AI app for it and development · no coding needed
Custom AI assistant directory and build console
Reduce the number of rented tools while keeping one searchable, owned library of custom assistants.
Made for: Teams and independent builders who create and use custom GPT-based AI assistants
What it does for you
The problem
Assistant builders and users scatter their work across several directory, builder and analytics subscriptions, so discovery, creation and performance data never sit in one owned place.
What it gives you
A reviewed, searchable assistant library with build and test records
What you give it
Assistant definitionspromptscategoriesratingsreviewsusage events
Build your own version of Custom GPT Store, Search a GPT and more
One app with what these 10 AI tools do, yours to keep and change: Custom GPT Store, Search a GPT, GPT Store, GPTs Nest, All GPTs, GPTsGarden, GPT Discovery Assistant, Custom GPTs Store, Top GPTs, GPTsdex.
Everything these tools do, in one app
- Custom GPT creation Allows users to build their own GPT-based models with personalized prompts and instructions.Found in Custom GPT Store, GPTs Nest, GPTsGarden
- GPT directory Provides a searchable collection of custom GPT models for users to browse and discover.Found in Search a GPT, GPT Store, All GPTs and 2 more
- User submissions Enables users to add their own GPTs to the platform's collection.Found in Search a GPT, All GPTs, GPT Discovery Assistant and 1 more
- Upvoting and ratings Lets users vote for or rate GPTs to highlight popular and well-regarded options.Found in Search a GPT, GPT Store, Custom GPTs Store and 1 more
- Search and filter Helps users quickly find relevant GPTs using search terms and category filters.Found in Search a GPT, All GPTs, Top GPTs
- Categorization and tags Organizes GPTs into categories or tags for easier browsing.Found in Search a GPT, GPT Store, All GPTs and 2 more
- Community reviews Allows users to leave reviews or comments on individual GPTs.Found in GPT Store, Custom GPTs Store
- Personalized recommendations Suggests GPT models based on user input and requirements.Found in GPT Discovery Assistant
- In-platform testing Enables users to try out GPT models directly within the platform.Found in Top GPTs
- Creator monetization Provides ways for GPT creators to earn revenue through engagement or other strategies.Found in GPT Store
- Collaboration and sharing Supports sharing models and collaborating with others on GPT projects.Found in Custom GPT Store, GPTsGarden
- No-code builder Offers a visual interface to create chatbots without programming.Found in GPTs Nest, GPTsGarden
- Customizable AI behavior Allows users to tailor the personality and response style of their AI agents.Found in GPTs Nest, GPTsGarden
- External integrations Connects AI agents with other platforms, APIs, or software.Found in GPTs Nest, GPTsGarden, GPTsdex
- Multi-language support Enables AI models to understand and generate content in multiple languages.Found in GPTs Nest, GPTsdex
- Analytics dashboard Provides insights into chatbot performance and user interactions.Found in GPTs Nest
- AI text generation Generates coherent text based on customizable prompts.Found in GPTsdex
- Content editing tools Offers tools to refine and optimize generated text.Found in GPTsdex
How it works, step by step
- Create custom GPT-based assistants with personalized prompts and instructions
- Browse a searchable directory of submitted assistants
- Accept user submissions into a review queue
- Collect upvotes and ratings on published assistants
- Search and filter by term, category and tag
- Organize assistants into categories and tags
- Capture community reviews and comments per assistant
- Suggest assistants from stated user requirements
- Test assistants inside the platform before publishing
- Support creator monetization through disclosed engagement terms
- Share assistants and collaborate on build projects
- Provide a no-code visual builder
- Tune assistant personality and response style
- Connect assistants to permitted external APIs and software
- Support multiple languages in prompts and outputs
- Show an analytics dashboard for assistant performance and interactions
- Generate text from customizable prompts
- Provide content editing tools to refine generated text
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before publishing
- Export a versioned reviewed, searchable assistant library with build and test 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 Custom AI assistant directory and build 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 Custom AI assistant directory and build 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 links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data197 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 the number of rented tools while keeping one searchable, owned library of custom assistants. For teams and independent builders who create and use custom GPT-based AI assistants, convert assistant definitions, prompts, categories, ratings, reviews and usage events into a reviewed, searchable assistant library with build and test records. The benefit is a testable hypothesis, measured through assistants published per builder hour and verified uses per published assistant; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect assistant definitions, prompts, categories, ratings, reviews and usage events, then follow this sequence: 1. Create custom GPT-based assistants with personalized prompts and instructions. 2. Browse a searchable directory of submitted assistants. 3. Accept user submissions into a review queue. 4. Collect upvotes and ratings on published assistants. 5. Search and filter by term, category and tag. 6. Organize assistants into categories and tags. 7. Capture community reviews and comments per assistant. 8. Suggest assistants from stated user requirements. 9. Test assistants inside the platform before publishing. 10. Support creator monetization through disclosed engagement terms. 11. Share assistants and collaborate on build projects. 12. Provide a no-code visual builder. 13. Tune assistant personality and response style. 14. Connect assistants to permitted external APIs and software. 15. Support multiple languages in prompts and outputs. 16. Show an analytics dashboard for assistant performance and interactions. 17. Generate text from customizable prompts. 18. Provide content editing tools to refine generated text. Resolve uncertain cases with qualified reviewers, approve a reviewed, searchable assistant library with build and test records, and measure assistants published per builder hour and verified uses per published assistant against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 fixed assistant schema and permitted integration set; final publishing and content checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve builder voice, source attribution, content accuracy and usage permissions. Builders approve substantive changes and publishing scope. One fixed assistant schema and permitted integration set; final publishing and content checks remain human. 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 fixed assistant schema and permitted integration set; final publishing and content checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create custom GPT-based assistants with personalized prompts and instructions; browse a searchable directory of submitted assistants. Support the remaining modules with operator review. 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
Builder-owned assistant definitions, authorized API endpoints and permitted model providers. Cloud storage, identity providers, analytics destinations 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: Assistant library and search, Build and test console, Performance and stewardship. Use a thumbnail gallery for assistants, a large central build canvas, and a right-hand panel for prompts, categories, reviews and constraints. Let users compare assistant versions side by side. Display draft, in review and published states. Provide a shareable assistant preview link with comments anchored to the relevant assistant. Make the task-specific outcome a reviewed, searchable assistant library with build and test records visible beside its evidence, review state and value baseline.
