Tables
A table is a stack of records that all share the same shape.
Difficulty 1/5
Plain English
A table groups records of the same kind: all tasks look alike, all contacts look alike. Picking the right table is how you avoid one giant junk drawer. New feature? Ask: new table or new fields on an existing table?
Analogy
One drawer in the cabinet — only wedding tasks, only guest lists, etc.
Jessica's wedding portal
tasks and weddings are separate tables; tasks point at a wedding.
Go deeper
A collection of similar records.
Common mistakes
- One mega-table with nullable everything.
- Splitting tables so joins become painful.
AI-agent trap
Agents create `misc` or `data` tables. Reject — name the entity.
Summary
Tables enforce shape via schema. Queries often filter one table ('all open tasks for this wedding').
Confidence: