AI app for customer support · no coding needed
Source-linked support chatbot operations console
Reduce repeated support questions and subscription sprawl while keeping answers tied to the client's own content.
Made for: Support and engagement teams that answer repeated questions from their own content
What it does for you
The problem
Support teams rent several chatbot subscriptions to train on their own data, embed on their site, cover messaging channels and hand off to agents, while answers stay disconnected from sources and from their own workflow.
What it gives you
Source-linked chatbot answers, conversation summaries and agent handoffs
What you give it
Owned websitesdocumentshelp articlesmessage historyapproved external sources
Build your own version of Chaindesk, Droxy AI and more
One app with what these 10 AI tools do, yours to keep and change: Chaindesk, Droxy AI, BrainyBear, Resolve AI, Chatwith, ChatFast, ChatNode, Answerly, Docs AI, Bodt.io.
Everything these tools do, in one app
- Custom chatbot creation Build a chatbot tailored to your business needs without coding.Found in Chaindesk, Droxy AI, BrainyBear and 7 more
- Train on own data Train the chatbot using your existing content such as websites, documents, or text.Found in Chaindesk, Droxy AI, BrainyBear and 6 more
- Multilingual support Communicate with users in multiple languages.Found in Chaindesk, Droxy AI, BrainyBear and 5 more
- Website embedding Embed the chatbot directly into your website for easy access.Found in Chaindesk, Chatwith, ChatFast and 3 more
- Multi-platform integration Connect the chatbot to various messaging platforms like Slack, WhatsApp, and Facebook Messenger.Found in Chaindesk, Droxy AI, BrainyBear and 5 more
- Analytics and insights Track user interactions and gain insights to improve chatbot performance.Found in Chaindesk, Droxy AI, BrainyBear and 3 more
- Human handoff Seamlessly transfer complex conversations to human agents when needed.Found in Droxy AI, Resolve AI
- Lead generation Automatically collect leads and identify potential sales opportunities during interactions.Found in Droxy AI, Resolve AI
- Real-time data access Retrieve up-to-date information from external sources or APIs to answer queries.Found in BrainyBear, Chatwith
- No-code setup Set up and deploy chatbots without any programming knowledge.Found in Chaindesk, ChatFast, ChatNode and 1 more
- API access Integrate and customize the chatbot further using APIs.Found in ChatFast, Bodt.io
- Customization options Personalize the chatbot's appearance, tone, and responses to match your brand.Found in Chatwith, ChatNode, Answerly
- Conversation summaries Generate concise summaries of customer interactions for quick reference.Found in Resolve AI, Docs AI
- 24/7 availability Provide round-the-clock automated customer support.Found in Answerly, Bodt.io
- Knowledge base integration Connect to existing knowledge bases to provide accurate responses.Found in Answerly
- Visual workflow builder Create complex conversation flows using a drag-and-drop interface.Found in Answerly
- Smart scheduling Manage calendar events, send confirmations, and handle rescheduling automatically.Found in Answerly
- Security and compliance Protect data with encryption and comply with standards like GDPR.Found in ChatNode
How it works, step by step
- Create a custom chatbot from owned content without coding
- Train on websites, documents, help articles and text
- Answer in multiple languages
- Embed the chatbot on the client's website
- Connect Slack, WhatsApp and Facebook Messenger
- Track interactions and report performance
- Hand off complex conversations to human agents
- Collect leads and flag sales opportunities
- Retrieve current data from approved external sources and APIs
- Set up and deploy without programming
- Expose API access for further integration
- Personalize appearance, tone and responses to the brand
- Generate conversation summaries for quick reference
- Provide round-the-clock automated support
- Connect to existing knowledge bases
- Build conversation flows with a drag-and-drop interface
- Manage calendar events, confirmations and rescheduling
- Protect data with encryption and support GDPR-style controls
- 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 chatbot 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 operations 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 operations 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 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 questions and subscription sprawl while keeping answers tied to the client's own content. For support and engagement teams that answer repeated questions from their own content, convert owned websites, documents, help articles, message history and approved external sources into source-linked chatbot answers, conversation summaries and agent handoffs inside one owned console. The benefit is a testable hypothesis, measured through resolved conversations per support hour and escalation rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect owned websites, documents, help articles, message history and approved external sources, then follow this sequence: 1. Create a custom chatbot from owned content without coding. 2. Train on websites, documents, help articles and text. 3. Answer in multiple languages. 4. Embed the chatbot on the client's website. 5. Connect Slack, WhatsApp and Facebook Messenger. 6. Track interactions and report performance. 7. Hand off complex conversations to human agents. 8. Collect leads and flag sales opportunities. 9. Retrieve current data from approved external sources and APIs. 10. Set up and deploy without programming. 11. Expose API access for further integration. 12. Personalize appearance, tone and responses to the brand. 13. Generate conversation summaries for quick reference. 14. Provide round-the-clock automated support. 15. Connect to existing knowledge bases. 16. Build conversation flows with a drag-and-drop interface. 17. Manage calendar events, confirmations and rescheduling. 18. Protect data with encryption and support GDPR-style controls. Resolve uncertain cases with qualified reviewers, approve source-linked chatbot answers, conversation summaries and agent handoffs, and measure resolved conversations per support hour and escalation rate 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. One approved source set and one brand tone; final policy, legal and escalation decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, answer accuracy and usage permissions. Support owners approve substantive changes and escalation scope. One approved source set and one brand tone; final policy, legal and escalation decisions 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 approved source set and one brand tone; final policy, legal and escalation decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create a custom chatbot from owned content without coding; train on websites, documents, help articles and text. Support the third module with operator review: answer in multiple languages. 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
Client-owned websites, documents, help articles, message history and approved external sources. Cloud storage, messaging platforms, calendar systems and support desks. 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: Source library and training, Chatbot builder and preview, Live conversations and handoff, Analytics and value. Use a source list with training status, a central conversation canvas, and a right-hand panel for sources, tone, channels and review state. Let users compare draft and published answers side by side. Display draft, changes requested, approved and escalated states. Provide a client preview link with comments anchored to the relevant answer. Make the task-specific outcome source-linked chatbot answers, conversation summaries and agent handoffs visible beside its evidence, review state and value baseline.
