Back to Prompt Library
implementation
Journalistic Insight Generation with Claude Sonnet 4
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: AI Journalist for Government Meeting Analysis
Format
Text-first
Lines
1
Sections
1
Linked challenge
AI Journalist for Government Meeting Analysis
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Develop the 'GenerateInsights' node within the LangGraph. This node, powered by Claude Sonnet 4, should take summarized meeting content and relevant RAG results to identify potential journalistic angles, controversies, or follow-up questions. Emphasize the use of extended thinking for deep analysis and synthesis, leading to high-quality, actionable insights.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.