# Welcome to Kiln AI Kiln AI is the easiest tool for: * 🎛️ [**Fine Tuning**](https://docs.kiln.tech/docs/fine-tuning/fine-tuning-guide): Zero-code fine-tuning for Llama, GPT-4o, and more. Automatic serverless deployment of models. * 📊 [**Evals & Specs**](https://docs.kiln.tech/docs/evals-and-specs/evaluations)**:** Evaluate the quality of your models/tasks using state of the art evaluators. * 📈 [**Optimizers**](https://docs.kiln.tech/docs/optimizers): Find the best model, prompt or fine-tune for your task. Improve quality and lower costs. * 🔍 [**Docs & Search (RAG)**](https://docs.kiln.tech/docs/documents-and-search-rag): Add knowledge to your AI systems with Retrieval-Augmented Generation (RAG) * 🤖 [**Agents**](https://docs.kiln.tech/docs/agents) Build agentic systems with multiple actors * 🛠 [**Tools & MCP**](https://docs.kiln.tech/docs/tools-and-mcp): Connect powerful tools to your Kiln tasks * 🧩 [**Skills**](https://docs.kiln.tech/docs/skills): Load more instructions, depending on the goal. * 🪄 [**Synthetic Data Generation**](https://docs.kiln.tech/docs/synthetic-data-generation): Generate training data with our interactive visual tooling. * 🧠 [**Reasoning Models**](https://docs.kiln.tech/docs/fine-tuning/guide-train-a-reasoning-model): Train or distill your own custom reasoning models. * 🤝 [**Team Collaboration**](https://docs.kiln.tech/docs/collaboration): Git-based version control for your AI datasets. Intuitive UI makes it easy to collaborate with QA, PM, and subject matter experts on structured data (examples, prompts, ratings, feedback, issues, etc.). ### Jump right in

			Cover image
Quickstart	Download our app, setup a task, and run AI models.	quickstart	App3.png
Automatic Prompt Optimizer	Find the best possible prompt for your task.	automatic-prompt-optimizer	Prompts3.png
Models and AI Providers	Manage which models you can use in Kiln.	models-and-ai-providers	providers3.png
Fine Tuning	Our guide for fine tuning AI models	fine-tuning-guide	tuning2.png
Evals & Specs	Evaluate the quality of your models/tasks	evals-and-specs	Eval.png
Tools & MCP	Connect tools to Kiln	tools-and-mcp	MCP.png
Search Tools / RAG	Add documents and create search indexes	documents-and-search-rag	rag icon 2-2.png
Agents	Built multi-action agentic systems	agents	Agents-2.png
Synthetic Data Generation	Generate training data for models with AI	synthetic-data-generation	synth.png
Skills	Dynamically load prompts for the current goal.	skills	skills.png
Python Library Setup	Install and use our python library.	python-library-quickstart	python3.png
Demo Project	End to end demo video showing how to use Kiln	end-to-end-project-demo	Video-2.png
Build a Reasoning Model	Create your own reasoning model, like o3 or R1	guide-train-a-reasoning-model	distill.png

--- # 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/readme.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.