StepFun Diligence Check tells you what’s credible — and what’s not. By tracing citations to their sources and validating them with a multi-agent system, it helps you cut through doubt and misinformation.
On output quality: Could you share what type of questions you were asking? Your "no different" observation is helpful - it tells us whether the market standard is generally good or if we need better differentiation in specific areas.
Language issue: We've been adjusting this and it should be much more stable now. Please give it another try!
@lakshya_singh Appreciate your support Lakshya! Let's go!
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🚀 Huge congrats on launching StepFun Diligence Check!
The multi-agent AI that traces and validates citations in real time sounds like a major step toward combating misinformation. I’m curious—what rules or logic do your agents use to flag a source as "trusted," and can users customize the sources they trust or weight them differently?
I can see this tool being vital not only for journalists and researchers but also for academic teams and legal professionals who rely on evidence-based reporting. Are there plans to support workflows like collaborative checks or browser extensions for seamless integration into writing tools?
@preksha_shah2 Thank you for your close attention to our product Preksha!
For the first question, we will prioritize sources based on the nature of the website; for example, government websites will have a higher priority than marketing news sites.
You're welcome to provide feedback in the feedback section, either through custom tags in the upvote/downvote options or by filling out the feedback questionnaire.
Your suggestion on the workflow is valuable! We will consider such features in future planning. For now, our priority is to improve the effectiveness of the in-depth verification agents.
Congratulations on the launch. StepFun Diligence Check delivers a timely and much-needed solution for professionals seeking accurate, real-time verification in an age of digital misinformation.
Stepfun Diligence Check
Thank you for the honest feedback!
On output quality: Could you share what type of questions you were asking? Your "no different" observation is helpful - it tells us whether the market standard is generally good or if we need better differentiation in specific areas.
Language issue: We've been adjusting this and it should be much more stable now. Please give it another try!
Thanks for sharing your experience!