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PolinaKr
Community Manager
Aug 12, 2025 7:37 AM UTC
QA Answers Hub

When AI tests fail

When AI tests fail

Hi ShiftSyncers đź‘‹

You ask fantastic questions during webinar Q&A sessions, and we realized the answers are helpful to the entire community. 

From now on, we’ll be sharing some of these Q&A snapshots here so everyone can benefit.

Today’s question is:

When AI tests fail, what debugging approaches do you recommend? How can we determine if the issue is with the test itself, the model, or the data?


Watch the full webinar here

4 replies

Bharat2609
Ensign
Aug 12, 2025 10:00 AM UTC

Thanks you ​@PolinaKr  for bringing my Question and thanks to ​@executeautomation  Karthik for reply in very gently way.

 

I am happy to be part of this community

Bharat
Ramanan
Ace Pilot
Aug 12, 2025 10:57 AM UTC

Hi ShiftSyncers đź‘‹

You ask fantastic questions during webinar Q&A sessions, and we realized the answers are helpful to the entire community. 

From now on, we’ll be sharing some of these Q&A snapshots here so everyone can benefit.

Today’s question is:

When AI tests fail, what debugging approaches do you recommend? How can we determine if the issue is with the test itself, the model, or the data?


Watch the full webinar here

 

Perfect Session by ​@executeautomation ,

Kudos to the team ​@PolinaKr 

 

Thanks,

Ramanan 

Hunt the bugs, ensure the hugs. Quality is everything.
Chris Gafney
Ensign
Aug 14, 2025 12:45 AM UTC

Hi ShiftSyncers đź‘‹

You ask fantastic questions during webinar Q&A sessions, and we realized the answers are helpful to the entire community. 

From now on, we’ll be sharing some of these Q&A snapshots here so everyone can benefit.

Today’s question is:

When AI tests fail, what debugging approaches do you recommend? How can we determine if the issue is with the test itself, the model, or the data?


Watch the full webinar here

 

Perfect Session by ​@executeautomation ,

Kudos to the team ​@PolinaKr 

 

Thanks,

Ramanan 

True Ramanan

Ramanan
Ace Pilot
Aug 14, 2025 12:46 AM UTC

Hi ShiftSyncers đź‘‹

You ask fantastic questions during webinar Q&A sessions, and we realized the answers are helpful to the entire community. 

From now on, we’ll be sharing some of these Q&A snapshots here so everyone can benefit.

Today’s question is:

When AI tests fail, what debugging approaches do you recommend? How can we determine if the issue is with the test itself, the model, or the data?


Watch the full webinar here

 

Perfect Session by ​@executeautomation ,

Kudos to the team ​@PolinaKr 

 

Thanks,

Ramanan 

True Ramanan

🙂

Hunt the bugs, ensure the hugs. Quality is everything.