Reassuring to see this approach coming out consistently. I’ve been doing the same for high volume data pipelines, extracting the deterministic actions from markdown instructions and leaving the LLM to do the analysis/act as the fluid coupling between deterministic parts.
Over time you can refine this to be more and more codified, handle edge cases with agents/LLMs then turn them into first class deterministic branches too.
This pattern seems to be emerging everywhere, the chain of thought and intent capture to improve it seems to be the next big thing
Over time you can refine this to be more and more codified, handle edge cases with agents/LLMs then turn them into first class deterministic branches too.
This pattern seems to be emerging everywhere, the chain of thought and intent capture to improve it seems to be the next big thing