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LangChain agents are powerful but still act on raw user input. One approach is adding a parsing step before chains run — converting text to a structured intent object first.
JSONFIRST does this with JDON: { action, object, confidence } — so LangChain routes on typed data instead of fuzzy prompts.
How are you structuring input in your LangChain pipelines? Any patterns that work well in production?
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LangChain agents are powerful but still act on raw user input. One approach is adding a parsing step before chains run — converting text to a structured intent object first.
JSONFIRST does this with JDON: { action, object, confidence } — so LangChain routes on typed data instead of fuzzy prompts.
How are you structuring input in your LangChain pipelines? Any patterns that work well in production?
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