Field note · 4 min read
Generated data is evidence, not permission
Automation can accelerate discovery while still protecting intentional, handcrafted decisions.
The tempting shortcut
Large external datasets make automation attractive. The dangerous leap is treating a generated candidate as approved production content. Version differences, duplicate identities, spatial conflicts, and local customization can all make technically valid data operationally wrong.
Keep provenance attached
Every candidate should retain where it came from, which version it described, how its identity was resolved, and what review state it has reached. That history makes disagreements diagnosable instead of mysterious.
Protect intentional work
Automation needs explicit exclusions for areas or records shaped by hand. Conflicts should be isolated for review, not settled by whichever source happened to run last.
Leadership implication
Good automation increases throughput without erasing judgment. The design question is not only what can be automated, but where human approval carries important context.