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Automated AI workflows using n8n for ingestion, enrichment, and notifications.
Categories
MLNLP
Tech Used
n8nWebhooksAPIsPostgreSQLPythonLLM
Problem
Teams need repeatable automation for AI pipelines without constantly writing glue code.
Approach
- Designed triggers + pipeline steps (ingest → process → store → notify)
- Integrated APIs (LLMs, databases, webhooks)
- Added retries, logging, and error handling
Results
- Reduced manual ops work
- Faster iteration on AI workflows