AI app for it and development · no coding needed
AI usage cost and quality control portal
Reduce unmanaged AI spend and late error discovery while keeping client data separated.
Made for: Software teams and agencies operating AI features for multiple clients
What it does for you
The problem
AI usage, spend and quality are spread across providers and client accounts, so costs and errors are found late.
What it gives you
Reviewed per-client cost and quality reports
What you give it
Provider usage recordsrequest logsclient assignmentsbilling rules
Build your own version of Props AI, Tokyo and more
One app with what these 4 AI tools do, yours to keep and change: Props AI, Tokyo, Velvet, Ultra AI.
Everything these tools do, in one app
- Usage and cost tracking Tracks AI usage and associated costs to help manage expenses.Found in Props AI, Tokyo
- Per-user or per-client breakdown Provides detailed usage and cost data for each individual user or client.Found in Props AI, Tokyo
- Real-time monitoring Monitors AI operations in real time to provide immediate insights.Found in Props AI, Tokyo, Ultra AI
- Performance monitoring Tracks AI response times and efficiency to maintain service quality.Found in Props AI, Tokyo
- Error and issue detection Detects and alerts on errors or issues in AI requests.Found in Props AI
- Billing integration Enables charging users based on usage, requests, or tokens through payment systems.Found in Props AI
- Analytics for pricing Provides detailed analytics to inform pricing strategies and understand economics.Found in Props AI
- Cost reduction via caching Caches semantically similar requests to reduce token consumption and save costs.Found in Props AI
- Interaction logs Keeps comprehensive logs of AI interactions for transparency and auditing.Found in Tokyo
- Multi-client dashboards Consolidates data from multiple clients into unified dashboards.Found in Tokyo
- Security measures Ensures data privacy and protection with strong security.Found in Tokyo
- Easy integration Allows quick setup with minimal code changes.Found in Props AI, Tokyo, Ultra AI
- Multi-provider support Supports multiple AI providers through familiar APIs.Found in Tokyo
- Grammar and style correction Provides real-time grammar and style suggestions to improve text quality.Found in Velvet
- Context-aware content suggestions Offers suggestions to expand or refine ideas based on context.Found in Velvet
- Customizable tone settings Allows adjusting the tone of written content to match different purposes.Found in Velvet
- Multilingual support Provides writing assistance in multiple languages.Found in Velvet
- Automated data analysis Automatically analyzes data and provides real-time insights.Found in Ultra AI
- Customizable AI models Allows tailoring AI models to specific business needs.Found in Ultra AI
- Natural language processing Enables improved communication and customer support through NLP.Found in Ultra AI
- Scalable infrastructure Adapts to growing business demands with scalable resources.Found in Ultra AI
How it works, step by step
- Track AI usage and associated costs
- Break down usage and cost per user or client
- Monitor AI operations in real time
- Track response times and efficiency
- Detect and alert on request errors and issues
- Charge users by usage, requests or tokens through payment systems
- Produce analytics for pricing decisions
- Cache semantically similar requests to reduce token consumption
- Keep comprehensive interaction logs for audit
- Consolidate multiple clients into unified dashboards
- Apply data privacy and protection controls
- Integrate with minimal code changes
- Support multiple AI providers through familiar APIs
- Suggest grammar and style corrections
- Offer context-aware content suggestions
- Adjust tone settings for written content
- Provide writing assistance in multiple languages
- Analyze data automatically and surface real-time insights
- Tailor AI models to specific business needs
- Support customer communication through natural language processing
- Scale resources with growing demand
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed per-client cost and quality report 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 AI usage cost and quality control portal 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 AI usage cost and quality control portal 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 Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria10 KB
- demo/index.htmlThe working demo on sample data197 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 unmanaged AI spend and late error discovery while keeping client data separated. For software teams and agencies operating AI features for multiple clients, convert provider usage records, request logs, client assignments and billing rules into reviewed per-client cost and quality reports. The benefit is a testable hypothesis, measured through cost per accepted client request and error detection time; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect provider usage records, request logs, client assignments and billing rules, then follow this sequence: 1. Track AI usage and associated costs. 2. Break down usage and cost per user or client. 3. Monitor AI operations in real time. 4. Track response times and efficiency. 5. Detect and alert on request errors and issues. Resolve uncertain cases with qualified reviewers, approve reviewed per-client cost and quality reports, and measure cost per accepted client request and error detection time against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs 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. Provider API keys and client data stay under the buyer's control; billing and client-facing claims remain human-approved. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve client data separation, source attribution, log accuracy and usage permissions. Named owners approve billing changes and client-facing claims. One provider and one client group; billing and client-facing claims 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 provider and one client group; billing and client-facing claims remain human-approved. Implement one approved input format, a bounded representative case set and the first five task modules: track AI usage and associated costs; break down usage and cost per user or client; monitor AI operations in real time; track response times and efficiency; detect and alert on request errors and issues. Support the remaining modules with operator review. 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 provider accounts, client applications and payment systems. Cloud log storage, billing import/export and reporting destinations. Start with file exchange and validate destination specifications before promising direct billing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Provider and client setup, Live usage and cost board, Client report and billing export. Use a client list with status, a central dashboard of requests, tokens, cost and latency, and a right-hand panel for alerts, logs and review notes. Let users compare periods and clients side by side. Display draft, reviewed and approved states. Provide a client-facing report link with comments anchored to the relevant metric. Make the task-specific outcome reviewed per-client cost and quality reports visible beside its evidence, review state and value baseline.
