Keep the knowledge close to the work
Field notes, configuration references, troubleshooting steps, and project history gain value when they are consistently named, tagged, and searchable. Retrieval quality depends more on disciplined source material than on a clever prompt.
Use models inside clear boundaries
Local models can summarize notes, draft runbooks, compare observations, and surface related records. Human review should remain explicit wherever a recommendation could change production infrastructure or expose sensitive information.
Measure operational usefulness
A successful workflow saves time, improves repeatability, or reduces missed context. Track whether the system helps reach verified answers faster; novelty alone is not an operations metric.