Snowglobe is a simulation environment for LLM teams to test how their applications respond to real-world user behavior. Run full workflows through realistic scenarios, catch edge cases early, and confidently improve before deploying to production.
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Wow, Snowglobe looks like a game-changer for LLM testing! I'm super excited to try it out and simulate real-world user scenarios to catch those pesky edge cases before launch. This could save so much time and boost confidence in our deployments. Can't wait to dive in!
Congrats @shreya_rajpal and team!!!
Congrats on the launch — Snowglobe's persona-first approach sounds promising! I like that you simulate full conversations rather than one-off prompts. Curious: how are personas generated and controlled — pure model-generated, human-curated templates, or can teams upload their own user profiles to match specific demographics/behaviors? Would love to know how editable and diverse the persona corpus is. 🤔
@jaredl Hi Jared! Personas are totally model-generated, but we guide their generation using all the information you give us, including a description of what your bot does, what your knowledge base looks like, and historical chat data. You have some control over personas and messages via a "Simulation prompt" you can run on every step.
We aim to create personas that are diverse, yet realistic by paying special attention to things like styles, use cases, and goals.
Congrats on the launch 🚀🚀
No way—this is exactly what I needed! Simulating real users before launch could save me so many debugging headaches. Does Snowglobe also handle edge-case scenarios? Super impressed with this idea!
@joey_zhu_seopage_ai that's amazing!
Re: edge cases - we do generate new edge cases. We do this by mining your existing data to understand how your interact with your product (topics, flows, etc.) and generate new conversational scenarios that are different from your historical data.
Excited for you to try it!
Having built multiple AI products, this is NEEDED. Congrats Shreya and team on the launch!
Love the focus on realistic persona modeling—definitely a game-changer for testing. Curious if you've explored multilingual persona generation yet? For teams building global chatbots, that could be a killer feature to catch cultural nuances early. Also, how customizable are the personas—can we tweak things like verbosity or slang?