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Havi

Create sharp slides in seconds

Category
Pending
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

Havi transforms rough ideas into polished, presentation-ready slides instantly. Start with a prompt, a few notes, or a rough outline. The app builds the narrative, layout, and design so you can stay focused on your messaging. Build aesthetic slides with zero design effort. You can ask for things like "Turn my product notes into a 5-slide overview" or "Create an onboarding presentation for new hires". The app also supports instant edits with commands like "simplify the text on slide 2" or "change the theme to something more professional". All presentations save automatically and can also be exported into both PDF and PPT formats directly. How to Use 1. Connect the Havi App from the directory 2. Type "@" and tag Havi app, or type "Havi", then enter your prompt to generate stunning slides instantly

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

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

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-09-03
Tool count
30
Geography
US

ChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Havi has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

30 tools agents can invoke

Havi 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.

Where is this profile measured?

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