About

Beat the Scam is a free UK consumer protection site. Learn how guides are researched, who writes them, and how the AI scam checker works.

Beat the Scam is a consumer-protection content site focused on helping UK residents recognise scam patterns before they send money, share credentials, or install malicious software.

Who runs this site

Beat the Scam is founded and edited by Alex Bacsa, an independent UK-based publisher who also runs CloudFintech (fintech & banking technology), Tuning Digital (AI & SaaS productivity tools), and SalesTap (B2B sales). He uses AI tooling to surface scam patterns and translate official UK guidance into plain-English checks.

He is not a journalist, lawyer, regulator, banker, or accredited consumer-affairs professional. This is an educational publication — every recommendation on the site directs you to the official UK authority that owns that decision.

The editorial model is simple: fast checks, plain-English explanations, and practical actions. The site is not a law firm, bank, or regulator. It is a free educational publication designed to reduce avoidable losses.

Editorial focusScam alerts, payment risk, impersonation patterns, delivery fraud, marketplace abuse, crypto scams, and recovery scams.
AudienceUK residents who have received a suspicious message, are considering an unfamiliar purchase, or want to understand current fraud tactics.
How guides are writtenEach guide targets a specific scam type and explains what to verify, what to avoid, and what to do if you have already interacted.
AI scam checkerA free tool that analyses suspicious messages and gives a plain-English verdict with recommended actions.
Commercial modelAdvertising-supported using Google AdSense, with scope for consumer-safety partnerships.

How content is researched and produced

Each guide on this site is drafted using AI assistance against a strict editorial template that forbids inventing statistics, quotes, or specific unverifiable claims, and that standardises the official UK reporting routes (Action Fraud, the NCSC, and Citizens Advice).

The drafting step uses Anthropic’s Claude API. The model is given a structured prompt covering the scam type, target audience, and required sections (what the scam looks like, warning signs, step-by-step pattern, verification, recovery actions, reporting routes). It is explicitly instructed not to invent statistics, predict outcomes, generate fake quotes, or assert specific claims about named companies or people. Before publication, every draft passes an automated accuracy gate: deterministic checks (no hard-coded organisation phone numbers, no defunct or unsafe entities, no unconditional safety guarantees, and reporting routes validated against a verified canon of official UK sources) plus a low-temperature AI fact-checking pass that fails closed on possible fabrication — drafts that fail are held back, never published. The high-stakes claims in each guide are recorded and reviewed on a recurring schedule. If you still spot an error, please report it (see below) and we will correct it promptly.

Verification draws on UK-specific public sources, including:

  • Action Fraud — the UK’s national reporting centre for fraud and cybercrime
  • National Cyber Security Centre (NCSC) — for phishing reporting routes and current threat patterns
  • Citizens Advice — consumer protection guidance and helpline routes
  • FCA Firm Checker — for investment and financial services scams
  • Take Five — UK banking sector consumer fraud campaign
  • Government UK pages for HMRC, DVLA, TV Licensing, and other public bodies commonly impersonated

Editorial standards

Content is written to be understandable under pressure. That means short sections, clear headings, and advice that directs readers towards independent verification through official channels — never through links, numbers, or payment details supplied by a suspicious message.

Where the site recommends a national reporting route — such as Action Fraud, the NCSC, or Citizens Advice — it uses the official published channel. For organisation-specific contact details, always confirm the number or web address against the official website, or the details on your card, bill, or statement, rather than relying solely on any number reproduced in a guide.

If a guide contains an error, email hello@beatthescam.com with the page URL and the issue. Corrections are made promptly.

About the AI scam checker

The free scam checker on this site sends the suspicious message text you paste to Anthropic’s Claude API for analysis. The text is processed in real time to produce a verdict, list of red flags, and recommended actions — then discarded. Beat the Scam does not store the suspicious text you submit, and does not link it to your identity. To keep the free tool available and block abuse, the checker keeps a rate-limit counter keyed to a hashed form of your IP address — used only to enforce per-minute and daily usage limits, and never linked to your submission. As the processor, Anthropic may retain the text you submit and the model’s response for up to 30 days under its standard API data policy (and longer only where required for legal or safety reasons); it does not use API inputs or outputs to train its models.

For your own safety, do not paste full passwords, full bank account numbers, or other sensitive credentials into the checker. The tool is designed to analyse the suspicious content itself (the message, link, or scam pattern), not your private credentials.

The checker’s output is educational. It is not a definitive fraud determination. If you are unsure about a real-world payment or account access decision, contact your bank’s fraud team using the number on the back of your card.

Contact

Editorial contact and correction requests: hello@beatthescam.com

Last reviewed: May 2026. The site is reviewed periodically and updated as scam patterns and reporting routes change.