Tunhan Faruk Savranoğlu's profile on Product Hunt

About

Xorviex is an orchestration platform that lets enterprise teams put AI agents into production with confidence. Most AI agent solutions either can't guarantee safety or let costs spiral out of control. Xorviex solves both. How it works: Builder and tester agent pairs work in tandem — one writes code, the other tests it in real time Every agent runs in an isolated sandbox with enforced resource limits Model-tier routing automatically matches task complexity to the most cost-effective model Native integrations with Slack, GitHub, Notion, and Google Workspace Command Chat lets you assign tasks in plain language, with approval checkpoints built in

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7h ago

How do you know when an AI agent is ready for production?

One question I've been thinking about is when an AI agent is actually "ready" for production.

Traditional software often has clear testing processes, but AI agents introduce a different level of uncertainty. They rely on reasoning, external tools, changing context, and non-deterministic outputs, making it difficult to define a clear launch criterion.

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7h ago

How do you evaluate AI agents before trusting them with real users?

Building an AI agent is one thing, but deciding when it's actually ready for real users is much harder.

Unlike traditional software, an AI agent can perform perfectly in testing and still behave unexpectedly when it encounters new situations in production.

I'm curious how other teams approach evaluation before deployment.

Do you rely on benchmark tasks, automated evaluations, human reviewers, simulated user interactions, or something else?

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16h ago

How do you monitor AI agents once they're in production?

Shipping an AI agent is only the beginning. Once it's being used by real users, monitoring becomes just as important as development.

Traditional software monitoring focuses on uptime, latency, and errors, but AI agents introduce additional questions. Are they making good decisions? Are tool calls succeeding? Are they completing tasks efficiently? Are they getting stuck or behaving inconsistently?