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Hey HN - we're Tarush, Sidhant, and Shashij from Cekura (https://www.cekura.ai). We've been running voice agent simulation for 1.5 years, and recently extended the same infrastructure to chat. Teams use Cekura to simulate real user conversations, stress-test prompts and LLM behavior, and catch regressions before they hit production.The core problem: you can't manually QA an AI agent. When you ship a new prompt, swap a model, or add a tool, how do you know the agent still behaves correctly across the thousands of ways users might interact with it?

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Second, audit your tools on a regular basis. Even platforms that market themselves as bias-reducing need ongoing scrutiny. Training data can carry biases that aren't immediately apparent, and the only way you'll catch them is by actively looking.

If you're feeling stuck or just don't have 10 or more minutes to figure out today's puzzle, we've got all the NYT Strands hints for today's puzzle you need to progress at your preferred pace.

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