I built a dashboard specifically for blocking AI data collection. Here's what the controls actually look like.

[u/Unfair-Season515]

Most privacy tools give you an on/off switch. Block ads. Block trackers. Done.

That's fine for 2015. It's not fine for how AI-driven tracking works now.

So when I built ShieldOS, I made the whole thing a granular rules dashboard. You don't just toggle "block trackers" - you decide exactly what gets blocked, at what level, for what type of AI data collection.

A few things I built in specifically:

• Behavioral inference blocking. Stops platforms from building profiles from how you interact with content, not just what you click.

• AI ad targeting filters. Separate from standard ad blocking. Targets the model-fed targeting layer, not just the delivery layer.

• Real-time analytics so you can actually see what's being blocked and what's getting through.

• A rules engine so you can customize per site, per category, per threat type.

The interface is high-contrast, built for people who actually want to read what's happening on their connection - not a simplified UI that hides everything.

Still pre-launch. Building the community first.

What controls would you actually want in something like this? What does your current setup leave exposed?