researching

Automated literature review and hypothesis testing orchestrates a full scientific-method loop that refines problems, generates hypotheses, runs parallel literature assessments, executes experiments, and outputs findings.md and article-abstract.md.

Yes, autonomous research runs are resumable and idempotent, detecting existing progress from hypothesis and problem files to resume interrupted loops without duplicating experiment artifacts or literature tasks.

The best way to run parallel literature reviews and experiments is through agent orchestration that spawns background tasks simultaneously, accelerating slow research steps while maintaining reproducible experiment artifacts.

Iterative research handles problem refinement by analyzing an initial description, narrowing the scope into a refined problem statement, and then generating literature-backed, testable hypotheses for experimental validation.

Yes, autonomous research requires file read/write access to manage iteration state via hypothesis files and to produce reproducible experiment artifacts alongside final findings and abstract files.

Yes, you can use autonomous research for debugging complex issues because the scientific-method loop applies iterative hypothesis testing and experimental validation to systematically investigate and resolve exploratory problems.