Back to Prompt Library
implementation
Orchestrate Hybrid Reasoning and Reporting
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Intuit's Fin-Analyst: OpenAI o3 with DSPy & Model Context Protocol for Advanced Financial Insights
Format
Text-first
Lines
1
Sections
1
Linked challenge
Intuit's Fin-Analyst: OpenAI o3 with DSPy & Model Context Protocol for Advanced Financial Insights
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Orchestrate your DSPy Modules to perform a hybrid reasoning approach: utilize OpenAI o3 for quick data synthesis (instant reasoning) and then apply multi-step DSPy assertions (deep reasoning) for complex financial computations and generating the detailed narrative analysis. The final output should be a structured JSON report, then converted to a human-readable text format suitable for a client.
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.