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Tana Fundamentals 02 - Intro to Supertags thumbnail

Tana Fundamentals 02 - Intro to Supertags

CortexFutura Tools·
5 min read

Based on CortexFutura Tools's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Super tags turn notes into typed entities by attaching field templates and defining relationships, making workspace content more machine- and AI-readable.

Briefing

Tana’s super tags are built to turn ordinary notes into structured, relationship-aware “things”—and that structure is what makes both automation and AI work reliably. Instead of tagging as a loose label (like “productivity” or “history”), super tags define a semantic role for a note, such as “task,” and then attach a template of fields that consistently describe that role. A note tagged as a task automatically carries fields like status, due date, and a related project, making it easy to read and easy for AI to interpret across an entire workspace.

Super tags also create a semantic graph through a simple convention: “has” and “is” relationships. A task “has” a related project, and that related project is itself a note with a “project” super tag. Fields then link to other notes that match the expected relationship type—so the workspace becomes a network of typed connections rather than a pile of unrelated pages. This graph is the foundation for deeper understanding now, and it’s positioned to become even more powerful as AI starts operating on the structure of that network.

Beyond the built-in task super tag, Tana supports creating new super tags in two ways: by typing a hashtag plus the tag name (which triggers an auto-filtering dropdown and creates the tag if it doesn’t exist), or by creating a note named after the tag and converting it into a super tag. Each super tag includes a template of fields that gets applied every time the tag is used. Fields can be added to templates after the fact (“add to template”), and their types can be changed—ranging from text to dates, numbers, URLs, emails, and checkboxes. Option fields become dropdowns; for example, the task status field can be configured with values like “to-do,” “done,” “canceled,” or “dropped.”

A key productivity feature is auto-initialization for relationship fields. When a note is indented under a parent note that has a relevant super tag, Tana can automatically fill fields like “related project” based on the ancestor context—so users don’t have to manually set the relationship each time.

Super tags are also composable. Adding multiple super tags to a note merges their field templates, and colors indicate which super tag each field comes from. Even more powerful, one super tag can inherit from another (“extend from”), so a “design task” can automatically include all “task” fields plus extra ones like a Figma URL. That inheritance means searches for “task” can still surface “design task” items without requiring users to apply multiple tags.

For AI readiness, super tags can be assigned a base type from Tana’s built-in categories, helping AI understand what the tag is for. Fields can be configured as AI-enhanced option fields that use AI to infer and populate values—such as identifying the topic of a quote and linking it to an existing “topic” note (or creating one if needed). Tana also supports AI instructions per super tag and voice-driven workflows via audio-enabled super tags, where recorded audio is transcribed into a child note and summarized back into the tagged note. The result is a system where structure, relationships, and AI automation reinforce each other rather than competing for attention.

Cornell Notes

Super tags in Tana turn notes into typed “things” by attaching a field template and defining relationships between notes. A task super tag, for instance, adds fields like status, due date, and a related project, and those fields link to notes that carry the expected super tags. This creates a semantic graph that supports both consistent organization and deeper AI understanding. Super tags can be composed (multiple tags merge fields) and inherited (a design task can extend task, so it automatically counts as a task in searches). With AI-enhanced fields and base types, Tana can infer values like a quote’s topic and link to existing topic notes, while audio-enabled super tags enable voice capture and transcription.

How do super tags differ from ordinary tagging in Tana, and why does that matter for AI?

Ordinary tags often act like loose labels (“this note is about productivity”). Super tags instead define a note’s role and attach a structured template of fields. That structure makes relationships explicit—e.g., a task “has” a related project—and it gives AI consistent, typed signals about what each note represents. Because fields and relationships are standardized, AI can interpret and operate on workspace content more reliably than with free-form labels.

What is the “has/is” relationship idea, and how does it show up in fields?

Tana’s model treats super tags as relationship types. A task note can “have” a related project, while the related project note is “a” project. Fields then reference other notes that match the expected super tag. For example, the task super tag includes a related project field that populates from notes tagged as “project,” and the field links the task to the correct project note.

How does Tana reduce manual work when setting relationship fields?

Tana can auto-initialize relationship fields based on hierarchy context. If a note is indented under a parent note that has a project super tag, then tagging the indented note as a task can automatically fill the related project field to match the ancestor. This avoids repeatedly selecting the same project for every related task.

What does it mean for super tags to be composable and inheritable?

Composable means multiple super tags applied to one note merge their field templates—so a note can carry fields from both tags. Inheritable means one super tag can extend another (e.g., “design task” extends “task”), so it inherits task fields like status and due date while adding new fields like a Figma URL. Inheritance also affects discovery: searching for “task” can surface “design task” notes because they inherit the task identity.

How does Tana make super tags and fields “AI ready”?

Super tags can be given a base type from Tana’s built-in categories so AI understands what the tag is used for. Fields can be configured as AI-enhanced option fields. In the example with a quote, an AI-enhanced “topics” field can infer the topic from the quote text, then either link to an existing topic note or create a new one if no suitable topic exists.

How do audio-enabled super tags work in practice?

An audio-enabled super tag adds a microphone workflow to notes tagged with it. When the user records audio, Tana transcribes the speech into a child note and also generates a summary for the tagged note. This supports quick idea capture without typing.

Review Questions

  1. Explain how a task super tag’s fields connect to other notes and what that implies for workspace structure.
  2. Describe the difference between composing super tags on a note versus inheriting one super tag from another.
  3. Give an example of how AI-enhanced fields could reduce manual tagging or linking in a Tana workspace.

Key Points

  1. 1

    Super tags turn notes into typed entities by attaching field templates and defining relationships, making workspace content more machine- and AI-readable.

  2. 2

    Tana’s “has/is” relationship approach links fields to other notes based on expected super tags, forming a semantic graph.

  3. 3

    Super tags can be created via hashtag naming or by converting a note into a super tag, and they can include typed fields like option dropdowns, URLs, and dates.

  4. 4

    Relationship fields can auto-initialize from ancestor context, reducing repetitive manual linking when notes are indented under parent items.

  5. 5

    Super tags are composable (multiple tags merge fields) and inheritable (one tag can extend another), enabling systems like “design task” that automatically behave as “task.”

  6. 6

    AI readiness comes from setting super tag base types and configuring fields as AI-enhanced option fields that can infer and link values from note content.

  7. 7

    Audio-enabled super tags streamline capture by transcribing recorded speech into child notes and summarizing it back into the tagged note.

Highlights

A task super tag doesn’t just label a note—it adds a consistent set of fields (status, due date, related project) that link to other typed notes.
Inheritance lets “design task” automatically include all “task” fields and still show up in searches for tasks without extra tagging.
AI-enhanced fields can infer a quote’s topic and link to an existing topic note or create one when needed.
Auto-initialize for relationship fields can fill “related project” automatically based on indentation under a project note.
Audio-enabled super tags add a microphone workflow that transcribes audio into a child note and summarizes it.

Topics

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