Docs proposal for overview page edit

pages/docs/index.mdx

@@ -1,20 +1,57 @@
 ---
 title: Langfuse Documentation
-description: Langfuse is an open source LLM engineering platform. It includes observability, analytics, and experimentation features.
+description: Langfuse is an open source LLM engineering platform for tracing, prompts, evaluations, and analytics.
 ---
 
-# Langfuse Overview
+# Get started with Langfuse
 
-Langfuse is an **open-source LLM engineering platform** ([GitHub](https://github.com/langfuse/langfuse)) that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively integrated to accelerate the development workflow. Langfuse is open, self-hostable, and extensible ([_why langfuse?_](/why)).
+Langfuse is the leading **open-source LLM engineering platform** ([GitHub](https://github.com/langfuse/langfuse)) that helps teams trace, manage prompts, evaluate quality, and improve their LLM applications. Langfuse is open, self-hostable, and extensible ([_why Langfuse?_](/why)).
+
+To get started, [sign up](https://cloud.langfuse.com) for a Langfuse account.
+## Quickstarts [#quickstarts]
+
+<Cards num={1}>
+  <Card
+    icon={<TextQuote size="24" />}
+    title="Log Your First Trace"
+    href="/docs/observability/get-started"
+    arrow
+  />
+  <Card
+    icon={<GitPullRequestArrow size="24" />}
+    title="Manage Your First Prompt"
+    href="/docs/prompt-management/get-started"
+    arrow
+  />
+  <Card
+    icon={<ThumbsUp size="24" />}
+    title="Run Your First Eval"
+    href="/docs/evaluation/overview"
+    arrow
+  />
+</Cards>
+
+If you prefer end-to-end examples, go to [Guides](/guides). It collects walkthroughs, tutorials, videos, and cookbook examples for tracing, prompt management, and evaluation.
+
+## Langfuse Overview
+
+Langfuse combines three core workflows:
+
+- **Observability:** Trace your application to understand behavior in production.
+- **Prompt Management:** Version and ship prompts as production assets.
+- **Evaluation:** Measure quality with scores, datasets, and experiments.
+
+Most teams start with tracing or prompt management, then add evaluation as they expand their setup.
 
 import { FeatureOverview } from "@/components/FeatureOverview";
 import {
   TextQuote,
   GitPullRequestArrow,
   ThumbsUp,
-  FlaskConical,
 } from "lucide-react";
 
+
+
 <FeatureOverview />
 
 ## Observability [#observability]
@@ -82,7 +119,11 @@ import EvaluationOverview from "@/components-mdx/evaluation-overview-gifs.mdx";
 
 ## Where to start?
 
-Setting up the full process of online tracing, prompt management, production evaluations to identify issues, and offline evaluations on datasets requires some time. This guide is meant to help you figure out what is most important for your use case.
+Start with the workflow that matches your immediate goal, then expand over time:
+
+- Add tracing if you need visibility into application behavior.
+- Add prompt management if prompts need versioning and release controls.
+- Add evaluations when you want to measure quality systematically.
 
 _Simplified lifecycle from PoC to production:_
 
@@ -103,31 +144,6 @@ _Simplified lifecycle from PoC to production:_
   lifecycle](/images/docs/features-dark.png)
 </Frame>
 
-## Quickstarts
-
-Get up and running with Langfuse in minutes. Choose the path that best fits your current needs:
-
-<Cards num={1}>
-  <Card
-    icon={<TextQuote size="24" />}
-    title="Integrate LLM Application/Agent Tracing"
-    href="/docs/observability/get-started"
-    arrow
-  />
-  <Card
-    icon={<GitPullRequestArrow size="24" />}
-    title="Integrate Prompt Management"
-    href="/docs/prompt-management/get-started"
-    arrow
-  />
-  <Card
-    icon={<ThumbsUp size="24" />}
-    title="Setup Evaluations"
-    href="/docs/evaluation/overview"
-    arrow
-  />
-</Cards>
-
 ## Why Langfuse?
 
 - **Open source:** Fully open source with public API for custom integrations