Areas of exploration
When can a model act usefully?
Agents & workflows
Tool use, orchestration, and the conditions under which an intelligent workflow remains observable and dependable.
Questions in this area
- Which tasks benefit from a model selecting tools and carrying out several steps?
- Where should a person review a decision, correct a mistake, or stop the workflow?
- How can a workflow recover from partial failure without repeating a consequential action?
What useful evidence looks like
A workflow can be examined through its actual task, tool calls, intermediate state, and final outcome. Useful evidence includes the human checking and correction it requires, the failures it can detect, and the actions it can recover from. Observability and explicit boundaries make the process easier to evaluate. The practical question is how much dependable work the complete system can carry through.
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