Tana
Build a connected knowledge system with AI — structured notes, supertags, and commands that think with you.
Tana Review: The AI Outliner Built for Knowledge Workers Who Think in Structures
Most note-taking apps treat notes as text documents. Tana treats notes as structured data — every node in the outliner can be typed, tagged, and queried, turning a collection of notes into a queryable knowledge database that can surface connections, generate summaries, and answer questions about the information it contains. Combined with AI commands that process any node or selection with a language model instruction, Tana creates a personal knowledge environment where the AI is embedded in the structure of the notes themselves rather than bolted on as a sidebar.
Quick Summary
Tana is an AI-powered outliner and knowledge management tool where every note node can be structured with supertags, queried like a database, and processed with inline AI commands — creating a connected personal knowledge system for power users and knowledge workers.
Is it worth using? Yes for knowledge workers, researchers, writers, and system builders who want a note-taking tool that treats information as structured, queryable data rather than plain text documents.
Who should use it? Researchers, writers, consultants, and power users who want their notes to be interconnected, structured, and AI-queryable — and who are willing to invest in learning a more powerful paradigm than standard note-taking.
Who should avoid it? Users who want a simple note-taking experience without the learning curve of a structural knowledge system, where Notion or Obsidian are more accessible.
Verdict Summary
Best for
- Knowledge workers who want their notes connected and queryable like a database — finding information by filtering and querying rather than browsing and searching
- Researchers and writers who want AI to help process, summarize, and synthesize information within the structure of their notes
- Power users who have felt constrained by the limitations of Notion’s database model or Roam’s graph approach and want a more structured outliner with AI built in
Not for
- Users who want a simple, frictionless note-taking experience without structural complexity
- Teams who need collaborative shared knowledge bases rather than personal knowledge management
- Users who want Notion’s extensive template ecosystem and visual page layouts
Rating
⭐⭐⭐⭐ 4.3 / 5
What Is Tana?
Tana is a knowledge management tool built on an outliner architecture where every bullet point is a node that can be given a type, tagged with supertags (schema-like definitions that add structure to nodes), referenced from other nodes, and queried using Tana’s search and filter system. The result is a note-taking environment that functions simultaneously as a writing tool and a personal database — notes about people, books, projects, and ideas can all be connected, filtered, and queried rather than just browsed.
The AI layer — Tana AI — is embedded as an inline command system. Any node or selection can be processed with an AI instruction: “summarize these notes,” “extract action items from this meeting,” “generate three follow-up questions based on this research,” or any custom prompt. The output appears as structured Tana nodes rather than a text block in a sidebar, making AI output part of the knowledge graph rather than a separate response.
How Tana Works
- Create nodes in the outliner. Write notes as bulleted nodes in Tana’s outliner. Each bullet can be expanded to reveal child nodes, creating a hierarchical information structure.
- Add supertags for structure. Define supertags — schema definitions with typed fields — and apply them to nodes. A book node might have fields for author, rating, genre, and status. A person node might have company, role, and relationship fields.
- Reference and connect nodes. Reference any node from anywhere in Tana using @mention syntax, creating a connected web of information that can be navigated and queried.
- Query your knowledge. Use Tana’s search and filter system to query all nodes of a specific type — “show all books with rating above 4 that I read this year” — surfacing information the same way a database query would.
- Run AI commands. Select any node or group of nodes and run an inline AI command — the AI processes the selected content and outputs structured nodes in response.
- Build custom workflows. Create Tana templates and command libraries for recurring workflows — meeting notes, research summaries, project tracking — that apply consistent structure automatically.
Key Features
- Outliner architecture where every node is structured, typed, and queryable
- Supertags for defining schema-like structure on any node type
- Node referencing for creating connections between any pieces of information
- Database-style querying and filtering across all tagged nodes
- Inline AI commands processing any selection with custom prompts
- AI output appearing as structured Tana nodes rather than text responses
- Template system for applying consistent structure to recurring workflows
- Daily notes for time-based knowledge capture alongside project-based structure
- Search across all nodes with property filters
Real-World Use Cases
- Research knowledge base: A researcher uses Tana to track papers, books, and ideas — each tagged with supertags defining their type, key claims, and connections to other nodes — then queries the knowledge base to surface all sources supporting a specific argument.
- Meeting intelligence: A consultant uses a Tana meeting template that captures attendees, decisions, and action items as typed nodes — with an AI command that automatically extracts and formats action items from meeting notes into a structured follow-up list.
- Writing research: A writer builds their entire book research in Tana — interview notes, book excerpts, statistics, and story ideas all tagged and interconnected — using AI commands to synthesize themes and generate chapter outlines from the connected material.
- Personal CRM: A professional uses Tana’s person supertag to track everyone in their network — with fields for relationship context, recent interactions, and follow-up actions — querying to surface people they have not connected with recently.
Pros and Cons
| Pros | Cons |
|---|---|
| Supertag and query system makes notes genuinely database-like | Significant learning curve before the full value becomes accessible |
| AI commands embedded in the outliner keep AI output in the knowledge graph | Steeper paradigm shift than most note-taking alternatives |
| Node referencing creates connections that standard notes cannot express | Not suitable for collaborative team knowledge bases |
| Query system surfaces information that browsing and searching misses | Free plan limited — full capability requires paid plan |
| Template system makes recurring workflows significantly faster over time | Visual page layout and media embedding less capable than Notion |
Pricing & Plans
Free — $0/month
- Core outliner
- Basic supertags
- Limited AI commands
- Community support
Tana+ — $16/month
- Unlimited nodes
- Full supertag system
- Unlimited AI commands
- Priority support
Best Alternatives & Comparisons
- Notion AI — Better for visual page layouts, extensive templates, and team collaboration, less structural querying depth
- Obsidian — Better for local-first graph-based note-taking with extensive plugin community, less AI integration
- Roam Research — Similar bidirectional linking and outliner approach, less structured supertag system
- Taskade — Better for AI agent workflows alongside notes, less structured knowledge management depth
Frequently Asked Questions (FAQ)
Tana is an AI-powered outliner and knowledge management tool where every note node can be structured with supertags, queried like a database, and processed with inline AI commands — creating a connected personal knowledge system.
Yes, Tana offers a free plan with core outliner and basic features. The Tana+ plan at $16/month provides unlimited nodes, full supertags, and unlimited AI commands.
Supertags are schema definitions applied to nodes — defining the fields and structure that any node of that type should have. A book supertag might define author, rating, and genre fields that appear on every node tagged as a book, making all book nodes queryable by any of those properties.
Tana AI processes any selected node or group of nodes with a natural language instruction — “summarize,” “extract action items,” “generate follow-up questions” — and outputs the result as structured Tana nodes that become part of the knowledge graph rather than appearing as a disconnected AI response.
Tana is more structured and queryable — its supertag and query system makes it genuinely database-like for knowledge management. Notion is more accessible, more visual, has extensive templates, and supports team collaboration better. Tana is for power users who want maximum knowledge structure; Notion for those who want a balance of structure and accessibility.
Tana is primarily designed for personal knowledge management rather than team collaboration. For shared team knowledge bases and project management, Notion or Coda AI are better suited.
Final Recommendation
Tana is the most structurally powerful personal knowledge management tool available for users who are willing to invest in learning its paradigm. The combination of supertags, node referencing, database-style querying, and embedded AI commands creates a knowledge environment that fundamentally changes what is possible with a collection of notes. The learning curve is real but the payoff for power users who commit to it is a personal knowledge system that surfaces connections and enables synthesis that standard note-taking tools simply cannot produce.
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