AI app for it and development · no coding needed
Multi-format synthetic content evidence workbench
Reduce review time per case while keeping a traceable evidence record.
Made for: Trust, safety and verification teams reviewing images, audio, video and messages
What it does for you
The problem
Reviewers cannot tell whether submitted images, audio, video or messages were AI-generated or fraudulent, and scattered tools give no traceable evidence.
What it gives you
Reviewer-approved authenticity findings linked to case files
What you give it
Submitted mediaidentity documentsmessage textplatform context
Build your own version of AI or Not, Scam AI and more
One app with what these 5 AI tools do, yours to keep and change: AI or Not, Scam AI, Nuanced, EyePop.ai, AI Voice Detector.
Everything these tools do, in one app
- AI content detection Identifies whether images, audio, video, or messages are AI-generated or fraudulent.Found in AI or Not, Scam AI, Nuanced and 1 more
- Real-time analysis Scans and analyzes content in real time to provide immediate results.Found in Scam AI, EyePop.ai, AI Voice Detector
- Multi-format support Handles multiple content types such as images, audio, video, and text.Found in AI or Not, Scam AI, EyePop.ai and 1 more
- API integration Allows businesses to integrate detection capabilities into their own systems via API.Found in AI or Not, Nuanced
- User-friendly interface Provides an intuitive interface for easy scanning and interpretation of results.Found in AI or Not, Scam AI, EyePop.ai and 1 more
- Regular updates Keeps detection algorithms current with new AI models and scam tactics.Found in AI or Not, Scam AI
- Detailed reports Generates reports highlighting suspicious indicators and risk factors.Found in Scam AI
- Customizable alerts Notifies users of potential threats based on customizable settings.Found in Scam AI
- Privacy-first approach Operates without relying on personally identifiable information to protect user privacy.Found in Nuanced
- No-code platform Enables users to build and deploy AI models without coding through a visual interface.Found in EyePop.ai
- Custom model training Allows users to define targets, upload data, and train custom AI models.Found in EyePop.ai
- Pre-trained models Provides a library of ready-to-use models for common analysis tasks.Found in EyePop.ai
- Deployment flexibility Supports deployment to cloud, edge devices, or workflows for scalable use.Found in EyePop.ai
- Multilanguage support Detects AI-generated voices across various languages and accents.Found in AI Voice Detector
- Noise and music removal Removes background noise and music to improve audio detection accuracy.Found in AI Voice Detector
- Short audio detection Analyzes short audio clips (less than 7 seconds) effectively.Found in AI Voice Detector
- Browser extension Offers a browser extension for convenient access to detection tools.Found in AI Voice Detector
- KYC document verification Verifies identity documents to prevent fraudulent submissions.Found in AI or Not
How it works, step by step
- Detect whether images, audio, video or messages are AI-generated or fraudulent
- Scan submitted content in real time and return immediate provisional results
- Handle multiple content types in one case: images, audio, video and text
- Expose detection capabilities through an API for client systems
- Provide an interface for scanning and interpreting results without specialist training
- Keep detection algorithms current with new generative models and scam tactics
- Generate reports highlighting suspicious indicators and risk factors
- Send customizable alerts when potential threats match configured rules
- Operate without relying on personally identifiable information where possible
- Let users build and deploy detection models through a visual no-code interface
- Let users define targets, upload data and train custom models
- Provide a library of pre-trained models for common analysis tasks
- Support deployment to cloud, edge devices or existing workflows
- Detect AI-generated voices across languages and accents
- Remove background noise and music to improve audio detection accuracy
- Analyze short audio clips of less than seven seconds
- Offer a browser extension for quick checks on web content
- Verify identity documents to prevent fraudulent submissions
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved authenticity findings linked to case files 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 Multi-format synthetic content evidence workbench 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-format synthetic content evidence workbench 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 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 data198 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 review time per case while keeping a traceable evidence record. For trust, safety and verification teams reviewing images, audio, video and messages, convert submitted media, identity documents, message text and platform context into reviewer-approved authenticity findings linked to case files. The benefit is a testable hypothesis, measured through reviewed cases per analyst hour and false-positive rate on held-out cases; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect submitted media, identity documents, message text and platform context, then follow this sequence: 1. Detect whether images, audio, video or messages are AI-generated or fraudulent. 2. Scan submitted content in real time and return immediate provisional results. 3. Handle multiple content types in one case: images, audio, video and text. 4. Generate reports highlighting suspicious indicators and risk factors. 5. Compare the reviewed result with the recorded baseline and value assumptions. Resolve uncertain cases with qualified reviewers, approve reviewer-approved authenticity findings linked to case files, and measure reviewed cases per analyst hour and false-positive rate on held-out cases against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate detection results 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. Detection signals are probabilistic; final fraud and authenticity decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve evidence integrity, source attribution, chain of custody and usage permissions. Reviewers approve substantive findings and case scope. One content type family and one case queue; final fraud and authenticity 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 content type family and one case queue; final fraud and authenticity decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: detect whether images, audio, video or messages are AI-generated or fraudulent; scan submitted content in real time and return immediate provisional results. Support the remaining modules with operator review: handle multiple content types in one case; generate reports highlighting suspicious indicators and risk factors. 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
Client-owned case systems, authorized evidence sources and permitted platform data. Cloud storage, identity document systems and ticketing or case management 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: Case intake and evidence upload, Analysis workspace, Reviewer decision and report. Use a case queue with status filters, a large central viewer for image, audio, video and message evidence, and a right-hand panel for detector results, signals and comments. Let users compare original and processed media side by side. Display pending, escalated and approved states. Provide a client or partner link with findings anchored to the relevant evidence item. Make the task-specific outcome reviewer-approved authenticity findings linked to case files visible beside its evidence, review state and value baseline.
