Recognizing a scam takes practice. We've built a scam recognition learning tool where people respond to an AI-powered scammer in a safe educational setting. After each exchange, the tool points out the red flags and explains why they matter. It supports our workshops and helps participants build confidence before they face the real thing.
What we're building
Interactive tools that teach scam recognition, digital safety, and online privacy through practice, not just information.
Why we build tools
Try the learning tool
Try the learning tool
The learning tool is available to try online. It is still in active development, so some scenarios or wording may change as we keep improving it with workshop feedback.
Launch learning toolOur tool currently includes six guided practice scenarios based on common scam patterns: a phishing text, a fake CRA phone call, a rental listing and chat, a message from someone offering fake immigration help, a fake tech support alert, and a phishing email.
It's designed for workshops first. A facilitator can project it on a screen and guide the room through the scenario together. For people who want to try it themselves, it also works well on tablets with one-on-one support nearby. The goal is simple: practice responding, see the red flags, and leave knowing what to do in real life.
What's next
We're continuing to improve all six scenarios based on what we learn in workshops. Every session teaches us what feels clear, what needs more explanation, and what people want more practice with.
Next we want to expand into the fraud types that the Canadian Anti-Fraud Centre identifies as causing the most harm. Investment fraud was the #1 category by dollar loss in 2025 ($351 million), followed by relationship fraud ($63 million) and job fraud ($51 million). We also want to cover QR code fraud, gift card payment scams, and recovery pitch scams where fraudsters contact people who've already been victimized. If you have ideas or want to help us build more tools, get in touch.
Contact usSource: Canadian Anti-Fraud Centre, 2026 "Show Me The Fraud" toolkit.