Everyone is racing towards GPT-5. Meanwhile, you can't even debug GPT-4.
While everyone's obsessed with the latest models, we've been quietly running our Error Localizer for 6 months. It's become the unsung hero for teams shipping GenAI to production.
Most eval platforms tell you what went wrong, or basic error messages or worse, Code-level debugging with metadata. However we help you understand not only the ‘WHAT’ but-
Why- it went wrong
Where- it failed
How- fix it
PLUS, It's not just for text, but voice and vision as well.
I bet if you find a solution so beautiful and comprehensive without getting overwhelming for your devs. Just recently, one of our customers caught a hallucination pattern that would've taken hours to debug manually. The localizer identified it was triggered by a specific JSON schema mismatch in their input validation layer.
The irony? This "old" feature predates most GenAI monitoring tools on the market. Yet it's still the first thing our power users reach for when things go sideways.
Sometimes the best tools aren't the newest ones. They're the ones that just work.
How are you localizing errors in your model input and responses?
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