Update README.md

README.md

@@ -70,20 +70,41 @@ short_description: A unified reference architecture for agentic AI systems
 
 <h2 align="center">How to Use AISA</h2>
 
-<p align="center">
-  Design agentic AI systems with <b>explicit separation of concerns</b><br/>
-  Analyze and evaluate <b>long-horizon behavior, safety, and reliability</b><br/>
-  Deploy and scale agentic systems with <b>governance and auditability built in</b>
+<p align="center" style="max-width:760px; margin:auto;">
+  Use AISA to design agentic AI systems with
+  <b>explicit separation of concerns</b>, enabling clear boundaries between
+  intelligence, cognition, tooling, evaluation, and governance.
+</p>
+
+<p align="center" style="max-width:760px; margin:auto;">
+  Apply AISA to analyze and evaluate
+  <b>long-horizon behavior, safety, and reliability</b>
+  across agent trajectories and system lifecycles.
+</p>
+
+<p align="center" style="max-width:760px; margin:auto;">
+  Adopt AISA to deploy and scale agentic systems with
+  <b>governance, auditability, and oversight built in</b>
+  from the outset.
 </p>
 
 <hr/>
 
-<h2 align="center">Who is this for?</h2>
+<h2 align="center">Who Is This For?</h2>
 
-<p align="center">
-  Researchers studying <b>LLM-based agents</b> and long-horizon reasoning<br/>
-  Engineers building <b>tool-augmented or autonomous AI systems</b><br/>
-  Practitioners designing <b>safe, auditable, and governed AI deployments</b>
+<p align="center" style="max-width:760px; margin:auto;">
+  Researchers investigating <b>LLM-based agents</b>,
+  reasoning, and long-horizon decision-making.
+</p>
+
+<p align="center" style="max-width:760px; margin:auto;">
+  Engineers building <b>tool-augmented or autonomous AI systems</b>
+  that must operate reliably in complex environments.
+</p>
+
+<p align="center" style="max-width:760px; margin:auto;">
+  Practitioners and organizations designing
+  <b>safe, auditable, and governed AI deployments</b>.
 </p>