Make parallel AI research a bounded job.

The problem

Parallel agent research needs explicit boundaries for work, failure and output. This implementation makes those controls part of a job contract.

Choices in the implementation

• Use separate worker directories and explicit timeouts.
• Coordinate independent agent processes in Python rather than relying on an unreliable nested-spawn path.
• Collect structured worker results before optional synthesis.

What exists

• Task decomposition, concurrent subprocess execution, timeout/error handling and typed result artifacts.
• Local execution plus Docker packaging and a Kubernetes job template.

The next question

Compare sequential and parallel runs on the same research tasks, including cost, latency, citation quality and partial failures.