AI app for customer support · no coding needed
Source-linked support chat and automation console
Reduce tool switching while keeping answers source-linked and reviewed.
Made for: Support and operations teams handling chat, repetitive tasks and staff encouragement
What it does for you
The problem
Support chat, task automation and motivational messaging sit in separate rented tools, so data and workflows stay split.
What it gives you
Reviewed assistant replies and workflow runs
What you give it
Approved knowledge sourcesworkflow rulesbrand voiceescalation policies
Build your own version of Dippy Widget - AI Character Chat, Unitor.ai and more
One app with what these 4 AI tools do, yours to keep and change: Dippy Widget - AI Character Chat, Unitor.ai, Cheerleader AI, Dot by New Computer.
Everything these tools do, in one app
- User-friendly interface Provides an easy-to-use interface that simplifies interaction and management.Found in Dippy Widget - AI Character Chat, Unitor.ai, Cheerleader AI and 1 more
- Customizable AI personalities Allows users to create and adjust distinct AI characters with unique personalities and conversation styles.Found in Dippy Widget - AI Character Chat
- Website widget embedding Enables quick integration of the chat tool into websites via embeddable widgets.Found in Dippy Widget - AI Character Chat
- Real-time natural language processing Processes user input in real time to enable smooth and coherent conversations.Found in Dippy Widget - AI Character Chat
- Multi-language support Supports multiple languages to reach a diverse audience.Found in Dippy Widget - AI Character Chat
- Analytics dashboard Monitors user engagement, conversation trends, and automation performance to identify bottlenecks.Found in Dippy Widget - AI Character Chat, Unitor.ai
- Business application integration Connects with a wide range of business applications and services for seamless data flow.Found in Unitor.ai
- Visual workflow builder Enables drag-and-drop automation setup for creating workflows without coding.Found in Unitor.ai
- Real-time data synchronization Synchronizes data across different platforms in real time.Found in Unitor.ai
- Customizable triggers and actions Allows tailoring of workflows with specific triggers and actions to meet particular needs.Found in Unitor.ai
- Daily motivational messages Delivers tailored daily messages to encourage and uplift users.Found in Cheerleader AI
- Interactive AI cheerleading Provides an interactive AI-driven cheerleading experience that responds to user inputs.Found in Cheerleader AI
- Emotional well-being focus Uses positive reinforcement techniques to support emotional well-being.Found in Cheerleader AI
- Automated task management Helps schedule and execute repetitive actions automatically.Found in Dot by New Computer
- Context-aware suggestions Provides suggestions to assist with document creation, data entry, and other workflows.Found in Dot by New Computer
- Productivity tool integration Integrates with common software tools to enhance productivity without switching platforms.Found in Dot by New Computer
- Customizable automation settings Allows users to tailor automation rules to specific needs.Found in Dot by New Computer
- Regular updates Receives regular updates that introduce new features and improve stability based on user feedback.Found in Unitor.ai, Cheerleader AI
How it works, step by step
- Provide an easy-to-use interface for interaction and management
- Create and adjust distinct AI personalities and conversation styles
- Embed the assistant into websites via widgets
- Process user input in real time for coherent conversations
- Support multiple languages for diverse audiences
- Monitor engagement, conversation trends and automation performance
- Connect with business applications for data flow
- Build workflows with drag-and-drop setup
- Synchronize data across platforms in real time
- Tailor workflows with specific triggers and actions
- Deliver tailored daily motivational messages
- Provide interactive AI cheerleading that responds to user inputs
- Apply positive reinforcement for emotional well-being
- Schedule and execute repetitive actions automatically
- Offer context-aware suggestions for documents and data entry
- Integrate with common productivity tools
- Tailor automation rules to specific needs
- Receive regular updates based on user feedback
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed assistant replies and workflow runs 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 chat and automation 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 chat and automation 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 build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 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 tool switching while keeping answers source-linked and reviewed. For support and operations teams handling chat, repetitive tasks and staff encouragement, convert approved knowledge sources, workflow rules, brand voice and escalation policies into a reviewed assistant and administrator console. The benefit is a testable hypothesis, measured through resolved conversations per support hour and automation steps completed without correction; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved knowledge sources, workflow rules, brand voice and escalation policies, then follow this sequence: 1. Provide an easy-to-use interface for interaction and management. 2. Create and adjust distinct AI personalities and conversation styles. 3. Embed the assistant into websites via widgets. Resolve uncertain cases with qualified reviewers, approve reviewed assistant replies and workflow runs, and measure resolved conversations per support hour and automation steps completed without correction against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 knowledge set and brand voice; final escalation and sensitive replies remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes and external actions. One approved knowledge set and brand voice; final escalation and sensitive replies 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 knowledge set and brand voice; final escalation and sensitive replies remain human. Implement one approved input format, a bounded representative case set and the first two task modules: provide an easy-to-use interface for interaction and management; create and adjust distinct AI personalities and conversation styles. Support the third module with operator review: embed the assistant into websites via widgets. 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 knowledge bases, helpdesk and productivity tools. Cloud storage, website widgets 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 and voice setup, Assistant and workflow console, Review and delivery. Use a thumbnail gallery for assistants and workflows, a large central conversation and workflow canvas, and a right-hand panel for sources, rules and comments. Let users compare assistant replies and workflow versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant reply or step. Make the task-specific outcome reviewed assistant replies and workflow runs visible beside its evidence, review state and value baseline.
