AI app for it and development · no coding needed
Multimodal model routing and review console
Reduce the number of rented model tools and disconnected integrations while keeping one reviewable record of every model call.
Made for: Product and platform teams building AI features who need several model capabilities under one owned interface
What it does for you
The problem
Teams rent several model subscriptions and stitch together text, image, audio, video and code calls without one place to route, review or account for them.
What it gives you
Source-linked model outputs with routing and cost records
What you give it
Permitted textimageaudiovideocode inputsmodellicense recordsrouting rulescost limits
Build your own version of Google Gemini 2.0, Gemini and more
One app with what these 10 AI tools do, yours to keep and change: Google Gemini 2.0, Gemini, Gemma 3, Llama 4, Grok 3 API, Gemini 2.5 Flash, Amazon Nova, Gemini 2.5 Flash-Lite, Mistral small 3.1, Gemini 1.5 Flash.
Everything these tools do, in one app
- Multimodal input processing Accepts and understands multiple content types such as text, images, audio, video, and code in one model.Found in Google Gemini 2.0, Gemini, Llama 4 and 5 more
- Natural language understanding Generates coherent, context-aware text and handles nuanced language interactions.Found in Google Gemini 2.0, Gemma 3
- Long context window Processes very large inputs, from 128K up to 10 million tokens, for complex analyses.Found in Llama 4, Grok 3 API, Gemini 2.5 Flash and 3 more
- Advanced reasoning Performs sophisticated reasoning to support complex tasks and improve output quality.Found in Grok 3 API, Gemini 2.5 Flash
- Fast inference speed Delivers quick responses and low latency for real-time and high-volume applications.Found in Gemini 2.5 Flash, Amazon Nova, Gemini 2.5 Flash-Lite and 2 more
- Cost-efficient operation Reduces deployment costs for large-scale or high-frequency usage.Found in Amazon Nova, Gemini 2.5 Flash-Lite, Gemini 1.5 Flash
- Multiple model variants Offers different model sizes or tiers to balance performance, speed, and cost.Found in Llama 4, Grok 3 API, Amazon Nova
- Developer API Provides an easy-to-integrate API for building applications and services.Found in Grok 3 API
- Third-party integrations Connects with popular external applications and platforms to extend functionality.Found in Google Gemini 2.0, Gemma 3
- Cloud platform access Available through leading AI cloud platforms for simplified deployment.Found in Gemini, Gemini 2.5 Flash
- Real-time collaboration Allows multiple users to work together on projects simultaneously.Found in Google Gemini 2.0, Gemma 3
- Customizable workflows Adapts to different user needs and industries with configurable processes.Found in Google Gemini 2.0
- Data analysis tools Extracts insights from large datasets without requiring extensive technical knowledge.Found in Gemma 3
- Customizable templates Speeds up content creation across various formats with pre-made templates.Found in Gemma 3
- Mixture-of-experts architecture Uses specialized expert modules to boost performance and efficiency.Found in Llama 4
- Controllable thinking budget Lets developers adjust how much the model reasons, balancing cost, latency, and quality.Found in Gemini 2.5 Flash
- Creative content generation Specialized models generate images and videos for visual projects.Found in Amazon Nova
- Wide language support Works with over 200 languages for global applications.Found in Amazon Nova
- Open-source license Allows broad usability, modification, and integration under an open license.Found in Mistral small 3.1
How it works, step by step
- Accept text, image, audio, video and code inputs in one request
- Generate context-aware text and handle nuanced language interactions
- Process long inputs across the configured context window
- Apply advanced reasoning for complex tasks
- Return fast responses for real-time and high-volume use
- Track cost per request and per project
- Route requests across model variants by performance, speed and cost
- Expose a developer API for application integration
- Connect permitted external applications and platforms
- Run through the buyer's chosen cloud platform
- Support multiple named users on shared projects
- Configure workflows per team and industry
- Extract insights from permitted datasets
- Apply templates for recurring content formats
- Use mixture-of-experts routing where configured
- Set a controllable thinking budget per request
- Generate images and video for visual projects
- Support wide language coverage for global applications
- Record license and usage terms for each model and asset
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned source-linked model output record 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 Multimodal model routing and review 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 Multimodal model routing and review 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 links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare28 KB
- prompt-vps.mdThe same build on your own server (Docker)28 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria15 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
Reduce the number of rented model tools and disconnected integrations while keeping one reviewable record of every model call. For product and platform teams building AI features, convert permitted text, image, audio, video and code inputs into source-linked model outputs with routing rules, cost and latency records and named-owner approval. The benefit is a testable hypothesis, measured through accepted model outputs per developer hour and correction or re-run rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted text, image, audio, video and code inputs, model and license records, routing rules and cost limits, then follow this sequence: 1. Accept text, image, audio, video and code inputs in one request. 2. Route requests across model variants by performance, speed and cost. 3. Generate context-aware text and handle nuanced language interactions. 4. Apply advanced reasoning for complex tasks. 5. Track cost per request and per project. Resolve uncertain cases with qualified reviewers, approve source-linked model outputs with routing and cost records, and measure accepted model outputs per developer hour and correction or re-run rate 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, routing rules and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved model set and permitted data sources; final code, content and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, license terms, code provenance and usage permissions. Named owners approve substantive changes and deployment scope. One approved model set and permitted data sources; final code, content and compliance checks 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 model set and permitted data sources; final code, content and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept text, image, audio, video and code inputs in one request; route requests across model variants by performance, speed and cost. Support the third module with operator review: generate context-aware text and handle nuanced language 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 repositories, permitted datasets and authorized content sources. Cloud model platforms, design-file import/export, code repositories and publishing 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: Model and route configuration, Source-linked assistant workspace, Administrator console. Use a project list, a central request and response panel, and a right-hand panel for sources, routing rules, cost and review state. Let users compare model variants side by side. Display draft, changes requested and approved states. Provide a shared review link with comments anchored to the relevant request. Make the task-specific outcome source-linked model outputs with routing and cost records visible beside its evidence, review state and value baseline.
