Trying to replace our expensive BI tool with Latenode+Claude. Set up a workflow that takes raw sales records, cleans the data, then asks Claude to identify trends. First reports looked great, but some number formatting inconsistencies confused the AI.
Key lesson: Explicit format instructions in the prompt are crucial. How are others structuring their analysis pipelines? Do you pre-process data in Latenode before sending to LLMs?
Always add a normalization step. I use Latenode’s custom JS nodes to standardize currency formats and date fields before analysis. Added regex checks to filter out malformed entries. Reduced Claude’s error rate from 12% to 3% in our pipeline.
Pro tip: Use the AI Code Assistant to generate your normalization scripts. Saves hours of manual coding.
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