AIWorkValue: AI-assisted implementation and drafting for a secondary reanalysis

Research applicability

Explicit AI-assisted implementation and drafting within a documented secondary economics/business reanalysis supports bounded research coding/writing assistance.

Getting started

Untested editorial suggestion: read the retained primary evidence and limitations; researchers must verify source support before use.

Maintenance

Dated source snapshot only; present availability, maintenance and version parity require separate checks.

License

Source visibility is not reuse clearance; source/model/data licenses and rights require separate checking.

Workflow & human oversight

Scope: Documentation-only; no repository code executed, outcomes reproduced, private inputs fetched or production decisions changed. Human control: Source documents analyst interpretation and statistical checks; assigning L1 is editorial inference for the explicitly disclosed assistance. AI assistance is not evidenced across all analytical stages. Stage connections: - Analyst defines secondary reanalysis and interpretation - AI assists implementation and draft preparation - Analyst documents checks, estimand limits and hypothetical scenarios Stopping: No additional stopping policy established by this representation. Missing evidence: No autonomous research, new randomised experiment, realised business benefit or independent reproduction.

Workflow level is not an evidence score; higher is not better evidence.

Approach

- Analyst defines secondary reanalysis and interpretation - AI assists implementation and draft preparation - Analyst documents checks, estimand limits and hypothetical scenarios

Outcomes (as reported by the originating team)

Documented method or intended capability; no empirical research benefit established by this review.

Limitations

- Original Noy/Zhang experiment is a cited dependency, not this project or an identity alias. - No numerical benefit claims adopted; outcomes not independently reproduced. - Capacity/value scenarios are explicitly hypothetical, not profit or field deployment. - No participant data fetched, dashboard launched or code executed.

Reproducibility

AI editorial source review only. No candidate code, model, agent, experiment or reported outcome independently executed or reproduced. Documentation-only; no repository code executed, outcomes reproduced, private inputs fetched or production decisions changed.

Adoption requirements

Untested editorial suggestion: define a bounded lawful task, inspect rights/model/data requirements and verify results before use.