FactGuard is an AI-powered fact-checking technology designed to automatically verify AI-generated content against reliable sources worldwide. It falls under the category of real-time content verification tools and targets professionals who rely on AI-generated text for work, such as lawyers, journalists, medical experts, and academics. The core value is preventing AI hallucinations—plausible-sounding but false information—from damaging user credibility and spreading misinformation. By cross-referencing claims against trusted databases like Reuters, BBC, CNN, Snopes, and Politifact, FactGuard ensures every output is backed by verified facts, giving users confidence in their AI-assisted work.
The problem FactGuard solves is the pervasive issue of AI hallucinations, where models generate fabricated details that appear convincing. Studies show that AI outputs often include non-existent citations, false statistics, and unverified claims. This has real-world impact: lawyers have cited imaginary legal cases from ChatGPT, news outlets published AI-generated misinformation, medical advice contained fabricated research, and academic papers included fake citations. Such errors can lead to legal liability, loss of journalistic integrity, health risks, and academic reputational damage. FactGuard addresses this pain point by providing a systematic, automated verification layer that catches inaccuracies before they cause harm.
The first major feature, Global Search, enables real-time web scanning across authoritative sources including Reuters, BBC, CNN, Snopes, and Politifact. When a user provides AI-generated text, FactGuard's system breaks down each claim and cross-references it against this curated set of trusted databases. How it works is through automated queries that fetch current, reliable information. Why it is useful: users no longer need to manually fact-check every statement; instead, they get instant verification against the most credible outlets, ensuring that their content aligns with established facts and reducing the risk of spreading misinformation.
The second major feature, Source Transparency, ensures that every verification finding is accompanied by cited sources. When a claim is flagged or verified, FactGuard provides direct links to the original articles, reports, or fact-check pages used for cross-referencing. This is not just a score; users can click through to see the evidence themselves. Why it matters: it builds trust in the verification process and allows professionals to double-check the AI's reasoning. For lawyers and academics who need verifiable references, Source Transparency turns a black-box check into an auditable trail of evidence.
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The third feature group includes AI-Powered Analysis and confidence scoring. FactGuard's advanced algorithms analyze each claim deeply, assessing its validity based on the context and source consistency. The system outputs a confidence score for every finding, indicating the likelihood that the claim is true. Additionally, FactGuard operates on a pay-per-check credits system: 1 credit = 1 verification, with no subscription required. Users can buy credit packs (50, 150, 500 verifications) or a premium no-ads tier. This flexible pricing suits both occasional users and high-volume professionals.
Overall, FactGuard works through a simple three-step workflow. First, users paste AI-generated text or upload a document into the dashboard. Second, the system automatically breaks down the content into individual claims and cross-references each against global reliable sources. Third, users receive results showing which claims are verified, which are incorrect, and which need further verification—all with source links. The methodology is grounded in real-time web searching, algorithmic claim extraction, and confidence scoring, making the verification process both thorough and rapid.
Concrete use cases include a lawyer checking a brief co-written with an AI to ensure all citations exist and are accurate, avoiding sanctions for fabricated cases. A journalist can verify an article drafted by an AI before publication, preventing the spread of fake news. A medical professional can validate research summaries to avoid referencing fabricated studies. An academic can confirm that every citation in a paper is real and correctly attributed. Outcomes include heightened credibility, reduced liability, and production of trustworthy content that can be shared publicly with confidence.
Target users include legal professionals, journalists, medical researchers, academics, content creators, editors, and any knowledge worker who uses AI writing tools. FactGuard is accessible via web dashboard (with document upload support) and is secured by Midtrans payment gateway for Indonesian users (QRIS, GoPay, OVO, Dana, etc.). Pricing starts at affordable credit packs with no recurring fees. In summary, FactGuard provides an essential safeguard against AI hallucinations, empowering professionals to produce accurate, verifiable content and maintain trust in their fields.
Lawyers, paralegals, and legal professionals who use AI for drafting documents and need to verify citations. Journalists and news editors seeking to prevent AI-generated misinformation. Medical researchers, doctors, and healthcare writers validating AI-produced clinical content. Academics, PhD students, and researchers ensuring citations and data accuracy in AI-assisted papers. Content marketers, copywriters, and bloggers who rely on AI for consistent output and must maintain factual integrity. Editors and publishing professionals in any field reviewing high volumes of AI-generated text for factual correctness.