
Supervised learning examples
Instructions, relevant context, and carefully reviewed responses organized for a defined learning objective.
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The right format depends on the behavior you want to develop. Explore the building blocks for training, feedback, and evaluation, then work with us to define a suitable brief.

Instructions, relevant context, and carefully reviewed responses organized for a defined learning objective.
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Held-out problems and acceptance criteria that help assess a specific capability or workflow.
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Explicit grading guidance and checks for outputs whose quality cannot be captured by surface similarity alone.
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Comparisons that record which response better satisfies the task, with consistent criteria for the choice.
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Tasks, tool interfaces, and observable state changes for agents learning to act across connected systems.
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Recorded steps through browser and desktop workflows, paired with the task context and completion conditions.
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Implementation briefs, debugging examples, and tests that connect a coding request to verifiable behavior.
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Material shaped around the terminology, constraints, and review practices of a professional field.
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Evidence-gathering and synthesis tasks with attention to source quality, uncertainty, and attribution.
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Learning and evaluation material for questions that depend on more than a single form of input.
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A structured review of errors that helps identify where additional examples or a different task design may be useful.
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A scoped combination of task design, data preparation, review, and documentation for a particular development goal.
Discuss this formatShare the capability, domain, preferred format, and constraints. We can then discuss a scope that fits the work.