AI app for it and development · no coding needed
Cross-platform AI conversation library and stewardship console
Reduce time spent finding and reusing past AI conversations while keeping the data under the owner's control.
Made for: Developers, researchers and knowledge workers who use several AI chat platforms and need to retrieve and reuse past conversations
What it does for you
The problem
AI chat conversations are scattered across platforms, hard to search, and lost when a session or account changes.
What it gives you
A searchable, owner-controlled conversation library with exportable records
What you give it
Imported conversation exportssaved snippetstagspromptsfolder rules
Build your own version of ChatGPT Folder Master, ChatFolders and more
One app with what these 6 AI tools do, yours to keep and change: ChatGPT Folder Master, ChatFolders, GPTBLOX - ChatGPT/Bard/Claude Save Data, GPT Burger, Easy Folders, Cursor Convo Export.
Everything these tools do, in one app
- Conversation organization Allows users to group and manage AI chat conversations into folders for better organization.Found in ChatGPT Folder Master, ChatFolders, GPTBLOX - ChatGPT/Bard/Claude Save Data and 1 more
- Cross-platform support Enables organization and management of conversations from multiple AI chat platforms in one tool.Found in ChatFolders, GPTBLOX - ChatGPT/Bard/Claude Save Data
- Local storage Stores conversation data locally on the user's device to ensure privacy and data security.Found in ChatGPT Folder Master, ChatFolders
- Search functionality Provides a search feature to quickly find specific chats or prompts.Found in ChatFolders, Easy Folders
- Tagging Allows users to add tags to conversations or snippets for categorization and quick reference.Found in ChatFolders, GPT Burger
- Export options Enables exporting conversations or saved snippets into various formats for backup or sharing.Found in GPTBLOX - ChatGPT/Bard/Claude Save Data, GPT Burger, Cursor Convo Export
- Drag-and-drop organization Lets users reorder and organize folders or tags using drag-and-drop.Found in ChatFolders, GPT Burger
- Color-coding Uses colors to visually group and differentiate folders or tags.Found in ChatFolders, GPT Burger
- Bookmarks Allows users to bookmark specific conversations or chat snippets for easy access.Found in ChatFolders, GPT Burger
- Auto-rules Automatically sorts new chats into folders based on title patterns.Found in ChatFolders
- Sub-folders Supports creating nested folders for more detailed organization.Found in ChatFolders, Easy Folders
- Prompt library Provides a built-in library to store, manage, and reuse prompts.Found in Easy Folders
- Batch export Enables exporting multiple conversations at once to save time.Found in Cursor Convo Export
- Format preservation Maintains the original structure and formatting of conversations when exporting.Found in Cursor Convo Export
- Direct navigation Allows users to jump back to the original chat spot by clicking a tag.Found in GPT Burger
- Custom prompts Enables using saved content as custom prompts for further AI interactions.Found in GPT Burger
- Secure data handling Ensures user privacy and control over saved content through secure storage methods.Found in GPTBLOX - ChatGPT/Bard/Claude Save Data
- Free tier Offers a free version with basic functionality, allowing users to try the core experience.Found in ChatGPT Folder Master, ChatFolders, GPTBLOX - ChatGPT/Bard/Claude Save Data and 2 more
How it works, step by step
- Import conversation exports from supported AI chat platforms
- Group conversations into folders and sub-folders
- Apply tags, colors and bookmarks to conversations and snippets
- Search across titles, prompts, tags and message text
- Auto-sort new chats into folders by title pattern rules
- Store the library locally on the owner's device
- Drag and drop to reorder folders and tags
- Maintain a reusable prompt library
- Jump back to the original chat spot from a tag or bookmark
- Reuse saved content as custom prompts
- Batch export selected conversations
- Preserve original structure and formatting on export
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned searchable, owner-controlled conversation library with exportable records with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Cross-platform AI conversation library and stewardship console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Cross-platform AI conversation library and stewardship console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce time spent finding and reusing past AI conversations while keeping the data under the owner's control. For developers, researchers and knowledge workers who use several AI chat platforms and need to retrieve and reuse past conversations, convert imported conversation exports, saved snippets, tags, prompts and folder rules into a searchable, owner-controlled conversation library with exportable records. The benefit is a testable hypothesis, measured through time to retrieve a prior conversation or prompt and reuse rate of stored conversations; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect imported conversation exports, saved snippets, tags, prompts and folder rules, then follow this sequence: 1. Import conversation exports from supported AI chat platforms. 2. Group conversations into folders and sub-folders. 3. Apply tags, colors and bookmarks to conversations and snippets. Resolve uncertain cases with qualified reviewers, approve a searchable, owner-controlled conversation library with exportable records, and measure time to retrieve a prior conversation or prompt and reuse rate of stored conversations against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supported export format per platform and local storage; final data classification and retention decisions remain the owner's. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve owner voice, source attribution, quotation accuracy and usage permissions. Owners approve substantive changes and publication scope. One supported export format per platform and local storage; final data classification and retention decisions remain the owner's. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One supported export format per platform and local storage; final data classification and retention decisions remain the owner's. Implement one approved input format, a bounded representative case set and the first two task modules: import conversation exports from supported AI chat platforms; group conversations into folders and sub-folders. Support the third module with operator review: apply tags, colors and bookmarks to conversations and snippets. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Owner-authorized conversation exports, permitted research sources and local file storage. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Library and import, Search and tag console, Export and stewardship. Use a folder tree with drag-and-drop on the left, a conversation list in the center, and a detail panel with tags, bookmarks, colors and source link on the right. Let users compare saved versions side by side. Display imported, tagged, bookmarked and exported states. Provide a client preview link with comments anchored to the relevant conversation. Make the task-specific outcome a searchable, owner-controlled conversation library with exportable records visible beside its evidence, review state and value baseline.
