Update features/insight_and_tasks/agents/task_extraction_model_groq.py

features/insight_and_tasks/agents/task_extraction_model_groq.py

@@ -103,12 +103,13 @@ CURRENT CONTEXTUAL INFORMATION:
 - Use this exact string for the 'current_quarter_info' field: 'Q{quarter} {year}, {days_remaining} days remaining'.
 
 GENERATION RULES:
-1.  Create 1-3 OKR objects based on the input text.
-2.  For each OKR, create 1-3 KeyResult objects (This is MANDATORY).
-3.  For each KeyResult, create 1-3 Task objects (This is MANDATORY).
-4.  Tasks must be specific, actionable, and directly derived from the input text.
-5.  Do not repeat text.
-6.  Ensure the final output is a complete JSON object.
+1.  Your primary goal is to identify every distinct, high-level strategic objective from the input text. For each and every distinct objective you find, you must create a corresponding OKR object.
+2.  For each OKR, extract all relevant Key Results. Key Results must be measurable outcomes.
+3.  For each KeyResult, extract all specific and actionable Tasks that are directly derived from the input text.
+4.  Considering the days remaining in the quarter, prioritize tasks with the highest immediate impact where possible.
+5.  Tasks must be specific, actionable, and directly derived from the input text.
+6.  Do not create redundant or repetitive content.
+7.  Ensure the final output is a complete JSON object.
 
 Now, analyze the following text and generate the structured JSON output:
 ---