Show HN: Av9n – Check an AI agents claims against evidence it does not control

Av9n, a new third-party validation tool for AI agents, lets users check an agent's claims against external evidence such as GitHub CI results, addressing the need for independent evaluation of agent performance. The tool, showcased on Hacker News, offers a demo that requires no sign-up and aims to help businesses verify whether their agents are achieving goals like reducing overspending.

After running agents for my own business and trying to figure out how to validate them as well as score them I realized there was not a product that easily helped me evaluate if the agents were helping my business grow or helping me cut overspending. So I took it upon myself to develop a software that helps me verify what my agents said they did. Then I realized other people could use this to score their agents and get proper evaluation from a third party system that takes the information from the user and checks the claims against outside evidence rather than trusting the agents own report. We are the third party validator. Whether you're running a team of agents or just a few for your small business, evaluation is necessary and needs to come from outside of your own sandbox. I made a quick demo option so you can see how it works without a need to sign up. You can even point it at a real github repo and watch it check a claim against the actual CI results. Looking for feedback and knowledge to help me grow this. Thank you Comments URL: https://news.ycombinator.com/item?id=49167560 https://news.ycombinator.com/item?id=49167560 Points: 2 Comments: 0