AI app for customer support · no coding needed
Source-linked conversation agent operations console
Own one console for chatbots, voice agents and autonomous tasks instead of renting several subscriptions.
Made for: Support and revenue teams deploying chatbots and voice agents on their own systems
What it does for you
The problem
Conversation agents are rented from several tools, so data, workflow and brand stay split across vendors.
What it gives you
Source-linked agent replies and completed tasks
What you give it
Approved knowledge sourcessystem connectionsbrand rules
Build your own version of Dante AI, FlowHunt and more
One app with what these 9 AI tools do, yours to keep and change: Dante AI, FlowHunt, Juji, Saleforce Agentforce, WorkGPT, MindStudio, PolyAI, Paka AI, Role Model AI.
Everything these tools do, in one app
- No-code builder Allows users to create AI agents without programming skills using visual interfaces.Found in Dante AI, FlowHunt, Juji and 2 more
- Custom AI chatbots Enables building and deploying tailored chatbots for customer interactions.Found in Dante AI, FlowHunt, Juji and 3 more
- AI voice agents Provides voice-based agents to handle calls and voice interactions.Found in Dante AI, PolyAI, Paka AI and 1 more
- Autonomous AI agents Agents that can perform tasks independently without human intervention.Found in FlowHunt, Saleforce Agentforce, WorkGPT and 1 more
- Train on own data Allows training AI models with proprietary data for personalized responses.Found in Dante AI, FlowHunt, WorkGPT
- Multi-language support Supports multiple languages for global customer interactions.Found in Dante AI, PolyAI
- Multi-channel deployment Deploys agents across various platforms like web, mobile, WhatsApp, Slack.Found in Dante AI, Saleforce Agentforce, Paka AI
- Integration with systems Integrates with existing business systems and platforms.Found in Dante AI, Saleforce Agentforce, PolyAI and 1 more
- Real-time analytics Provides live performance data and insights for optimization.Found in Juji, PolyAI, Paka AI
- Pre-built templates Offers ready-to-use templates for common tasks and workflows.Found in FlowHunt, WorkGPT, MindStudio
- Knowledge sources Connects to documents, websites, and media to keep AI answers relevant.Found in FlowHunt
- Customizable interactions Allows personalization of agent personalities, behaviors, and visuals.Found in Role Model AI, Juji
- Developer tools Provides console and API support for custom deployments.Found in Role Model AI
- Context-aware agents Agents understand the webpage context for tailored responses.Found in MindStudio
- Appointment scheduling Enables scheduling appointments through customer interactions.Found in Paka AI
- Call history and message center Saves call history and provides a message center for follow-ups.Found in Paka AI
- Enterprise security Ensures security and compliance for enterprise deployments.Found in MindStudio, Saleforce Agentforce, PolyAI
How it works, step by step
- Build agents in a no-code visual builder
- Deploy custom chatbots for customer interactions
- Run voice agents for calls and voice interactions
- Let agents complete tasks autonomously within set limits
- Train on the buyer's own documents and transcripts
- Support multiple languages
- Deploy across web, mobile, WhatsApp and Slack
- Integrate with existing business systems
- Show real-time performance analytics
- Start from pre-built templates
- Connect documents, websites and media as knowledge sources
- Customize agent personality, behavior and visuals
- Provide console and API access for developers
- Read webpage context for tailored replies
- Schedule appointments inside conversations
- Keep call history and a message center for follow-ups
- Apply enterprise security and compliance controls
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 conversation agent 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 conversation agent 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 links4 KB
- questions.mdQuestions to answer before you build3 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 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
Own one console for chatbots, voice agents and autonomous tasks instead of renting several subscriptions. For support and revenue teams deploying chatbots and voice agents on their own systems, convert approved knowledge sources, system connections and brand rules into source-linked agent replies and completed tasks. The benefit is a testable hypothesis, measured through resolved conversations per support hour and corrections after agent replies; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved knowledge sources, system connections and brand rules, then follow this sequence: 1. Build agents in a no-code visual builder. 2. Deploy custom chatbots for customer interactions. 3. Run voice agents for calls and voice interactions. Resolve uncertain cases with qualified reviewers, approve source-linked agent replies and completed tasks, and measure resolved conversations per support hour and corrections after agent replies against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate replies and task steps for the stated 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 one deployment channel per pilot; final policy, pricing and escalation decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve customer data rights, source attribution, consent and usage permissions. Named owners approve substantive replies, task actions and escalation scope. One approved knowledge set and one deployment channel per pilot; final policy, pricing 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 knowledge set and one deployment channel per pilot; final policy, pricing and escalation decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: build agents in a no-code visual builder; deploy custom chatbots for customer interactions. Support the third module with operator review: run voice agents for calls and voice interactions. 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, help desks, CRMs and telephony. Cloud storage, messaging channels and scheduling systems. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Agent builder and knowledge sources, Live conversation console, Admin and analytics. Use a thumbnail gallery for agents, a large central canvas for dialogue and task steps, and a right-hand panel for sources, integrations and comments. Let users compare agent versions side by side. Display draft, in review and live states. Provide a client preview link with comments anchored to the relevant reply or call. Make the task-specific outcome source-linked agent replies and completed tasks visible beside its evidence, review state and value baseline.
