AI app for writers · no coding needed
Claim verification and source evidence workbench
Reduce verification time while keeping a defensible evidence trail.
Made for: Writers, editors and research teams who must verify claims before publication
What it does for you
The problem
Claims arrive from drafts, links and AI outputs, and checking them against credible sources is slow, inconsistent and hard to audit.
What it gives you
Reviewer-approved verification reports with source references
What you give it
Submitted claimssource linksAI-generated textlicensed source material
Build your own version of Stepfun Diligence Check, FactSnap and more
One app with what these 10 AI tools do, yours to keep and change: Stepfun Diligence Check, FactSnap, Parafact AI, Verol, Pino - Fact Checker, AVI by True AI, Snopes Factbot, Factiverse plugin for ChatGPT, Factiverse, Springfield Oracle.
Everything these tools do, in one app
- Claim verification Checks the accuracy of a statement or claim against reliable sources.Found in Stepfun Diligence Check, FactSnap, Pino - Fact Checker and 4 more
- Multi-source cross-referencing Compares claims against multiple credible sources to validate information.Found in Stepfun Diligence Check, FactSnap, Pino - Fact Checker and 2 more
- Real-time analysis Provides up-to-date verification using current information rather than outdated data.Found in Stepfun Diligence Check, FactSnap, Pino - Fact Checker and 2 more
- Source exploration Allows users to dive deeper into the sources behind each fact-check for thorough assessment.Found in FactSnap, Pino - Fact Checker, Verol and 2 more
- AI-powered agents Uses AI to identify dubious sources, logical flaws, and missing context in claims.Found in Stepfun Diligence Check, Pino - Fact Checker, Snopes Factbot and 2 more
- Multiple input types Supports verifying various content types such as links, long texts, and AI-generated responses.Found in Stepfun Diligence Check, Pino - Fact Checker, Factiverse
- User-friendly interface Simplifies the fact-checking process with an easy-to-use interface.Found in Stepfun Diligence Check, FactSnap, Pino - Fact Checker and 1 more
- Browser integration Integrates seamlessly into web browsers for convenient fact-checking while browsing.Found in FactSnap, Pino - Fact Checker
- Chat integration Embeds fact-checking directly within chat interfaces like ChatGPT for seamless workflow.Found in Factiverse plugin for ChatGPT, Verol
- Confidence metrics Displays confidence scores when sources cannot fully validate a claim, indicating uncertainty.Found in Verol
- Local data storage Keeps verification history local within the browser to avoid external data tracking.Found in Verol
- Error and bias detection Scans text for mistakes, biases, and subjective language.Found in Factiverse
- Detailed explanation reports Provides clear evidence reports supporting or refuting the information checked.Found in Pino - Fact Checker, Springfield Oracle
- Status tagging Labels entries with clear statuses such as Confirmed, Pending, or Debunked.Found in Springfield Oracle
- Community contributions Allows crowd-sourced additions and moderation to grow and audit the database.Found in Springfield Oracle
- Educational value Serves as an informative resource for users curious about the origins and truth behind claims.Found in Snopes Factbot
- Plagiarism detection Checks for originality of output to ensure content is not copied.Found in Parafact AI
- Paraphrasing engine Rephrases text while preserving original meaning, with multiple rewriting modes.Found in Parafact AI
How it works, step by step
- Accept claims as links, long text or AI-generated responses
- Check each claim against credible sources
- Cross-reference multiple sources to validate or refute
- Retrieve current information for real-time analysis
- Let users explore the sources behind each check
- Flag dubious sources, logical flaws and missing context
- Show confidence scores when sources cannot fully validate a claim
- Scan text for errors, bias and subjective language
- Check originality and flag copied passages
- Rephrase text while preserving meaning, with selectable modes
- Tag entries as Confirmed, Pending or Debunked
- Produce detailed explanation reports with evidence
- Keep verification history local to the browser
- Embed checks in chat interfaces and browser pages
- Allow crowd-sourced additions and moderation
- 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 verification 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 Claim verification and source 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 Claim verification and source 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 links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 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 verification time while keeping a defensible evidence trail. For writers, editors and research teams who must verify claims before publication, convert submitted claims, source links and AI-generated text into reviewer-approved verification reports with source references and confidence notes. The benefit is a testable hypothesis, measured through verified claims per editorial hour and corrections after publication; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect submitted claims, source links and AI-generated text, then follow this sequence: 1. Accept claims as links, long text or AI-generated responses. 2. Check each claim against credible sources. 3. Cross-reference multiple sources to validate or refute. Resolve uncertain cases with qualified reviewers, approve reviewer-approved verification reports with source references, and measure verified claims per editorial hour and corrections after publication 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. One fixed source policy and licensed source set; final editorial and legal checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, quotation accuracy and usage permissions. Editors approve substantive changes and publication scope. One fixed source policy and licensed source set; final editorial and legal 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 fixed source policy and licensed source set; final editorial and legal checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept claims as links, long text or AI-generated responses; check each claim against credible sources. Support the third module with operator review: cross-reference multiple sources to validate or refute. 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
Author-owned drafts, authorized source databases and permitted research sources. Cloud storage, browser extensions, chat interfaces 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: Claim intake and source setup, Verification workspace, Evidence report and delivery. Use a queue of submitted claims, a large central claim view with source excerpts, and a right-hand panel for status, confidence and reviewer comments. Let users compare supporting and refuting sources side by side. Display Confirmed, Pending and Debunked states. Provide a shareable report link with comments anchored to the relevant claim. Make the task-specific outcome reviewer-approved verification reports with source references visible beside its evidence, review state and value baseline.
