@@ -26,9 +26,9 @@ Works with VS Code family of editors (Cursor, Antigravity, VSCodium, etc.).
 
 Coding agents address this limitation via tool calling—although keyword search may work, it requires instructions complex enough to fully understand your intent. The context is compiled in output tokens by slowly printing out all relevant files. With a lot of rambling along the way, it's an expensive and time consuming process.
 
-Code Web Chat proposes an alternative approach where the model is guided with files included directly in the prompt, allowing simpler instructions and unlocking accuracy that can't get any better!
+**Code Web Chat proposes an alternative approach** where the model is guided with files included directly in the prompt, allowing simpler instructions and unlocking accuracy that can't get any better!
 
-With clever sorting of files by its update recency, CWC helps utilize **[prompt caching](https://platform.openai.com/docs/guides/prompt-caching) across tasks**—consistently save up to 90% on input tokens, while reserving the more expensive output tokens for task-focused reasoning and code changes you're looking for.
+With clever sorting of files by its update recency, CWC helps utilize **[prompt caching](https://platform.openai.com/docs/guides/prompt-caching) across tasks**—consistently **save up to 90% on input tokens**, while reserving the more expensive output tokens for task-focused reasoning and code changes you're looking for.
 
 **Example message:**