update

Author: sebastiancrossa

autotune/introduction.mdx

@@ -3,15 +3,7 @@ title: "Introduction"
 description: "Run evaluations on models and prompts to find the best variants for your agents"
 ---
 
-Autotune is a different approach to the traditional evals experience. Instead of setting up complex eval pipelines, we simply ingest your production traces and let you 
-replay them with different models and generate optimized prompts based on your feedback.
-
-Some of the key features include:
-
-- **Content-based versioning**: Each unique prompt content gets its own version via SHA-256 hashing
-- **Variable templating**: Use `{{variable}}` syntax for dynamic content
-- **Automatic tracking**: All interactions are traced for analysis
-- **One-click model deployments**: Models update instantly without code changes
+Prompt optimization is a different approach to the traditional evals experience. Instead of setting up complex eval pipelines, we simply ingest your production traces and let you optimize your prompts based on your feedback.
 
 ## How it works