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Currai
Find and fix failures in your AI agent conversations.
Agents are taking on real economic work. As runs get longer, mistakes become expensive at best, catastrophic at worst. Today, teams find out from user complaints. Or never. Monitoring tools only catch what you told them to watch for: you set up the judges, you trace the issues yourself. But agents will always fail in ways you didn't predict. That's why we built Currai Currai understands what your agent is supposed to do, so it surfaces failures you didn’t know to look for, automatically.
Hey Product Hunt! I’m Yasser, founder of Currai.
I’ve spent more than six years building software, and recently much of that work has involved LLM-powered products. One problem kept coming up: traditional logs could show that an AI agent completed a conversation, but not whether it understood the user, followed policy, used its tools correctly, or produced the right outcome.
That’s why I built Currai.
Currai analyzes real chat and voice-agent conversations alongside model responses and tool calls. It helps teams:
- Discover recurring user needs and emerging intents
- Detect silent failures, violations, and conversation errors
- Trace problems back to the exact model response or tool call
- Understand why an agent failed using supporting evidence
- Receive alerts in Slack when important issues appear
- Identify improvements based on production conversations
You can connect Currai using its SDK or existing OpenTelemetry instrumentation, then inspect conversations and traces from one dashboard.
Currai is free to try at https://currai.app.
I’d love to hear how you currently monitor your AI agents, what remains difficult to diagnose, and what you’d like Currai to support next.
No comment highlights available yet. Please check back later!
About Currai on Product Hunt
“Find and fix failures in your AI agent conversations.”
Currai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #112 on the daily leaderboard. Agents are taking on real economic work. As runs get longer, mistakes become expensive at best, catastrophic at worst. Today, teams find out from user complaints. Or never. Monitoring tools only catch what you told them to watch for: you set up the judges, you trace the issues yourself. But agents will always fail in ways you didn't predict. That's why we built Currai Currai understands what your agent is supposed to do, so it surfaces failures you didn’t know to look for, automatically.
Currai was featured in Productivity (659.6k followers), Developer Tools (518.5k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 356.3k products, making this a competitive space to launch in.
Who hunted Currai?
Currai was hunted by yssr. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Currai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
yssr