docs/fine-tuning.md): Create custom fine-tuned models for your use case - [Fine Tuning Guide](https://docs.kiln.tech/docs/fine-tuning/fine-tuning-guide.md): Fine tuning 9 Models in 18 minutes - [Train a Reasoning Model](https://docs.kiln.tech/docs/fine-tuning/guide-train-a-reasoning-model.md): Built a reasoning model, like o3 or R1, for your use case - [Fine Tuning for Tool Use](https://docs.kiln.tech/docs/fine-tuning/fine-tuning-for-tool-use.md): Build fine-tuned models for calling a set of tools, like MCP - [Evals](https://docs.kiln.tech/docs/evals-and-specs.md): Powerful tools to measure and optimize your AI systems - [Eval Builder](https://docs.kiln.tech/docs/evals-and-specs/specifications.md): The Kiln Eval Builder combines evals, synthetic data generation, automatic judge prompt creation, and edge case detection into one easy to use feature - [Evaluations](https://docs.kiln.tech/docs/evals-and-specs/evaluations.md): Evaluate the quality of your models/tasks using state-of-the-art evals - [Evaluate RAG Accuracy: Q\&A Evals](https://docs.kiln.tech/docs/evals-and-specs/evaluate-rag-accuracy-q-and-a-evals.md): Know your Kiln Search tools find the right answer with RAG evals and synthetic Q\&A data - [Evaluate Appropriate Tool Use](https://docs.kiln.tech/docs/evals-and-specs/evaluate-appropriate-tool-use.md): Test your model's ability to appropriately invoke tools - [Tools & MCP](https://docs.kiln.tech/docs/tools-and-mcp.md): Connect powerful tools to your Kiln tasks - [Connect to Existing Agents](https://docs.kiln.tech/docs/tools-and-mcp/connect-to-existing-agents.md): You can connect Kiln Evals to existing agents on any platform, using MCP - [Prompts](https://docs.kiln.tech/docs/prompts.md): How to use our prompt optimizer, prompt generators, or create your own prompt - [Automatic Prompt Optimizer](https://docs.kiln.tech/docs/prompts/automatic-prompt-optimizer.md): Find the best prompt for your task, automatically. - [Prompt Generators](https://docs.kiln.tech/docs/prompts/prompt-generators.md): Prompt generators build prompts for you combing best practices and data from your dataset - [Documents & Search (RAG)](https://docs.kiln.tech/docs/documents-and-search-rag.md): Add knowledge to your AI systems with docs & search - [Agents](https://docs.kiln.tech/docs/agents.md): Building Agentic AI systems has never been easier - [Skills](https://docs.kiln.tech/docs/skills.md): Load more instructions, depending on the goal (Progressive Prompt Enhancement) - [Synthetic Data Generation](https://docs.kiln.tech/docs/synthetic-data-generation.md): Generate synthetic data for fine-tuning or evaluation - [Issues](https://docs.kiln.tech/docs/issues.md): Kiln Issues are an AI-native issue tracker for AI teams - [Reasoning & Chain of Thought](https://docs.kiln.tech/docs/reasoning-and-chain-of-thought.md): Improve your model's quality with inference time scaling - [Reviewing and Rating](https://docs.kiln.tech/docs/reviewing-and-rating.md): Ratings help multi-shot prompting, fine-tuning, evals, and more - [Collaboration](https://docs.kiln.tech/docs/collaboration.md): How to collaborate with your team using Kiln - [Automatic Git Sync](https://docs.kiln.tech/docs/collaboration/automatic-git-sync.md): Git, even if you've never used a terminal - [Organizing Datasets](https://docs.kiln.tech/docs/organizing-datasets.md): Tag, Filter, Sort, Import, Freeze and Split - [Structured Data / JSON](https://docs.kiln.tech/docs/structured-data-json.md) - [Keyboard Shortcuts](https://docs.kiln.tech/docs/keyboard-shortcuts.md) - [Privacy](https://docs.kiln.tech/docs/privacy.md): Kiln is private by design - [Repairing Responses](https://docs.kiln.tech/docs/repairing-responses.md): "Teach the model, you will" - ML Yoda - [Troubleshooting & Logs](https://docs.kiln.tech/docs/troubleshooting-and-logs.md): How to troubleshoot errors from the logs - [Productionizing Kiln](https://docs.kiln.tech/docs/productionizing-kiln.md): How to take ideas from the lab (Kiln) into your product - [Contact Us](https://docs.kiln.tech/docs/contact-us.md): We'd love to chat! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.kiln.tech/docs.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.