5 scenarios where Kition tables replace Airtable
Airtable is expensive, cloud-locked, and AI is an afterthought. Kition tables cover small-to-mid scale workloads.
Read more →Two-way linking documents and tables: your knowledge graph
Inside docs use `[[table:books/row-3]]` to cite a row; the table’s `notes` field links back to docs.
Read more →Field types deep dive: select / multi-select / lookup / formula
Don’t make everything `text`. The right field types make queries, views, and the agent much happier.
Read more →Tracking GitHub issues with tables + the agent
Wire the GitHub MCP, let the agent sync "assigned to me / P1 issues" into a Kition table daily.
Read more →CSV in and out: import from Excel / Notion in one click
CSV is the data world’s greatest common divisor. Kition treats it as first-class — clean import, clean export.
Read more →AI fields in practice: auto-fill columns from your data
An AI Field is a column whose value runs a prompt template — fills automatically as you edit other columns.
Read more →Views in practice: Grid / Kanban / Gallery / Calendar
One dataset, four lenses; views are saved and shareable — stop screenshotting Kanban for teammates.
Read more →Content calendar template: manage topics and publishing
One table covers topic pool, state machine, publishing calendar, cross-channel distribution — and the agent can help fill it.
Read more →Building a personal CRM with Kition tables
Five tables, a few views, and a weekly agent task — never forget who to follow up with.
Read more →Kition tables vs Notion databases: what differs
Same Grid / Kanban / Calendar views — but Kition tables are local `.kitable` files, and the agent can read/write them directly.
Read more →Ready when you are.
Kition is a local-first AI workspace. Markdown documents, structured tables, and an AI agent — running on your own machine, against the model provider you choose.