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Quick Reference: Cyber Safety

A One-Page Guide to Spotting and Stopping Scams

Scammers don't need to out-tech anyone — they just need a moment of panic before someone stops to think. A caller claiming to be a grandchild in trouble. A pop-up warning that a computer is infected. A "government agent" demanding payment in gift cards. The tactics aren't new, but AI has made the voices and videos behind them far more convincing.

This quick reference puts two decades of security practice onto a single page: the habits that prevent a scam, the patterns that reveal one already underway, and exactly what to do if it's too late to stop it.

Meant to be kept by the phone or the computer, it covers:

  • The core habits that stop most scams before they start
  • The five scams most often used to target seniors, and how to recognize each one
  • What to watch for as AI makes fake voices and videos harder to spot
  • A calm, step-by-step action plan for the hours after a scam, plus vetted numbers to call for help

Whether it's for yourself or a parent you're looking out for, this is the sheet worth keeping close.

Whitepaper: Building Real Software, Part-Time, with AI

A Secure AI Development Case Study

What happens when an experienced security practitioner builds a real, multi-tenant production platform—complete with six-role RBAC, Stripe subscriptions, TOTP 2FA, a three-environment CI/CD pipeline, and a full security review—working fewer than fifteen hours a week?

In eight months, Be Formed went from blank repository to launch-ready for a Catholic diocese serving ~1,800 users across 30 parishes.

This whitepaper is not another “AI wrote my app” story. It is a detailed, honest look at:

  • The actual architecture, security model, testing strategy, and deployment discipline used
  • Where AI genuinely compressed the work (and where it still required expert judgment)
  • Why experienced practitioners get dramatically more out of these tools than beginners
  • The real productivity numbers, the security findings that surfaced, and the deliberate decisions not to build

If you lead technical work, advise clients, or are trying to understand what “AI-assisted development” actually looks like when the stakes are real, this is the case study worth your time.

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