How are you parsing the natural-language expense inputs into balanced double-entry transactions—are you using a rule-based grammar, a fine-tuned model, or an LLM-prompted parser, and how do you guarantee correctness (e.g., preventing unbalanced postings, ambiguous account inference, currency formatting drift, or daylight-saving-related timestamp inconsistencies) before writing to the ledger?
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How are you parsing the natural-language expense inputs into balanced double-entry transactions—are you using a rule-based grammar, a fine-tuned model, or an LLM-prompted parser, and how do you guarantee correctness (e.g., preventing unbalanced postings, ambiguous account inference, currency formatting drift, or daylight-saving-related timestamp inconsistencies) before writing to the ledger?