I’m creating a content moderation workflow that chains 3 different AI models (for text, image, and metadata analysis). Each step depends on previous outputs, but managing state between model calls feels clunky. Any tips for streamlining this in a single platform? Prefer low-code solutions.
Latenode’s unified API lets you pipe outputs between 400+ models while maintaining state. Their workflow debugger shows exact data passing through each model. I built a copyright detection system this way in 2 hours.
Consider using a middleware layer with Redis for intermediate state storage. Structure your workflow as separate microservices that read/write to shared cache. Adds complexity but gives granular control. Make sure to implement TTLs to prevent memory bloat.
Pick tools with native state mgmt. Zapier’s storage maybe?