AI app for customer support · no coding needed
Source-linked website support assistant console
Reduce repeated support answering while keeping every reply traceable to an approved source.
Made for: Support and operations teams answering customer questions from their own website and documents
What it does for you
The problem
Customer questions are answered inconsistently across channels, and teams cannot show which document supported an answer or hand a conversation to a person with context.
What it gives you
Source-linked answers, pinned replies and human handoffs
What you give it
Approved website pagesPDFsFAQsdocumentsbrand voice rulesescalation policies
Build your own version of ChatWebby AI, thinkstack.AI and more
One app with what these 10 AI tools do, yours to keep and change: ChatWebby AI, thinkstack.AI, Owlish, Brainybear.ai, Dhibot, Wonderchat, Norby AI, DialogGPT, Chatboat, Lemchat.
Everything these tools do, in one app
- Website and document training Trains the chatbot on content from websites, PDFs, FAQs, and documents so it can answer using your own information.Found in Owlish, Brainybear.ai, Dhibot and 3 more
- Natural language understanding Interprets user questions in everyday language to provide relevant answers.Found in ChatWebby AI, Dhibot, Chatboat and 1 more
- Easy website integration Embeds the chatbot on a website with minimal technical effort, often via a code snippet.Found in ChatWebby AI, Dhibot, Norby AI and 2 more
- Customizable responses Lets businesses adjust the chatbot's replies to match their brand voice, industry, or specific use cases.Found in ChatWebby AI, Dhibot, Chatboat and 1 more
- Analytics dashboard Provides insights into chatbot interactions and user behavior to monitor performance.Found in ChatWebby AI, Chatboat
- Multilingual support Enables the chatbot to communicate with users in multiple languages.Found in Wonderchat, Lemchat
- Source citations Shows the exact pages or documents used to form each answer, increasing transparency.Found in Owlish
- Human handoff Transfers conversations to a human agent when needed, providing context like transcript and summary.Found in Owlish
- Pinned replies Allows teams to enforce exact wording for high-stakes or sensitive questions.Found in Owlish
- Automatic content syncing Regularly updates the chatbot's knowledge by re-crawling websites or syncing documents.Found in Owlish, Wonderchat
- No-code setup Enables users to build and deploy a chatbot without programming knowledge.Found in Norby AI, Brainybear.ai, Wonderchat
- Free message credits Offers initial free interactions to test the chatbot before committing to a paid plan.Found in Brainybear.ai, Lemchat
- Lead capture Automatically collects contact information from users when the chatbot is offline or during interactions.Found in Lemchat
- Multi-channel support Allows the chatbot to operate on websites, social media, and messaging apps.Found in Chatboat, Norby AI
- Customizable conversation flows Lets businesses design specific paths and logic for chatbot interactions.Found in Chatboat
- Fine-tuning Supports training the model further on domain-specific data to improve accuracy.Found in DialogGPT
- Open-source availability Provides access to the model's code for customization and integration.Found in DialogGPT
- Security measures Protects data with encryption and access controls.Found in Dhibot
How it works, step by step
- Crawl approved website pages and sync documents
- Train answers on PDFs, FAQs and documents
- Interpret customer questions in everyday language
- Generate answers with source citations
- Enforce pinned replies for sensitive questions
- Apply brand voice and industry wording rules
- Support multiple languages
- Embed the widget on a website by code snippet
- Design custom conversation flows and logic
- Capture leads when the assistant is offline
- Hand off to a human agent with transcript and summary
- Run on website, social and messaging channels
- Re-crawl and re-sync on a schedule
- Show interaction and user-behavior analytics
- Fine-tune on approved domain data
- 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 website support assistant 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 website support assistant 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 data195 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 answering while keeping every reply traceable to an approved source. For support and operations teams answering customer questions from their own website and documents, convert crawled website pages, PDFs, FAQs and documents into source-linked answers, pinned replies and human handoffs under named-owner approval. 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 approved website pages, PDFs, FAQs, documents and brand voice rules, then follow this sequence: 1. Crawl approved website pages and sync documents. 2. Train answers on PDFs, FAQs and documents. 3. Interpret customer questions in everyday language. 4. Generate answers with source citations. 5. Enforce pinned replies for sensitive questions. Resolve uncertain cases with qualified reviewers, approve source-linked answers, pinned replies and human handoffs, 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. One approved source set and brand voice guide; final policy wording and escalation decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Named owners approve substantive answer changes and publication scope. One approved source set and brand voice guide; final policy wording 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 brand voice guide; final policy wording and escalation decisions remain human. Implement one approved input format, a bounded representative question set and the first two task modules: crawl approved website pages and sync documents; train answers on PDFs, FAQs and documents. Support the remaining modules with operator review: interpret customer questions, generate answers with source citations, enforce pinned replies. 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
Company-owned websites, document stores, help desks and messaging channels. Cloud storage, CMS import/export and support inbox 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 training, Editable answer preview, Live conversations and handoff. Use a source list with crawl and sync status, a central answer canvas showing the cited passage, and a right-hand panel for brand voice, pinned replies and escalation rules. Let users compare draft and approved answers side by side. Display draft, changes requested and approved states. Provide a client-facing widget preview with comments anchored to the relevant answer. Make the task-specific outcome source-linked answers, pinned replies and human handoffs visible beside its evidence, review state and value baseline.
