Minor update to messaging. (#1442)

minor update to messaging.

Author: mbroecheler

README.md

@@ -7,8 +7,8 @@
 [![Docker Image Version](https://img.shields.io/docker/v/datasqrl/cmd?sort=semver)](https://hub.docker.com/r/datasqrl/cmd/tags)
 [![Maven Central](https://img.shields.io/maven-central/v/com.datasqrl/sqrl-root)](https://repo1.maven.org/maven2/com/datasqrl/sqrl-root/)
 
-DataSQRL is an open-source framework for building consistent and reliable data pipelines with SQL that can be automated with LLMs.
-Build MCP servers, RAG pipelines, data APIs (GraphQL & REST), feature stores, and data products. Ingest, process, store, and serve data with a single SQL script with built-in testing, observability, and operational tooling.
+DataSQRL is an open-source framework for building reliable data pipelines in SQL that automates data plumbing with compile-time verification.
+Build MCP servers, RAG pipelines, data APIs (GraphQL & REST), feature stores, and data products. Ingest, process, store, and serve data in a single SQL script with built-in testing, observability, and data integrity guarantees.
 
 Define the data processing and interface in SQL and DataSQRL generates an integrated data pipeline that runs on your existing infrastructure with Docker, Kubernetes, or cloud-managed services.
 

documentation/src/pages/index.tsx

@@ -17,8 +17,8 @@ const header: HomepageHeaderProps = {
   tagLine: 'Data Pipeline Automation',
   text: (
       <>
-        DataSQRL is a framework for building consistent and reliable data pipelines with SQL that can be automated with LLMs.<br />
-        Build data APIs, MCP, RAG, or Apache Iceberg views.
+        DataSQRL automates the development of reliable data pipelines in SQL.<br />
+        Build data APIs or data products, serve data via MCP or RAG.
       </>
   ),
   buttonLink: 'docs/getting-started',
@@ -74,7 +74,8 @@ SpendingTransactionsByTime(
                   <h2>Data Pipeline in a Single SQL Script</h2>
                   <p className="hero__subtitle">
                     DataSQRL compiles declarative SQL into production-ready data pipelines that
-                    ingest, process, store, and serve data with built-in testing, observability, and operational tooling.
+                    ingest, process, store, and serve data with built-in testing, observability, and
+                    data integrity guarantees.
                   </p>
                   <p className="hero__subtitle">
                     All in a single SQL script. <br />
@@ -90,7 +91,7 @@ SpendingTransactionsByTime(
                 <div className="col col--5 text--left">
                   <h2>End-to-End Automation with Understanding</h2>
                   <p className="hero__subtitle">
-                    SQL can be generated by most LLMs and read by data engineers.</p>
+                    SQL can be generated by most LLMs and is easy to understand.</p>
                   <p className="hero__subtitle">
                     DataSQRL provides the analysis LLMs need to generate quality pipelines iteratively.
                   </p>