AI app for customer support · no coding needed
Source-linked website answer and explanation console
Reduce repeat support contacts while keeping every answer traceable to a named source.
Made for: Support and content teams running a public website, help centre or product dataset
What it does for you
The problem
Visitors cannot find answers in scattered pages and datasets, and support staff cannot see which sources were used or where the assistant failed.
What it gives you
Source-linked answers, explanations and walkthroughs
What you give it
Approved pagesdocumentsdataset records
Build your own version of Trieve Sitesearch, Trieve Vector Inference and more
One app with what these 6 AI tools do, yours to keep and change: Trieve Sitesearch, Trieve Vector Inference, Overlay by Crisp, Inkeep, Explainit, Vectorize 2.0.
Everything these tools do, in one app
- AI-powered search Uses AI to find relevant content based on user queries.Found in Trieve Sitesearch, Overlay by Crisp
- Vector similarity search Finds similar items in large datasets using vector representations.Found in Trieve Vector Inference
- Custom AI training Allows training the AI on company-specific data to match brand voice.Found in Overlay by Crisp
- Interactive explanations Generates simplified explanations for complex topics and allows follow-up questions.Found in Explainit
- No-code chat agents Provides hosted chat agents that can be deployed without coding.Found in Vectorize 2.0
- Drag-and-drop editor Enables creating interactive walkthroughs without coding.Found in Inkeep
- Real-time analytics Tracks user behavior and engagement in real time.Found in Inkeep, Trieve Sitesearch
- Multi-language support Supports multiple languages for diverse user bases.Found in Inkeep, Vectorize 2.0
- Integration options Offers APIs, SDKs, or widgets for easy integration with other platforms.Found in Trieve Sitesearch, Trieve Vector Inference, Overlay by Crisp and 3 more
- Customizable interface Allows tailoring the search or explanation interface to match branding or preferences.Found in Trieve Sitesearch, Inkeep, Explainit
- Real-time data syncing Keeps vector databases up to date with source data continuously.Found in Vectorize 2.0
- Hybrid search Combines text and semantic search for more accurate retrieval.Found in Vectorize 2.0
- Knowledge graph Uses a knowledge graph to enhance search relevance and understanding.Found in Vectorize 2.0
- Live support handoff Smoothly transitions users from AI search to human assistance.Found in Overlay by Crisp
- Batch processing Supports processing multiple queries or data points at once.Found in Trieve Vector Inference
- Scalable architecture Handles increasing data volume and usage efficiently.Found in Trieve Vector Inference
How it works, step by step
- Index approved pages, documents and dataset records
- Answer visitor questions with source-linked citations
- Retrieve by vector similarity across large datasets
- Combine text and semantic search for retrieval
- Use a knowledge graph to improve relevance
- Train the assistant on company-specific content and tone
- Generate simplified explanations with follow-up questions
- Deploy hosted chat agents without coding
- Build drag-and-drop walkthroughs without coding
- Track visitor behaviour and engagement in real time
- Support multiple languages for diverse visitors
- Expose APIs, SDKs and widgets for integration
- Tailor the interface to match branding
- Sync source data into the index continuously
- Process batches of queries or records at once
- Hand off to a human agent with the conversation context
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned set of source-linked answers, explanations and walkthroughs 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 answer and explanation 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 answer and explanation 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 build3 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 criteria13 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 repeat support contacts while keeping every answer traceable to a named source. For support and content teams running a public website, help centre or product dataset, convert approved pages, documents and dataset records into source-linked answers, explanations and walkthroughs with a live handoff to staff. The benefit is a testable hypothesis, measured through self-served resolved questions per support hour and escalation rate after an answer; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved pages, documents and dataset records, then follow this sequence: 1. Index approved pages, documents and dataset records. 2. Answer visitor questions with source-linked citations. 3. Retrieve by vector similarity across large datasets. Resolve uncertain cases with qualified reviewers, approve source-linked answers, explanations and walkthroughs, and measure self-served resolved questions per support hour and escalation rate after an answer against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate answers, explanations and walkthroughs 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 supported language pair at pilot; final accuracy and tone checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Content owners approve substantive answers and publication scope. One approved source set and one supported language pair; final accuracy and tone checks remain editorial. 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 supported language pair; final accuracy and tone checks remain editorial. Implement one approved input format, a bounded representative question set and the first two task modules: index approved pages, documents and dataset records; answer visitor questions with source-linked citations. Support the remaining modules with operator review: vector similarity search, hybrid search, knowledge graph, custom training, explanations, no-code agents, drag-and-drop walkthroughs, analytics, multi-language, integrations, branding, syncing, batch processing and live handoff. 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
Customer-owned website pages, help centre articles and permitted dataset records. Cloud storage, content management systems, ticketing and chat 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: Source library and permissions, Assistant and walkthrough builder, Live answer review and handoff. Use a thumbnail gallery for sources and agents, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare answer versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant answer. Make the task-specific outcome source-linked answers, explanations and walkthroughs visible beside its evidence, review state and value baseline.
