AI app for it and development · no coding needed
Multi-model API routing and billing workspace
Reduce integration and operations work while keeping one owned gateway for model access.
Made for: Product and platform teams shipping AI features who currently stitch together several model providers
What it does for you
The problem
Separate provider integrations, keys, dashboards and billing make model routing, spend and end-user billing hard to control.
What it gives you
Reviewed gateway configuration with consolidated usage and spend reporting
What you give it
Provider credentialsrouting rulesusage recordsbilling requirements
Build your own version of Hopscotch AI, Ghostrun and more
One app with what these 10 AI tools do, yours to keep and change: Hopscotch AI, Ghostrun, AI/ML API, Humaan.ai, Poe API, Oxlo.ai, Genstack, Aiswers.com, Sudo AI, Featherless AI.
Everything these tools do, in one app
- Single API access Lets developers reach many AI models through one API key or endpoint instead of separate integrations.Found in Hopscotch AI, Poe API, Oxlo.ai and 3 more
- Multi-provider model access Provides access to models from multiple providers or a wide range of AI capabilities.Found in Hopscotch AI, Poe API, Oxlo.ai and 2 more
- OpenAI-compatible API Accepts OpenAI-style API requests so existing code can work with minimal changes.Found in Poe API, Oxlo.ai
- Model switching Lets developers change which model handles a request on the fly or per request.Found in Poe API, Oxlo.ai
- Explicit model selection Ensures a request goes to the exact model chosen by the developer, with no hidden routing.Found in Oxlo.ai
- Automatic fallbacks Routes requests to backup models when a primary model fails to maintain uptime.Found in Hopscotch AI
- Model comparison Lets users compare models side by side using their own prompts or calibration tools.Found in Hopscotch AI, Oxlo.ai
- Usage and spend tracking Shows consolidated usage and spending across all models and providers in one dashboard.Found in Hopscotch AI
- Bring-your-own-key Lets users keep direct provider relationships and use their own API keys.Found in Hopscotch AI, Genstack
- Context management Provides managed vector storage, retrieval-augmented generation, and memory for stateful applications.Found in Sudo AI
- End-user billing tools Lets developers bill their own users directly with usage, subscription, or hybrid models.Found in Sudo AI
- AI-native advertising Can inject contextual, policy-controlled ad placements as a revenue option for consumer apps.Found in Sudo AI
- Zero data retention Prompts and responses are not persisted for model training, including at the edge layer.Found in Oxlo.ai
- Customizable model responses Allows tailoring model behavior and prompts to fit specific application needs.Found in Genstack, Featherless AI
- Model marketplace Provides a marketplace for installing and managing AI models like apps.Found in Genstack
- Workflow automation Automates repetitive tasks through customizable workflows.Found in Ghostrun, Featherless AI
- Drag-and-drop builder Lets users create workflows or automations without coding.Found in Ghostrun, Featherless AI
- Third-party integrations Connects with popular external applications and services.Found in Ghostrun, Featherless AI, Humaan.ai
- Real-time monitoring Provides live monitoring and notifications about automation or system performance.Found in Ghostrun, Featherless AI
- Analytics and reporting Delivers dashboards and reports to track performance and engagement.Found in Ghostrun, Humaan.ai, Featherless AI
- AI chatbot Handles common customer inquiries automatically.Found in Humaan.ai
- Sentiment analysis Analyzes customer sentiment to provide actionable insights.Found in Humaan.ai
- Natural language input Lets users ask questions in plain language.Found in Aiswers.com
- Query refinement Allows users to refine questions for more precise answers.Found in Aiswers.com
- Mobile-friendly interface Provides access on multiple devices including mobile.Found in Aiswers.com
How it works, step by step
- Register provider credentials and endpoints
- Expose one API key and endpoint for many models
- Accept OpenAI-compatible requests with minimal code changes
- Select the exact model per request with no hidden routing
- Switch models on the fly per request
- Route to backup models on failure to maintain uptime
- Compare models side by side on the buyer's own prompts
- Track consolidated usage and spend across providers
- Support bring-your-own-key provider relationships
- Provide managed vector storage, retrieval and memory
- Bill end users by usage, subscription or hybrid
- Offer policy-controlled contextual ad placements
- Enforce zero data retention at the edge layer
- Tailor prompts and model behavior per application
- Install and manage models from a marketplace
- Automate repetitive tasks through workflows
- Build workflows with a drag-and-drop editor
- Connect third-party applications and services
- Monitor live performance and send notifications
- Report analytics on performance and engagement
- Answer common inquiries with a chatbot
- Analyze customer sentiment
- Accept plain-language questions
- Refine queries for precise answers
- Provide a mobile-friendly interface
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 Multi-model API routing and billing workspace 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 Multi-model API routing and billing workspace 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 links5 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 data200 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 integration and operations work while keeping one owned gateway for model access. For product and platform teams shipping AI features who currently stitch together several model providers, convert provider credentials, routing rules, usage records and billing requirements into a reviewed gateway configuration with consolidated usage and spend reporting. The benefit is a testable hypothesis, measured through requests served per integration hour and share of spend reconciled to provider invoices; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect provider credentials, routing rules, usage records and billing requirements, then follow this sequence: 1. Register provider credentials and endpoints. 2. Expose one API key and endpoint for many models. 3. Accept OpenAI-compatible requests with minimal code changes. 4. Select the exact model per request with no hidden routing. 5. Route to backup models on failure to maintain uptime. 6. Track consolidated usage and spend across providers. Resolve uncertain cases with qualified reviewers, approve reviewed gateway configuration with consolidated usage and spend reporting, and measure requests served per integration hour and share of spend reconciled to provider invoices 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 fixed provider set and approved model list; final routing, billing and retention decisions remain with the buyer's engineers. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve provider terms, credential security, usage attribution and data retention rules. Buyers approve routing changes and billing scope. One fixed provider set and approved model list; final routing, billing and retention decisions remain with the buyer's engineers. 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 fixed provider set and approved model list; final routing, billing and retention decisions remain with the buyer's engineers. Implement one approved input format, a bounded representative case set and the first two task modules: register provider credentials and endpoints; expose one API key and endpoint for many models. Support the third module with operator review: accept OpenAI-compatible requests with minimal code changes. 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, authorized usage exports and permitted billing systems. Cloud secret storage, CI/CD pipelines and observability 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: Provider and key registry, Routing and fallback rules, Usage and billing console. Use a project list for gateways, a central configuration canvas for routes and fallbacks, and a right-hand panel for model metadata, limits and comments. Let users compare model outputs side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant route. Make the task-specific outcome reviewed gateway configuration with consolidated usage and spend reporting visible beside its evidence, review state and value baseline.
