Agent Simulate lets you simulate and test LLM agents in a sandbox before shipping. Debug behaviors, iterate faster, and reduce production risks with an interactive testbed built for agent developers. Save time with reproducible, automated runs.
We built Agent Simulate because teams relying on AI-powered products struggle to accurately predict how their applications will perform under real-world conditions—especially when handling unpredictable user behaviors and edge cases.
Traditional manual testing is costly, slow, and often misses critical scenarios that impact user experience.
With Agent Simulate, you can:
⚡ Simulate thousands of user interactions in minutes to rapidly uncover and fix hidden issues.
🎭 Easily build realistic user personas (like elderly, distracted, or non-native speakers) to test your AI comprehensively.
🚩 Cover every edge case automatically, ensuring robust and reliable user experiences in production.
📊 Gain deep insights with built-in analytics to continuously measure and optimize your AI’s performance.
What sets us apart is our ability to handle highly specific scenarios effortlessly, empowering your team to catch problems before your users do.
We're excited to hear your feedback and answer any questions you have. Thanks for supporting us today!
Agent Simulate is a game-changer for LLM (Large Language Model) developers. It provides an intuitive sandbox where you can simulate and test your agents before pushing them into production. The ability to debug behaviors and iterate quickly within a controlled environment is invaluable for anyone working with AI agents.
What I love most is the reproducible, automated runs that save tons of time — making testing more efficient and less prone to errors. This app significantly reduces production risks, giving developers the confidence that their agents are performing at their best before release. If you’re serious about developing robust AI agents, Agent Simulate is a must-have tool in your toolkit.
Good job on building this haroon i did not got to explore much i suggest a simpler video, anyhow i am also building in this field of helping people test their app
it is called browsingbee.com we have not completed the mvp yet will get back working on it soon
This is genius. Looks incredibly helpful for scaling agent development. Congrats @haroonc and Team, best of luck for your launch!
Would be nice to see at least a preview of the simulation results before the cardwall! Great UI/UX!
Agent simulation is a powerful tool for modeling complex systems, predicting behaviors, and optimizing outcomes. By simulating agent interactions, researchers and developers can gain valuable insights into real-world dynamics and make more informed decisions.
Would be cool to see the agents that like the product (say the product meets a certain threshold), help with distribution and find real users like themselves.
Are these digital humans truly representative of real interactions, or is it more of a 'best guess' scenario?
This is such a game-changer for anyone working with LLM agents. Having a safe, controlled sandbox to test and iterate is exactly what’s needed to catch edge cases before they hit production. Love how this tackles both debugging and reproducibility—massive time-saver. Big congrats on the launch! 🚀
How many hours have you spent building the product page instead of focusing on this product?
I think this is a pain. Please visit LaunchMuse to make that fast.
This is super timely — simulating edge cases with realistic personas is exactly what’s missing from most AI product testing today. Love how you’ve made it possible to catch issues before they show up in production.
The ability to test “non-standard” user behaviors (like distracted users or those with different cultural contexts) is especially valuable — feels like a big step toward more inclusive, reliable AI.
Excited to try this out. Congrats on the launch! 🚀
What integrations does Agent Simulate offer with existing development workflows or tools?
Your initiative sounds fantastic and addresses a critical need in the AI development space! The ability to simulate diverse user interactions and cover edge cases automatically is truly groundbreaking.
I’m curious, what inspired your team to focus on tackling real-world unpredictability and edge cases in AI-powered products? Was there a particular challenge or experience that led you to create Agent Simulate?
