diff --git a/docs/quickstart/introduction.mdx b/docs/quickstart/introduction.mdx
index e7e7b29973..68a3a6bb8b 100644
--- a/docs/quickstart/introduction.mdx
+++ b/docs/quickstart/introduction.mdx
@@ -5,15 +5,20 @@ description: 'The open source end-to-end LLMOps platform.'
 <img className="dark:hidden" height="600" src="/images/agenta_mockup_whitebg.png" />
 <img className="hidden dark:block" height="600" src="/images/agenta_mockup_blackbg.png" />
 
-Agenta is an open-source end-to-end platform for productionizing complex Large Language Model applications (LLM apps). With agenta, you can:
+Agenta is an open-source end-to-end platform that helps **developers** and **product teams** build and maintain robust AI applications powered with Large Language Models (LLMs). . 
 
-1. Quickly **experiment** and version prompts, parameters and complex strategies (in-context learning with embeddings, agents, custom business logic...) 
-2. **Collaborate with domain experts** for prompt engineering and evaluation
-3. Systematically **evaluate your LLM apps**
-4. **Deploy** your application in one-click
+With agenta, you can:
 
-Agenta does not impose any restrictions on your choice of framework, library, or model. It's compatible with **langchain**, **llama_index**, the **Openai SDK**, and more. You can use open-source models like **Llama2** or any other model you have access to, such as **Cohere**, **OpenAI**, **Google Bart**, and more.
+1. Quickly **experiment** and **compare** prompts, configurations and complex pipelines (chains, Retrieval Augmented Generation (RAG), agents...) 
+2. Quickly **create test sets** and **golden datasets** for evaluation
+3. **Evaluate** your applications with pre-existing or **custom Evaluators**
+4. **Annotate** and **A/B test** your applications with human feedback 
+5. **Collaborate with product teams** for prompt engineering and evaluation
+6. **Deploy** your application in one-click in the UI,  through CLI, or through github workflows. 
 
+Agenta focuses on increasing the speed of the development cycle of LLM applications by increasing the speed of iteration.
+
+Agenta integrates with all frameworks and model providers in the ecosystem, such as [Langchain](https://langchain.com), [LlamaIndex](https://www.llamaindex.ai/), [OpenAI](https://openai.com), [Cohere](https://cohere.ai), [Mistral](https://mistral.ai/), [Huggingface](https://huggingface.co/), and self-hosted open source LLMs such as the one served using [vLLM](https://github.com/vllm-project/vllm)
 ## Overview of agenta 
 
 <img className="dark:hidden" height="600" src="/images/agenta_highlevel_whitebg.png" />