Brandow Storage Docs
HomeDashboard

Documentation

Documentation home

Start here

Getting started

Core product

Product overviewData model and architectureIntegration sources and mapping

AI features

AI features

Administration

Team and security

Changelog

Changelog

Browse docs

HomeGetting startedProduct overviewData model and architectureIntegration sources and mappingAI featuresTeam and securityChangelog

Browse all guides

Search by topic, feature, category, or version.

Showing 7 of 7 guides

Start here

Getting started

Create your account, build your first Table, and add your first Rows in minutes.

v0.1.0
Updated Feb 14, 2026
Read guide

Core product

Product overview

Understand how Tables, Rows, and Sub-Tables fit together in Brandow Storage.

v0.1.0
Updated Feb 14, 2026
Read guide

Core product

Data model and architecture

Technical notes on how the product stores data, links nested records, and validates writes.

v0.1.0
Updated Feb 14, 2026
Read guide

Core product

Integration sources and mapping

How popular sources (Zapier, Make, Tally, Typeform, SendGrid, Stripe) send data and how to map them to your tables.

v0.1.0
Updated Feb 17, 2026
Read guide

AI features

AI features

How AI table creation, AI row creation, Smart AI Insert, and Ask AI about data work today.

v0.1.0
Updated Feb 14, 2026
Read guide

Administration

Team and security

Learn role-based access, invites, organization boundaries, and practical security defaults.

v0.1.0
Updated Feb 14, 2026
Read guide

Changelog

Changelog

Track major documentation and product-facing updates over time.

v0.2.0
Updated Feb 14, 2026
Read guide

Brandow Storage Documentation

Welcome to the official docs for Brandow Storage.

Brandow Storage is an AI-powered data platform where teams can build custom Tables and manage Rows without writing SQL. Think "Airtable flexibility", but with AI-assisted setup and data entry built in from the start.

What this documentation covers

  • Core product concepts (Tables, Rows, Sub-Tables, references)
  • Step-by-step setup and first-use workflows
  • AI features and best practices
  • Team permissions and invite behavior
  • Architecture notes for technical users
  • Founder-focused improvement suggestions for future releases

Current feature status snapshot

Available now

  • AI table creation from prompt
  • CSV import + AI-assisted structure inference
  • AI row creation (per-table form fill)
  • Smart AI Insert (detect table + map data automatically)
  • Ask AI about table data
  • Team invites and role-based access controls

Planned / in progress

  • Embed forms/widgets
  • More pre-built table templates
  • Expanded developer API coverage

Recommended reading order

  1. /docs/getting-started
  2. /docs/product-overview
  3. /docs/ai-features
  4. /docs/team-and-security
  5. /docs/data-model-and-architecture

Helpful navigation features

  • Use the docs home search box to find pages by feature, category, or version.
  • Each guide now includes badges for version and last updated so you can quickly judge freshness.

Why docs are Markdown-in-repo right now

At this stage, static Markdown docs are the most practical choice:

  • Versioned with code changes in Git
  • Fast to ship and update
  • No extra database tables or RLS maintenance
  • Easy to migrate to a CMS/database later when docs volume or editorial workflow grows

When your team needs non-developer editing workflows, doc analytics, or localization at scale, a database/CMS-backed system becomes more valuable.

  • /docs/changelog
  • /docs/future-improvements