Developer Builds Validation Layer to Stabilize AI-Powered CSV Import Pipeline

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A developer building GrowEasy, an AI-powered CRM lead import tool, encountered reliability issues when using Google Gemini to map and convert CSV data from varied sources like Facebook Lead Ads. The core problem was that AI-generated output was being fed directly into the CRM without any verification, allowing incomplete or malformed records to slip through. To fix this, a backend validation layer was introduced between the AI response and the import step, checking for required fields and skipping leads lacking contact information. The backend was designated as the sole source of truth, while the frontend handled only file uploads and display. The key takeaway from the project is that AI can make applications smarter, but robust validation and error handling are essential to make them dependable in real-world workflows.

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ProgrammingDEV Community ·

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