AI app for customer support · no coding needed
Source-linked support chatbot builder and console
Reduce repeated support handling while keeping every answer traceable to an approved source.
Made for: Support and operations teams that answer repeated questions from their own documents
What it does for you
The problem
Support answers are scattered across documents, sites and past tickets, so teams rent several chatbot tools and still cannot trace an answer to its source.
What it gives you
Source-linked draft answers and an administrator console
What you give it
Owned documentssite pagesfilespast tickets
Build your own version of MyChatbots.AI, Chat Data and more
One app with what these 10 AI tools do, yours to keep and change: MyChatbots.AI, Chat Data, CustomGPT, WizyChat, ZygoteAI, Kaya, Godly, ChatHelp, MyShell, Outchat AI.
Everything these tools do, in one app
- Custom chatbot creation Lets users build AI chatbots tailored to specific needs or brand personality.Found in MyChatbots.AI, Chat Data, CustomGPT and 5 more
- Train on own data Trains the chatbot using the user's own datasets or content so responses are personalized and contextually accurate.Found in MyChatbots.AI, Chat Data, WizyChat and 5 more
- No-code setup Allows users without technical expertise to build and deploy chatbots easily.Found in CustomGPT, WizyChat, Kaya and 1 more
- Website embedding Embeds the chatbot on a website, often as a widget.Found in MyChatbots.AI, Chat Data, ChatHelp
- API access Provides API access for integrating the chatbot into other applications.Found in Chat Data, MyShell
- Data privacy and security Keeps user data confidential and secure, with options like encrypted cloud hosting or browser-only data retention.Found in MyChatbots.AI, Chat Data, ChatHelp
- Multilingual support Supports multiple languages for global audiences.Found in WizyChat, ChatHelp
- Content ingestion Imports existing content or data sources to populate the chatbot's knowledge base.Found in CustomGPT, WizyChat, Outchat AI
- File management Uploads and manages files to optimize chatbot performance.Found in MyChatbots.AI, ChatHelp
- Messaging system Provides a robust messaging framework for effective communication.Found in MyChatbots.AI
- Flexible access options Allows chatbots to be shared publicly, privately, or with protected access.Found in CustomGPT
- Smart site scanner Automatically scans websites and resource centers to populate the chatbot's knowledge base.Found in WizyChat
- Personalized onboarding Offers personalized assistance to help users get started quickly.Found in WizyChat
- Content generation Generates natural language content with customizable tone and style.Found in ZygoteAI
- Data analysis Extracts insights from large datasets.Found in ZygoteAI
- Real-time collaboration Enables team projects with real-time collaboration features.Found in ZygoteAI
- Custom domain publishing Publishes the AI assistant on a custom domain.Found in Kaya, Outchat AI
- Voice capabilities Adds vocal characteristics to chatbots.Found in MyShell
- Infinite memory Retains context over long conversations.Found in MyShell
- Multimodal integration Combines text, voice, and visual outputs for richer interactions.Found in MyShell
- Monetization and payments Manages subscriptions so creators can charge users directly.Found in Outchat AI
- White-label branding Offers branding and white-label options, including removal of platform branding.Found in Outchat AI
How it works, step by step
- Create a custom chatbot for a defined brand and support scope
- Train it on owned documents, site pages, files and past tickets
- Set it up without code
- Embed it on a website as a widget
- Expose an API for other applications
- Apply data privacy and security settings, including encrypted hosting or browser-only retention
- Answer in multiple languages
- Ingest existing content from approved sources
- Upload and manage files for the knowledge base
- Run a messaging framework for live conversations
- Set public, private or protected access
- Scan approved sites and resource centers to populate the knowledge base
- Provide personalized onboarding for new administrators
- Generate natural-language content with a set tone and style
- Extract insights from conversation and dataset reports
- Support real-time team collaboration on knowledge and answers
- Publish the assistant on a custom domain
- Add voice capabilities where required
- Retain context over long conversations
- Combine text, voice and visual outputs
- Manage subscriptions and payments where the buyer charges end users
- Apply white-label branding and remove platform branding
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned source-linked answer set 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 Source-linked support chatbot builder and 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 Source-linked support chatbot builder and 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 build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 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 repeated support handling while keeping every answer traceable to an approved source. For support and operations teams that answer repeated questions from their own documents, convert owned documents, site pages, files and past tickets into source-linked draft answers and an administrator console. The benefit is a testable hypothesis, measured through accepted answers per support hour and corrections after publication; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect owned documents, site pages, files and past tickets, then follow this sequence: 1. Create a custom chatbot for a defined brand and support scope. 2. Train it on owned documents, site pages, files and past tickets. 3. Set it up without code. 4. Embed it on a website as a widget. 5. Expose an API for other applications. 6. Apply data privacy and security settings. 7. Answer in multiple languages. 8. Ingest existing content from approved sources. 9. Upload and manage files for the knowledge base. 10. Run a messaging framework for live conversations. 11. Set public, private or protected access. 12. Scan approved sites and resource centers. 13. Provide personalized onboarding. 14. Generate natural-language content with a set tone and style. 15. Extract insights from conversation and dataset reports. 16. Support real-time team collaboration. 17. Publish the assistant on a custom domain. 18. Add voice capabilities where required. 19. Retain context over long conversations. 20. Combine text, voice and visual outputs. 21. Manage subscriptions and payments. 22. Apply white-label branding. Resolve uncertain cases with qualified reviewers, approve source-linked draft answers and an administrator console, and measure accepted answers per support hour and corrections after publication against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate answers 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. Final policy, legal and escalation decisions remain with the support owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Support owners approve substantive answers and escalation scope. One support domain, one approved source set and one website widget; final policy, legal and escalation decisions remain with the support owner. 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 support domain, one approved source set and one website widget; final policy, legal and escalation decisions remain with the support owner. Implement one approved input format, a bounded representative case set and the first two task modules: create a custom chatbot for a defined brand and support scope; train it on owned documents, site pages, files and past tickets. Support the remaining modules with operator review: set it up without code; embed it on a website as a widget; expose an API; apply data privacy and security settings; answer in multiple languages; ingest existing content; upload and manage files; run a messaging framework; set access; scan approved sites; provide onboarding; generate content; extract insights; support collaboration; publish on a custom domain; add voice; retain context; combine outputs; manage subscriptions; apply white-label branding. 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
Buyer-owned documents, site pages, files and past tickets. Cloud storage, helpdesk and ticketing systems, website platforms and messaging 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: Knowledge sources and permissions, Chatbot builder and test console, Live assistant and administrator console. Use a source list with ingestion status, a central conversation canvas with a right-hand panel for citations, confidence and escalation, and an admin view for access, usage and review states. Let users compare draft and approved answers side by side. Display draft, changes requested and approved states. Provide a shareable preview link with comments anchored to the relevant answer. Make the task-specific outcome source-linked draft answers and an administrator console visible beside its evidence, review state and value baseline.
