Sno Globe: Memorize real users to test your AI before launch

by SkillAiNest

Hi Hunters, I am Sharia, co -founder of Sno Globe (through the Guardial)!

If you have made an AI agent, you know how difficult it is to test them. Even you start developing a test plan for a technology whose input is unlimited?

Most teams fall on a small ‘golden’ datastate, perhaps 50 to 100 hand choosing examples.

It takes many years to come together, and nevertheless, it only covers pleasant paths, which loses the dirty reality of real consumers.

Similarly, you end up with an agent that is perfect in development, but as it meets real -world scenario, fraud, topic, or breaks policies.

🔮 Snoglob has fixed this problem By making a high sincere simulation engine for AI agents to be discussed!
We produce realistic personalities and run them through thousands of fake conversations with your AI agent before going to your production.

Our users are already producing tens of thousands of artificial conversations with snoo globe, which can facilitate handcuffing weeks in the weeks of manual scenario before your users work.

🦾 Why did we make it

Prior to Snogleb, I spent many years making self -driving cars in Apple. The strange thing is, its challenge with LLMS is surprisingly similar to itself -powered cars: when something fails, huge input space, and high stake.

In this world, we used highly sincere fake engines to test cars in the most dangerous and rare scenes.

For example, Vemo traveled 20+ million miles on the real roads, but more than 20+ billion before the launch.

Our goal was easy – bring the same counterfeit mentality for AI agents, which start with AI chat boats.

💅 How are we different

→ We perform a lot of realism and diversity in our created scenarios. This is not the equivalent of telling Chattgat to produce artificial data for you, which then created them by the same chat GPT voice.

→ We are not just a gesture but a full conversation.

→ We are grounded in the context of your agent so that they are related to your use.

Unlike traditional Red Taming Tools, we usually check the user’s behavior as well as edge issues.

→ You can directly export scenarios on 🤗 hug or your favorite Evil & Traising Tool.

This is for whom?

If you are making the discussion AI agent and:

→ You are tested with a small dataset,
→ You want to make a dataset to eliminate your LLM, or

→ You’re spending a lot of time manually making the test set, or

→ You want to run a QA or pantisting before launching, or

You should try the snoo globe.

💸 💸 Snoglobe.so Is alive and ready for use!

The product hint gets the fame Free 25 worth of free fake conversations Code with PH 25 (in addition to free credit worth $ 25 in the beginning).

We have loved a lot of engineering, research and most importantly that the project loved.

We are very excited to see how we can help you test your chat boats better! 🙌 🙌

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