diff --git a/docs/docs/introduction.md b/docs/docs/introduction.md
index 28c1754a6f09..aecfd113ce72 100644
--- a/docs/docs/introduction.md
+++ b/docs/docs/introduction.md
@@ -2,25 +2,31 @@
 slug: /
 ---
 
-# Introduction
+# W&B Weave
 
-**Weave** is a lightweight toolkit for tracking and evaluating LLM applications, built by Weights & Biases.
+Weights & Biases (W&B) Weave is a framework for tracking, experimenting with, evaluating, deploying, and improving LLM-based applications. Designed for flexibility and scalability, Weave supports every stage of your LLM application development workflow:
 
-Our goal is to bring rigor, best-practices, and composability to the inherently experimental process of developing AI applications, without introducing cognitive overhead.
+- **Tracing & Monitoring**: [Track your application from input to output](./guides/tracking/) to debug and analyze production systems.
+- **Systematic Iteration**: Refine and iterate on [prompts](./guides/core-types/prompts.md), [datasets](./guides/core-types/datasets.md), and [models](./guides/core-types/models.md).
+- **Experimentation**: Experiment with different models and prompts in the [LLM Playground](./guides/tools/playground.md). 
+- **Evaluation**: Use [pre-built scorers](./guides/evaluation/scorers#predefined-scorers), [object comparison](./guides/tools/comparison.md), and LLM  tools to systematically assess and enhance application performance.
+- **Guardrails**: Protect your application with [pre- and post-safeguards](./guides/evaluation/guardrails_and_monitors.md) for content moderation, prompt safety, and more.
 
-**[Get started](/quickstart)** by decorating Python functions with `@weave.op()`.
+Integrate Weave with your existing development stack via the:
+- [Python SDK](./reference/python-sdk/weave/index.md)
+- [TypeScript SDK](./reference/typescript-sdk/weave/README.md)
+- [Service API](./reference/service-api/call-start-call-start-post)
 
-![Weave Hero](../static/img/weave-hero.png)
+Weave supports [numerous LLM providers, local models, frameworks, and third-party services](./guides/integrations/index.md).
 
-Seriously, try the 🍪 **[quickstart](/quickstart)** 🍪 or <a class="vertical-align-colab-button" target="\_blank" href="http://wandb.me/weave_colab" onClick={()=>{window.analytics?.track("Weave Docs: Quickstart colab clicked")}}><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
+## Get started
 
-You can use Weave to:
+Are you new to Weave? Set up and start using Weave with the [Python quickstart](/quickstart) or [TypeScript quickstart](./reference/generated_typescript_docs/intro-notebook.md).
 
-- Log and debug language model inputs, outputs, and traces
-- Build rigorous, apples-to-apples evaluations for language model use cases
-- Organize all the information generated across the LLM workflow, from experimentation to evaluations to production
+## Advanced guides
 
-## What's next?
+Learn more about advanced topics:
 
-- Try the **[Quickstart](/quickstart)** to see Weave in action.
-- Check out our **[AI Academy](https://www.wandb.courses/pages/w-b-courses)** to learn how build an advanced RAG system, improve your LLM prompting, fine-tune an LLM, and more.
+- [Integrations](./guides/integrations/index.md): Use Weave with popular LLM providers, local models, frameworks, and third-party services.
+- [Cookbooks](./reference/gen_notebooks/01-intro_notebook.md): Build with Weave using Python and TypeScript. Tutorials are available as interactive notebooks.
+- [W&B AI Academy](https://www.wandb.courses/pages/w-b-courses): Build advanced RAG systems, improve LLM prompting, fine-tune LLMs, and more.