Brooke Hopkins’ Post

The real speed hack for conversational AI? Evals. Andrew Ng just called it: the no.1 predictor of how fast you ship AI agents isn't your model choice or your tech stack - it's having disciplined evals and error analysis. Here's the problem: Voice and chat agents fail in way more ways than traditional ML. Latency issues. Bad interruption handling. Off-script responses. Workflow breaks. Without proper testing, you're flying blind, discovering bugs in production, and iterating in slow motion. This is where Coval changes the game: 1. Ship faster Stop building eval infrastructure from scratch. We give you audio metrics, LLM judges, workflow verification; everything you need to test comprehensively from day one. Teams go from prototype to production-ready in weeks instead of quarters. 2. Iterate with confidence Simulate hundreds of realistic conversations overnight. Spot regressions instantly. Know exactly what changed and why. No more "let's deploy and see what happens." 3. Turn testing into selling (!) Here's the bonus: your evaluation results become your best sales tool. Share public dashboards showing 95%+ resolution rates. Let prospects see exactly how your agent handles edge cases. Data-driven demos close deals. 4. Keep improving in production Push live calls through the same metrics. Catch issues early. Feed real edge cases back into your test suite. The feedback loop never stops. Bottom line: Teams using Coval ship 3-5x faster because they're not guessing but they're measuring and fixing what matters. Like Andrew says: Focus on systematic evaluation...That's how you win.