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Soooo.... Citizen Lab found spyware delivered through online ads to Al Jazeera devices, without anyone needing to click.
We've spent years telling people to avoid suspicious links. What happens when the ad itself is the attack? That is terrifying. 😨
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An alerts console for AI agents is such a high-stakes design surface, BEY. Making one incident readable at a glance against all that background noise is exactly where good product design earns its keep.
🎞️ film reel proof
every before/after ad i've ever seen does the same thing. two photos side by side, a little arrow, done. but the part that actually sells it is the stuff in between, the thirty mornings of doing the thing, and nobody ever shows that. so i made a template where the in-between is the whole show. a dull day 1 polaroid gets yanked into a 35mm strip, the days go flying past, it slams on day 30, the flash goes off and the after photo develops right in front of you.
i went looking in svgator's gallery for something like it and there wasn't a single before/after ad in there. so this felt worth filling.
first brand was lumen, a night serum, cluttered shelf to one amber bottle. then i wanted to know if it actually holds up as a template, so i dropped in nook, a little interior studio, cramped grey room to a warm one in 10 days, new palette, new copy, same exact motion. it held.
to make it yours:
→ swap the two photos with replace image
→ retype the copy, it's all live text
→ every layer is named (logo, headline-after, product-image-before, cta-text…) so you're never hunting
→ recolour and you've got a new brand
works for anything that sells a transformation. skincare, fitness, haircare, cleaning, renovations.
how it got made: the whole thing was built through the svgator mcp with claude, every layer and keyframe placed by api call, roughly 170 named layers and 500+ keyframes per brand. the film strip, bottles and rooms are blender renders, the before shots got a dither pass, and the voiceover and sound are elevenlabs. somewhere in there we crashed the editor [software bug], figured out why, and wrote it up for the svgator team lol.
first design challenge i've ever done. had way too much fun.
@SVGatorApp
Stunning
Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io is recorded and anchored to Rekor every minute.
Impressive work! 👏 Excellent approach to AI agent security, tamper-proof audit trails, and human oversight for more trustworthy AI systems.