AI Workflow01
Why FileMaker Developers Need Their Own AI Workflow
Generic AI advice breaks down quickly. FileMaker work needs context, constraints, and reusable patterns.
Field notes
Articles, observations, patterns, and working theories for developers building serious FileMaker systems in the AI era.
Generic AI advice breaks down quickly. FileMaker work needs context, constraints, and reusable patterns.
Automation can become fragile fast. The lab approach starts with repeatability, observability, and clear boundaries.
DDR exports can become searchable maps, review surfaces, and risk detectors when treated as structured data.
Sometimes the cleanest FileMaker workflow comes from a focused native tool, not another layer of glue.