diff --git a/rdagent/scenarios/qlib/experiment/model_experiment.py b/rdagent/scenarios/qlib/experiment/model_experiment.py
index 3da3c15e..3167c4f0 100644
--- a/rdagent/scenarios/qlib/experiment/model_experiment.py
+++ b/rdagent/scenarios/qlib/experiment/model_experiment.py
@@ -41,7 +41,41 @@ class QlibModelScenario(Scenario):
     
     @property
     def rich_style_description(self)->str:
-        return "Below is QlibModel Evolving Automatic R&D Demo."
+        return '''
+### Qlib Model Evolving Automatic R&D Demo
+
+#### Overview
+
+The demo showcases the iterative process of hypothesis generation, knowledge construction, and decision-making. It highlights how models evolve through continuous feedback and refinement.
+
+#### Key Steps
+
+1. **Hypothesis**
+   - Generate and propose initial hypotheses based on data and domain knowledge.
+
+2. **Knowledge Construction**
+   - Develop, test, and refine models to gather empirical results.
+   - Analyze feedback and incorporate new insights.
+
+3. **Decision Pair**
+   - Make data-driven decisions based on validated hypotheses and constructed knowledge.
+   - Iterate the process to evolve and improve models continuously.
+
+#### Automated R&D
+
+- **R (Research)**
+  - Iteration of ideas and hypotheses.
+  - Continuous learning and knowledge construction.
+
+- **D (Development)**
+  - Evolving code generation and model refinement.
+  - Automated implementation and testing of models.
+
+#### Objective
+
+To demonstrate the dynamic evolution of models through the Qlib platform, emphasizing how each iteration enhances the accuracy and reliability of the resulting models.
+
+        '''
 
     def get_scenario_all_desc(self) -> str:
         return f"""Background of the scenario: