AI app for customer support · no coding needed
Source-linked conversational support and feedback console
Reduce handling time and lost context while keeping every answer traceable to a source.
Made for: Support and operations teams handling customer conversations, feedback and internal task requests
What it does for you
The problem
Customer conversations, feedback and task requests are spread across several rented tools, so context, follow-ups and evidence are lost between them.
What it gives you
Source-linked replies, follow-up questions and task updates
What you give it
Permitted conversation transcriptsfeedback recordstask dataproduct documentation
Build your own version of apna AI, Voice Agents by Perspective AI and more
One app with what these 3 AI tools do, yours to keep and change: apna AI, Voice Agents by Perspective AI, Super Grok.
Everything these tools do, in one app
- AI-powered conversations Enables users to interact with an AI through natural language conversations.Found in apna AI, Voice Agents by Perspective AI, Super Grok
- Multilingual support Allows users to communicate in multiple languages.Found in Voice Agents by Perspective AI, Super Grok
- Voice input Lets users speak to the AI instead of typing.Found in Voice Agents by Perspective AI, Super Grok
- Customizable prompts Enables users to tailor the AI's responses to specific contexts.Found in Super Grok
- Advanced chat modes Optimizes conversations for different objectives and user preferences.Found in Super Grok
- Chrome extension Integrates the tool into the browser for seamless use.Found in Super Grok
- Automated task management Reduces manual workload by automating task handling.Found in apna AI
- Intelligent data analysis Provides actionable insights from data.Found in apna AI
- Customizable workflows Adapts processes to different business needs.Found in apna AI
- Real-time collaboration Facilitates team efficiency through live collaboration.Found in apna AI
- Integration with productivity tools Connects with common productivity platforms.Found in apna AI
- User-friendly interface Minimizes setup time with an easy-to-use design.Found in apna AI
- Responsive customer support Assists users with inquiries promptly.Found in apna AI
- Tone and hesitation analysis Detects vocal cues like tone, pauses, and hesitation for deeper understanding.Found in Voice Agents by Perspective AI
- Automated follow-up questions Adapts questions based on responses to uncover insights.Found in Voice Agents by Perspective AI
- Briefs and audio clips Generates clear summaries and shareable audio for team collaboration.Found in Voice Agents by Perspective AI
- No participant recruitment Eliminates the need to recruit participants or manually analyze data.Found in Voice Agents by Perspective AI
How it works, step by step
- Hold natural-language conversations with customers and staff
- Reply in multiple languages
- Accept voice input and transcribe it
- Apply customizable prompts per team and context
- Switch chat modes for support, feedback or general chat
- Run inside the browser through an extension
- Create and update tasks from conversations
- Analyze conversation and feedback data for recurring issues
- Adapt workflows per business unit
- Support real-time collaboration on shared conversations
- Connect to productivity tools for tasks and documents
- Provide a simple setup and interface
- Answer customer inquiries with source-linked replies
- Detect tone, pauses and hesitation in voice input
- Generate adaptive follow-up questions
- Produce briefs and shareable audio clips
- Reduce manual participant recruitment and manual analysis
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 conversational support and feedback 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 conversational support and feedback 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 links3 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 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 handling time and lost context while keeping every answer traceable to a source. For support and operations teams handling customer conversations, feedback and internal task requests, convert permitted conversation transcripts, feedback records, task data and product documentation into source-linked replies, follow-up questions and task updates with named-owner approval. The benefit is a testable hypothesis, measured through first-contact resolution rate and reviewer correction time; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted conversation transcripts, feedback records, task data and product documentation, then follow this sequence: 1. Hold natural-language conversations with customers and staff. 2. Reply in multiple languages. 3. Accept voice input and transcribe it. 4. Apply customizable prompts per team and context. 5. Switch chat modes for support, feedback or general chat. 6. Run inside the browser through an extension. 7. Create and update tasks from conversations. 8. Analyze conversation and feedback data for recurring issues. 9. Adapt workflows per business unit. 10. Support real-time collaboration on shared conversations. 11. Connect to productivity tools for tasks and documents. 12. Provide a simple setup and interface. 13. Answer customer inquiries with source-linked replies. 14. Detect tone, pauses and hesitation in voice input. 15. Generate adaptive follow-up questions. 16. Produce briefs and shareable audio clips. 17. Reduce manual participant recruitment and manual analysis. Resolve uncertain cases with qualified reviewers, approve source-linked replies, follow-up questions and task updates, and measure first-contact resolution rate and reviewer correction time against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate replies, follow-up questions and task updates 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 language set and one permitted data scope; final customer-facing replies and task changes remain human-approved. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve customer consent, source attribution, quotation accuracy and usage permissions. Named owners approve substantive replies and task changes. One approved language set and one permitted data scope; final customer-facing replies and task changes remain human-approved. 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 language set and one permitted data scope; final customer-facing replies and task changes remain human-approved. Implement one approved input format, a bounded representative case set and the first two task modules: hold natural-language conversations with customers and staff; reply in multiple languages. Support the remaining modules with operator review: accept voice input and transcribe it; apply customizable prompts per team and context; switch chat modes; run inside the browser through an extension; create and update tasks; analyze conversation and feedback data; adapt workflows; support real-time collaboration; connect to productivity tools; provide a simple setup and interface; answer customer inquiries with source-linked replies; detect tone, pauses and hesitation; generate adaptive follow-up questions; produce briefs and shareable audio clips; reduce manual participant recruitment and manual analysis. 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 conversation records, authorized feedback sources and permitted product documentation. Cloud storage, productivity and task platforms, and support 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: Conversation inbox, Source-linked assistant workspace, Feedback and task board, Admin console. Use a list of open conversations, a large central chat and reply canvas, and a right-hand panel for sources, prompts, tone cues and comments. Let users compare suggested and edited replies side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant message or task. Make the task-specific outcome source-linked replies, follow-up questions and task updates visible beside its evidence, review state and value baseline.
