Flight-testing AI agents before they crash.
We’ve all seen shiny AI demos that crumble the moment they touch messy, real-world workflows.
Salesforce is proposing a “flight simulator” for AI agents so teams can rehearse ugly reality before go-live.
Apparently, 95% of enterprise gen-AI pilots never make it to production—no wonder leaders want a safer runway.
What I like here is the focus on business-grade evaluation: not just accuracy, but cost, speed, trust/safety and even sustainability.
That last one matters: scaling without efficiency is just an expensive lab experiment.
My rule of thumb: simulate the tedious bits—permissions, flaky IDs, edge-case data—because that’s where roll-outs die.
If this kind of benchmarking becomes normal, we might finally ship agents that survive first contact with customers.
Curious: what would you stress-test first—data quality, tool access, or failure recovery? 👇