AI app for customer support · no coding needed
Source-linked support assistant and admin console
Reduce repeated customer questions and manual data tasks while keeping a human backup for uncertain cases.
Made for: Support leads and operations managers running multi-channel customer service
What it does for you
The problem
Customer queries arrive across chat, email and social channels, and teams rent separate tools for AI answers, human escalation, agent building and analytics.
What it gives you
Source-linked answers, escalations and reports
What you give it
Approved help contentpast ticketsCRM recordschannel messages
Build your own version of agent.ai, Konfide and more
One app with what these 4 AI tools do, yours to keep and change: agent.ai, Konfide, Internet.io, Colossal.
Everything these tools do, in one app
- Natural language understanding Interprets customer queries accurately using advanced NLP.Found in agent.ai
- Multi-channel support Handles interactions across chat, email, and social media platforms.Found in agent.ai
- Customizable workflows Allows users to automate repetitive tasks with tailored workflows.Found in agent.ai, Colossal
- Analytics dashboard Provides insights into customer interactions and agent performance.Found in agent.ai
- CRM and helpdesk integration Seamlessly integrates with popular CRM and helpdesk software.Found in agent.ai
- Human-backed agents Every AI agent can be supported by verified human experts who are bookable and earn a share of revenue.Found in Konfide
- No-code agent builder Lets creators publish agents without writing code or managing infrastructure.Found in Konfide
- Contextual escalation and handoff Transfers session context to a human expert so users don't need to repeat details.Found in Konfide
- Integrated payments and payouts Manages subscriptions and pay-per-session flows with platform-managed payouts to experts.Found in Konfide
- Governance and giving Allocates a portion of platform revenue to independent AI safety research and lets subscribers direct those funds.Found in Konfide
- Multi-AI answer aggregation Receives responses from multiple top AI engines simultaneously to compare and find the most accurate answers.Found in Internet.io
- Low-code agent builder Creates custom AI agents using an intuitive drag-and-drop interface without heavy programming knowledge.Found in Internet.io
- Agent store Shares and explores AI agents created by the community, fostering collaboration and innovation.Found in Internet.io
- Future monetization Upcoming features will allow users to monetize their custom agents, opening opportunities for creators.Found in Internet.io
- Free beta access Provides full access to features at no cost during the beta phase.Found in Internet.io
- High-performance data processing Handles massive datasets quickly with a high-performance engine.Found in Colossal
- Visual analytics tools Creates detailed charts and reports for data analysis.Found in Colossal
- Data source integration Integrates with popular data sources and platforms for seamless data import/export.Found in Colossal
- Collaborative environment Enables team members to work together in real time.Found in Colossal
How it works, step by step
- Interpret customer queries using natural language understanding
- Handle chat, email and social messages in one queue
- Build tailored automation workflows without code
- Show interaction and agent performance analytics
- Sync with CRM and helpdesk records
- Route uncertain cases to verified human experts
- Publish agents through a no-code builder
- Hand off session context so customers do not repeat details
- Manage subscriptions and expert payouts
- Allocate a disclosed share of revenue to AI safety research
- Compare answers from multiple AI engines side by side
- Create agents with a drag-and-drop builder
- Share and discover agents in a permissioned store
- Support future creator monetization
- Process large ticket and message datasets quickly
- Produce charts and reports for support analysis
- Import and export from approved data sources
- Let team members work in the same workspace in real time
- Capture corrections and named-owner approval before consequential use
- Export a versioned source-linked answer set with 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 assistant and admin 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 assistant and admin 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 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 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 repeated customer questions and manual data tasks while keeping a human backup for uncertain cases. For support leads and operations managers running multi-channel customer service, convert approved help content, past tickets, CRM records and channel messages into source-linked answers, escalations and reports. The benefit is a testable hypothesis, measured through resolved tickets per support hour and repeat contacts per issue; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect approved help content, past tickets, CRM records and channel messages, then follow this sequence: 1. Interpret customer queries using natural language understanding. 2. Handle chat, email and social messages in one queue. 3. Build tailored automation workflows without code. 4. Show interaction and agent performance analytics. 5. Sync with CRM and helpdesk records. 6. Route uncertain cases to verified human experts. Resolve uncertain cases with qualified reviewers, approve source-linked answers, escalations and reports, and measure resolved tickets per support hour and repeat contacts per issue 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 help corpus and channel set; final policy, refund and account decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve customer privacy, source attribution, answer accuracy and usage permissions. Support leads approve substantive changes and external actions. One approved help corpus and channel set; final policy, refund and account 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 help corpus and channel set; final policy, refund and account decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: interpret customer queries using natural language understanding; handle chat, email and social messages in one queue. Support the third module with operator review: build tailored automation workflows without code. 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 help content, authorized ticket exports and permitted CRM sources. Cloud storage, helpdesk import/export and channel 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: Assistant console, Agent builder, Analytics and admin. Use a queue view for open conversations, a large central thread with source citations, and a right-hand panel for customer context, escalation and review state. Let users compare multi-model answers side by side. Display draft, escalated, resolved and approved states. Provide a client-facing chat widget with a handoff link. Make the task-specific outcome source-linked answers, escalations and reports visible beside its evidence, review state and value baseline.
