fiction-benchmark-composer

To create reusable story evaluation benchmarks, you define specific narrative profiles by selecting evaluation lenses and setting scoring priorities, facilitating consistent assessment and iterative improvements in creative workflows.

Narrative analysis assesses story quality through evaluation lenses, which are specific criteria focusing on elements like pacing or subtext. Setting scoring priorities emphasizes these qualities to generate targeted benchmark profiles.

You set up a custom benchmark profile for plot twists by selecting evaluation lenses that target pacing and subtext, adjusting their scoring priorities to ensure the assessment focuses on those specific narrative qualities.

Yes, you can compare different narrative variants by applying a reusable benchmark profile within an autoresearch loop, maintaining consistent evaluation criteria to identify the strongest story iteration.

No prior coding experience is explicitly required to define narrative benchmarks, as the focus is on selecting evaluation lenses and setting scoring priorities to evaluate stories, scenes, or chapters consistently.

The limitation of using scoring priorities is that benchmark profiles reflect predefined evaluation lenses, meaning story assessments are constrained to the specific narrative dimensions and criteria you initially configured.