Engineering
Architecting Cost-Effective AI Data Pipelines with Make.com for High-Volume Processing
For CTOs and senior architects, the challenge of integrating Large Language Models (LLMs) into production environments often centers on two friction points: operational latency and exploding token costs. While traditional ETL (Extract, Load, Transform) processes are well-understood, adding a non-deterministic AI inference step into a high-volume data stream requires a