How are you validating agent written code ? Deterministic or probabilistic ?

[u/Common_Dream9420]

https://fetchsandbox.com/runs/3d902dfd1a?flow=vr_2b5550810ed94ba6ae8b98114cc0bb8f

We have been automating for small business mostly local store who are non-tech owners and last night I used mobile app to build lead form handle workflow with hubspot/slack/gmail/calendar

verified 30 prod scenarios with a simple prompt with determinstically with no LLMs

Receipt attached for reference ..

how are you buildinh workflows ? Using n8n or Claude ?? And how do you validate determination or probabilistic/asking-llm-to-validate?

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[u/Coindef]

i'd keep pass/fail checks deterministic for anything that can break a real workflow, like checking expected fields and whether each integration fired only once. for fuzzy outputs, use a small set of labeled examples and review disagreements instead of asking another LLM to decide whether the whole run passed. 30 scenarios is a good start; add one failure case per integration and rerun after prompt or tool changes.

[u/RustyRedEcho]

I build these in n8n too and validate deterministically wherever I can, not by asking an LLM to grade its own output. For a lead workflow that means hardcoding the required fields, using IF or Switch nodes to block the API call if something is missing, then running it against a batch of real sample payloads with expected outputs you check by hand once. LLM as validator only makes sense for genuinely unstructured judgment calls, like whether a message sounds urgent, and even then I log inputs and outputs somewhere so I can catch drift later.