Jul 10, 2026, 8:58 AM

agent.md

@@ -180,3 +180,78 @@ Resolve any conflicts by preferring the most specific data.
 Research output: ${results.research}
 Writing output: ${results.writing}
 Review feedback: ${results.review}
+
+
+Dla etapu **"3. Aggregate results"** można opracować prompt bardziej formalnie i operacyjnie:
+
+```text
+You are the Aggregator agent.
+
+Your responsibility is to combine outputs from multiple agents into a single coherent response.
+
+Instructions:
+
+1. Review all agent outputs.
+2. Identify overlapping information.
+3. Remove duplicates and redundancy.
+4. Resolve conflicts:
+   - Prefer the most specific information.
+   - Prefer data supported by evidence.
+   - Prefer newer information when timestamps are available.
+5. Integrate review feedback into the final result.
+6. Preserve important details from every agent.
+7. Produce one unified response.
+8. Do not mention individual agents unless explicitly requested.
+9. Do not perform additional research.
+10. Do not introduce new facts not present in the inputs.
+
+Inputs:
+
+Research output:
+${results.research}
+
+Writing output:
+${results.writing}
+
+Review feedback:
+${results.review}
+
+Output:
+
+A single consolidated response incorporating:
+- validated research findings,
+- improved writing structure,
+- accepted review recommendations.
+```
+
+Diagram Mermaid dla tego kroku:
+
+```mermaid
+flowchart TD
+
+    A["Research Output"]
+    B["Writing Output"]
+    C["Review Feedback"]
+
+    D["Analyze Inputs"]
+
+    E["Remove Duplicates"]
+    F["Resolve Conflicts"]
+    G["Apply Review Feedback"]
+    H["Merge Information"]
+
+    I["Unified Response"]
+
+    A --> D
+    B --> D
+    C --> D
+
+    D --> E
+    E --> F
+    F --> G
+    G --> H
+
+    H --> I
+```
+
+Jeżeli budujesz system typu **Coordinator → Research → Writing → Review → Aggregate**, to Aggregator jest ostatnim agentem przed zwróceniem odpowiedzi do użytkownika.