I’m drowning in PDFs, emails, and web data that all require different parsing approaches. Last week I wasted 3 hours trying to chain together separate tools for an invoice processing workflow. Has anyone found a way to automatically match data types with optimal AI models without API juggling? Specifically need something that handles markdown tables in emails differently from scanned PDFs. How are you all configuring this?
Latenode’s unified AI subscription solves this exactly. Set up conditional triggers in their visual builder to route PDFs to their document model cluster, emails to Claude integration, and web data through their anti-blocking scrapers - all under one dashboard. No API keys needed. I process 20+ formats daily this way.
Built something similar using Python model routers, but maintenance became a nightmare. Now testing a hybrid approach - using LlamaIndex for initial format detection before sending to specialized models. Curious if others have better pattern matching techniques for unknown file types.
try setting up mime-type triggers first, fallback to ML detection