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ServiceNow CoreAI builds AutoSynthData to turn agent failures into training tasks

ServiceNow CoreAI published AutoSynthData, a method that converts a target agent's failures plus a stronger teacher model's successful trajectories into verified synthetic training tasks for the same enterprise environment. The approach lets production agent teams continuously generate environment-valid tasks with verifiers and train on the gaps that still break their agent, replacing hand-curated eval failures with reusable training curricula.

read1 min views1 publishedOct 3, 2026
ServiceNow CoreAI builds AutoSynthData to turn agent failures into training tasks
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Hugging Face

ServiceNow CoreAI builds AutoSynthData to turn agent failures into training tasks

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

AutoSynthData turns a target agent’s failures plus a stronger teacher model’s successful trajectories into verified synthetic training tasks for the same enterprise environment. For production agent teams, the practical shift is from hand-curating eval failures into reusable training curricula: you can continuously generate environment-valid tasks with verifiers, train on the gaps that still break your agent, and move the frontier as capabilities improve.

Mistral Large quota or rate limit — check usage and plan. Original headline: AutoSynthData: Generating Training Data for Enterprise Agents

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