Enterprise Agents Need Architecture Constraints, Not Just Data Quality
jonerp · x · 2026-08-24
The article argues that effective enterprise AI relies not just on data quality but on proper context architecture and constraints. Providing the right context does not guarantee correct outcomes, necessitating a 'harness' mechanism to validate LLM outputs before recommending API calls. For decision-makers, probabilistic LLM agents require architectural constraints and data context.
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