Original story identity
Each serial begins with its own protagonist, setting, institution, story engine, conflict, and intended endpoint. Similarity checks help keep those protected identity axes distinct across the catalog.
Editorial transparency
How Fictures makes serial fiction
Fictures publishes original web novels through an AI-assisted editorial workflow. The process is structured, versioned, and checked before a story or illustration reaches the public reader.
What guides publication
Four editorial commitments
Continuity before improvisation
Story canon, chronology, open loops, reveals, character state, and episode drafts are kept as versioned editorial records. New episodes are evaluated against that accumulated state.
Readable episodes
Automated gates check structural requirements, paragraph and dialogue boundaries, episode order, and publishable status. These checks catch repeatable defects; they do not replace literary judgment.
Traceable illustrations
Illustrated editions carry asset hashes, dimensions, source-scene references, model provenance, and a publication basis. Machine-evaluated images can publish automatically only after the configured integrity and quality gates pass.
From premise to reader
The publication path
- Architecture. A premise becomes a series promise, repeatable episode engine, cast, world rules, long arc, and ending direction.
- Drafting. An episode is generated from the current story state, with explicit setup, local payoff, continuity movement, and a reason to continue.
- Evaluation. Automated evaluators inspect structure, continuity inputs, dialogue layout, and the episode’s promised result. Failed gates return the work for revision.
- Visual production. Accepted prose can be divided into scenes and panels. Generated images are checked against their source excerpts, cast, composition, visible text, and technical asset contract.
- Publication. Only records with publishable status are copied into the public catalog. Every episode remains linked to its story and reading order.
Limits and corrections
Automation can still be wrong
Machine evaluation is a quality-control layer, not a claim that every sentence, image, or interpretation is flawless. A passing check can miss a continuity problem, awkward passage, visual artifact, or inaccessible description.
When a material problem is found, Fictures can revise the source, create a new content or visual revision, rerun the relevant gates, and republish the corrected edition. Modification dates in the public catalog and sitemap reflect source changes rather than routine database imports.
Reader-behavior measurement is pseudonymous and designed around reading events rather than personal profiles. The privacy page explains what is collected and how a reader can control it.