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TokenLab

One design truth. For all.

View in the ChatGPT registry
Integration details

Description

Define the design truth for a brand, product, or system. Turn it into tokens, guidance, and production outputs while people, automations, and AI contribute through one reviewable workflow. Use TokenLab in ChatGPT and Codex to explore workspaces, projects, libraries, modes, aliases, and releases, resolve tokens for implementation, and prepare governed changes on branches for human review.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Content & Design

The broad Category that contains the Primary Subcategory.

Primary Subcategory
UI Component Libraries & Design Systems

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-09-24
Tool count
45
Geography
US

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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
Better DesignComing soonGet notified
Lumen UIComing soonGet notified
SupericonsComing soonGet notified
TokenLabComing soonGet notified
VlakComing soonGet notified
zeroheightComing soonGet notified
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

45 tools agents can invoke

TokenLab FAQ
How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are TokenLab alternatives on ChatGPT?

As of 2026-09-28, TokenLab competes with Better Design, Lumen UI, Supericons, Vlak, zeroheight in ChatGPT UI Component Libraries & Design Systems, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.