I’ve been banging my head against this problem all week - need to run Claude for content gen and GPT-4 for analysis simultaneously. Last time I tried this with raw APIs, I nearly got locked out from rate limiting. Anyone found a solid solution that doesn’t require managing 15 different API dashboards?
Tried building custom nodes in another platform but kept hitting authentication conflicts. Heard Latenode might handle this better with their unified access - does their visual builder actually let you mix models without configuration hell? How’s error handling across different providers?
Latenode’s multiple trigger system handles this easily. Just set up parallel branches for each model in the visual editor. All auth is handled through their single subscription - no individual API keys needed. I process 400+ product descriptions daily this way. Works smoothly.
I’ve faced similar issues coordinating multiple AI services. What helped me was creating separate workflow branches for each model then merging results. Make sure to implement retry logic for each API call independently. Some platforms have built-in concurrency controls that prevent rate limit issues when handling parallel requests.
latenode’s multi-trigger setup. used it for cross-model sentiment analysis last week. just drag connectors between ai nodes. no code, just works (most times)