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This paper introduces P&ID Pilot, an end-to-end AI pipeline combining genetic algorithms and LLMs to generate optimal process flow diagrams (PFDs) and transform them into validated piping and instrumentation diagrams (P&IDs), reducing manual engineering effort.
A practitioner recounts how deploying AI agents in production required 80% engineering effort on workflow, ownership, and approval processes rather than the model itself, highlighting that the 'boring layer' of shared context and routing is critical for real-world impact.