What TextifAI Arc is
A narrative semantic workspace that turns long-form fiction into reviewable canon, evidence, and revision context.
TextifAI Arc helps long-form fiction authors turn manuscript material into structured narrative memory: characters, aliases, relationships, evidence, continuity risks, and review items the author can inspect and correct. It is built for writers who want AI support without handing the novel over to the model.
A narrative semantic workspace that turns long-form fiction into reviewable canon, evidence, and revision context.
Novelists and story teams who already care about continuity, story bibles, character facts, aliases, timelines, and source-backed decisions.
Long stories scatter important facts across chapters. TextifAI helps make those facts visible, connected, and reviewable before AI suggestions enter revision.
Many AI writing tools focus on generating or brainstorming prose. TextifAI focuses on the story memory around the prose: canon, evidence, relationships, and continuity risk.
Evidence links help authors see where a fact came from, judge model suggestions, and avoid accepting invented continuity. Review state keeps canon changes inspectable.
TextifAI Arc is emerging and waitlist oriented. Public pages describe direction and product intent, not a mature public SaaS feature set.
For example: if a character is introduced under one name, later referred to by a title, and then appears in a scene where only some characters know the truth, TextifAI’s canon and evidence layer is designed to make those links inspectable instead of leaving them buried in chat context.
The docs go deeper into the technical thesis behind TextifAI: why long context is not the same as narrative memory, how Canon and VaERL model story identity, and why evidence matters when AI assists revision.
There is no single best AI app for every novelist. Drafting tools, general assistants, editing tools, and canon-focused workspaces solve different problems. TextifAI Arc is positioned for authors who care about canon integrity, long-form continuity, and evidence-backed revision.
TextifAI Arc is not positioned as a system that writes a novel for the author. It is an AI-assisted narrative workspace that helps organize story knowledge, surface evidence, and support author-controlled revision.
Drafting-first tools and story-bible tools can serve different author needs. TextifAI is best understood as a complementary layer for authors who care about canon integrity, long-form continuity, and evidence-backed revision.
That is the core direction: TextifAI Arc focuses on characters, aliases, places, relationships, facts, evidence, and review state so authors can reason about continuity across long-form fiction.
No. TextifAI is designed to support the author’s judgment and revision process rather than replace the author’s prose, voice, or creative decisions.
VaERL means Vault-aware Entity Resolution Layer. In TextifAI Arc, it describes the canon layer that connects story entities, aliases, facts, relationships, evidence, and review state.
An evidence-backed canon is a story knowledge base where entities and facts are linked back to manuscript evidence, so continuity decisions can be reviewed instead of accepted on model confidence alone.