... issues, and changing usage patterns tend to show up here first. 2. AI Evaluations (Evals) Models improve. Prompts change. Workflows evolve. Evals help teams measure output quality, compare versions, and catch regressions before they become bigger problems. 3. Audit Trails & Traceability When someone asks why an AI-assisted decision was made six months ago, audit trails

... thing I've noticed with AI audit trails is that they tend to do a good job of recording events but not always the reasoning behind them. Take a simple example: An AI-generated report goes through an internal review before being shared with customers or stakeholders. Someone makes edits, approves the final version, and the workflow moves forward. Months later, if you look back, the audit trail

... action already happened. A person could intervene but the system makes it slow and inconvenient. One person monitors a dashboard tracking 40 agents running tasks they do not fully understand. None of that is oversight. It is a paper trail. The problem is not that people are lazy or careless. It is that most agent systems are built for speed first. Oversight gets added later to satisfy a compliance requirement or a nervous investor. The human ... ... shut it down. That was a design choice, not an afterthought. Three questions I want to put to people who actually build or deploy these systems: What does real oversight require? Veto rights? Visibility into the reasoning? Full audit trails

... unsee Comment from Nika(@busmark_w_nika): @anders_wotzke  What have they managed to mess up in your workflow? :D Comment from Nika(@busmark_w_nika): @spunchev  This is an interesting POV  using Hard data usage vs Soft data usage. That could be another topic to discuss, but also finance is hard data... but wouldn't give access to it anyway. Comment from park(@vlad1323): I think we re underestimating how risky this gets in real-time ... ... money, so sorry my dear bot. Comment from Dedy Ariansyah(@dedy_ariansyah): I don t think the problem is giving agents sensitive tasks. The problem is we can t inspect what they actually did. Traditional systems have audit trails

... quick access one-time confirmations low-risk signups testing flows without long-term storage Aliases are optimized for continuity. They make more sense when: password recovery matters users expect long-term access transaction history is important compliance and audit trails are required If your product requires stable identity over time, relying on disposable inboxes for verification may create support issues later. On the other hand, forcing strict verification for low-risk content can increase friction and reduce conversions. In many ...