What is AI Toolbox?

If you use more than one AI platform, your work is scattered across four separate histories with no way to search them together. AI Toolbox fixes that. It adds a full organization layer directly inside ChatGPT, Claude, Gemini, and Grok: nested folders for your conversations, a searchable prompt library with reusable variables, automatic topic tagging, message bookmarks, and one-click export to TXT, Markdown, JSON, or PDF, individually or in bulk as a ZIP.

The part nothing else does is unification.One search box returns results from every platform at once, deep-linked back to the original chat.Your folders, prompts, and tags are shared across all four, so a rule you create on Claude is live on ChatGPT instantly.

A browser-level shortcut opens that search from any tab, even with no AI site open.You can even carry a conversation's context into a fresh chat on a different platform.Everything is stored locally in your browser.

Nothing is uploaded, and cross-platform features are off until you turn them on.

AI Toolbox pricing Freemium

Teams annual $12 per seat/mo (annual billing)
Teams monthly $15 per seat/mo
Premium annual chatgpt $59/year
Premium annual gemini $59/year
Premium annual claude $59/year
Premium annual grok $59/year
Premium lifetime chatgpt $99
Premium lifetime gemini $99
Premium lifetime claude $99
Premium lifetime grok $99
All access lifetime $199
Seeper platform monthly chatgpt $9.99/mo
Seeper platform monthly gemini $9.99/mo
Seeper platform monthly claude $9.99/mo
Seeper platform monthly grok $9.99/mo

AI Toolbox user reviews

Based on 3 reviews, 100.0% of users recommend AI Toolbox, rated highly for quality results.

3
recommend
0
don't
3 reviews

Liked for

Quality results 3 of 3
Worth the price 3 of 3
Easy to use 3 of 3
All key features 2 of 3
Good integrations 2 of 3
Would you recommend AI Toolbox?

AI Toolbox's key features

  • Cross-platform conversation management (ChatGPT, Gemini, Claude, Grok)
  • Folders, nested subfolders, bookmarks, smart tags and automatic tagging
  • Full-text, cross-platform search with role, date and exact-match filters
  • Bulk actions for exporting, archiving and deleting, with one-click export to TXT, Markdown, JSON, PDF and ZIP
  • Prompt management with saved prompts, public prompt library, prompt chaining and inline insertion shortcuts

AI Toolbox use cases

  • Organize and streamline cross‑model research for product teams by collecting outputs from ChatGPT, Gemini, Claude and Grok into folders and nested subfolders, using automatic tagging and prompt‑chaining workflows to make insights reproducible, performing full‑text cross‑platform searches, and exporting research bundles as MD/ZIP for stakeholder sharing
  • Create, iterate and repurpose content with a multi‑model drafting workspace by bookmarking and versioning conversations, managing reusable prompts, handling images and audio inline, linking to specific chats with deep links, and bulk‑exporting finalized drafts as Markdown or PDF for publishing
  • Manage customer support and compliance logs across models by grouping client threads into labeled folders, applying automatic tags and bookmarks, using the conversation analytics dashboard to compare model performance, and bulk‑exporting transcripts (TXT/JSON/PDF) for audits or legal review

Who is it for?

  • Prompt engineers
  • Content creators
  • Product managers
  • Researchers
  • Customer support teams

Community Discussions

Marc jennings 20 days ago 1

Do you auto select rhe model based on the prompt or am I going to get a different reply on every query from each model ? Or do I select the model manualy for each query ?

Infi 19 days ago
Neither, and I think the confusion is worth clearing up because it changes what you'd expect from the extension. AI Toolbox doesn't pick models and doesn't send your prompts anywhere. It isn't a router or an aggregator sitting between you and the AI. You keep working exactly as you do now, on ChatGPT, Claude, Gemini or Grok. You pick your model there, with that platform's own model picker, and the reply comes from that model. Nothing about that changes. What we add is a layer on top: folders and subfolders, search across your whole history, saved prompts you can drop in with , bulk export, automatic tagging. So there's no "different reply from each model" happening, because we never send a query to more than one place. One chat, one model, the one you selected. The only place a model name comes up on our side is the context meter, which reads which model you're currently on so it can estimate how full that conversation's context window is. That's read-only, and you can override the plan yourself if the detection guesses wrong. The one thing that does span platforms is your organization. Your folders, prompts and tags can follow you across all four, so a prompt you save on Claude is there when you're on ChatGPT. But the conversation itself always stays on whichever platform you're using.
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