The Debugger for broken AI outputs

Find what's wrong with your AI. Fix it in seconds.

AI does not need to be a black box. Stop losing sleep over hallucinations, unexpected cost spikes and safety violations.

No credit card required · Quick setup in under 2 minutes

Get started for free See how it works

noryen.com/dashboard

Total Requests

842

+16.9%

Avg Latency

412ms

-5.9%

Total Cost

$6.90

+5.3%

Avg Score

7.4/10

+4.2%

Recent activity


4.2	Summarize the lab result and suggest next steps for the patient.	GPT 4o	in about 12 hours
8.9	Translate to French: Good morning team.	GPT 4o Mini	in about 12 hours
7.6	Draft a short changelog entry for a bugfix release.	Claude 3 5 Haiku 20241022	in about 11 hours

AI output can be random, hard to trust and painful to debug.

Noryen turns that confusion into a clear debugging workflow. You see the trace, understand what went wrong, refine it with the exact prompt and system instructions and fix it fast.

Hallucinations
Why did the model invent facts or skip grounding?
Cost spikes
Why did usage or spend jump overnight?
Safety & policy
Is this response unsafe in production?
Weird answers
Why did tone, format or reasoning go off the rails?

Debug your AI outputs in 3 steps

From blind guessing to production-grade fixes: see it, explain it, refine it.

1 See·2 Explain·3 Refine


4.2	Summarize the lab result and suggest next steps for the patient.	GPT 4o	in about 12 hours
8.9	Translate to French: Good morning team.	GPT 4o Mini	in about 12 hours
7.6	Draft a short changelog entry for a bugfix release.	Claude 3 5 Haiku 20241022	in about 11 hours
6.1	Classify this support ticket sentiment.	GPT 4o	in about 9 hours
8.2	JSON schema for a user profile with email and roles.	GPT 4o Mini	in about 8 hours
0.0	Call the refunds API with order id 9912.	GPT 4o	in about 6 hours

Select a row to open the trace panel — start with the highlighted low-score request.

Pick a trace from the table to see scores, prompts, and the refine flow.

Not governance. Not observability.

Noryen's value is not just collecting data - it's helping you answer one question fast: why is this response wrong and how do I fix it?

Area	Before	With Noryen
Visibility	Digging through raw JSON logs	Trace list with latency, cost, score, and metadata
Debugging	Copy-pasting prompts into ChatGPT	One-click Replay with the exact prompt and system text
Analysis	“I hope it doesn’t hallucinate”	Explain this response flags risks and failure points
Mindset	“AI governance / observability suite”	“Why is this wrong, and how do I fix it?”