AI Table for structured data, records, and workflows

Design the record before generating values

Choose fields for the source, the observed value, the review status, and the owner. Keep the original attachment or document reference beside AI-produced content. Separate a proposed answer from a verified fact instead of overwriting your only copy of the evidence.

Use AI fields for a bounded task

AI fields can assist with summaries, structured values, classification, OCR, and image work depending on configuration and service capabilities. Configure the input and output type, test representative rows, and compare the results with the source before running a larger set.

Review records through focused views

Filter, sort, and group records to expose missing inputs, pending review, or completed work. A table is useful for a research evidence ledger, content queue, task tracker, or receipt collection because each record keeps its state and supporting material together.

Connect tables to designs and delivery files

Kition 0.1.49 can start an editable design from a table record and attach an exported image back to the source record. CSV is useful for data interchange, but does not preserve every field behavior, attachment, view, or formula from the original table. Keep the .kitable source for continued work.

Start with one real task

1. Create a table or open a bundled table template.
2. Define typed fields and add a small representative sample.
3. Configure an AI field and inspect its output against the source.
4. Use a review view to check records before exporting or continuing a workflow.

Practical guides

• Create a table
• AI field setup
• Table templates
• Receipt OCR
• Design from a record