Over the last few weeks I’ve been asking a lot of questions here about AI decisions, auditability, and what happens when autonomous systems start affecting real outcomes. The responses across AI and cyber communities were honestly better than I expected and confirmed something for me: Most teams can log what AI does internally. Very few can produce defensible proof of what actually happened if something is challenged later. So I built an early beta to explore that properly. It creates a verifiable record of AI actions — inputs, outputs, tool calls, decisions — and generates an exportable evidence pack of a run that can be shared if you ever need to prove what happened. This isn’t a polished launch. It’s very much early beta (there’s literally a yellow beta warning inside the product). But I’m opening it to around 15–20 serious builders who are already deploying AI and want to pressure test the idea and give honest feedback. Short 60-second walkthrough: https://youtu.be/y0y30uMLYkk https://www.getsharesafe.com/ https://vercel.com/ Not trying to sell anything. Just want thoughtful feedback from people actually building in this space. If you’re actively running AI systems and this problem resonates, happy to give access. submitted by /u/National-Nail-6502
Originally posted by u/National-Nail-6502 on r/ArtificialInteligence