Snowglobe is praised for its ability to simulate real-world user behavior, allowing LLM teams to identify and address edge cases before launch. Users highlight its intuitive design and engaging experience, noting the tool's capacity to make testing workflows smoother and more reliable. The attention to detail and creativity in its execution leave a lasting impression, making it a valuable asset for designers and innovators. Overall, Snowglobe is seen as an essential tool for enhancing creativity and ensuring safer production rollouts.
Strong positioning! Simulating real users pre-launch is a big gap in AI QA/security workflows.
The PQL would be - create first scenario → run first simulation job → review results in dashboard, right?
If you build out usage-based plans, I have a couple of suggestions if you don't mind;
• Run 1–2 shadow-billing cycles before go-live so sim job counts and minutes align with what customers expect to see on invoices.
• Add a gentle in-app meter with 50/80/100% alerts and a one-click ‘lock spend’—protects trust while encouraging healthy upgrades.
Let me know what you think!
I found Snowglobe really helpful for testing my AI project. The simulated user interactions felt real, and it helped me improve my product before launch. Highly recommended!
Congrats @shreya_rajpal and team!!!
This is great, and congrats on the launch! Curious, do you have any plans to offer functionality for testing other AI apps/platforms outside of chatbots in the future? Our team is building a dynamic AI-generated roadmap for new business owners and have been looking for more tools to test out the variety of different prompts.
unique product
That’s a smart idea, simulating real users before launch can really help avoid problems later.
Very good idea. I'll give it a try for sure. Wish you all the best here!