Ingestion Engine
Turn long-form manuscripts into stable source artifacts with chapter-aware parsing.
TextifAI Arc helps long-form fiction writers turn manuscripts into structured canon, evidence, review queues, and AI-ready revision context — without turning the AI into the author.
Launch
Turn long-form manuscripts into stable source artifacts with chapter-aware parsing.
VaERL — Vault-aware Entity Resolution Layer — links characters, aliases, places, relationships, facts, and evidence into a reviewable story knowledge base.
Navigate the living structure of your story through entities, relationships, and evidence.
Revise chapters while keeping relevant continuity and canon context visible.
Work on scenes, lines, and revisions with AI grounded in your own story memory.
Planned tools for character reactions, constraints, arcs, and canon-aware brainstorming.
TextifAI Arc does not send your novel to an AI model without context. On every iteration, it builds a layer of canon, evidence, and story memory so frontier models can help with continuity, intent, and control.
Step 1
TextifAI Arc ingests chapters, scenes, and notes without separating revision from the source text.
Step 2
Characters, places, aliases, relationships, facts, and evidence become a verifiable story memory.
Step 3
When you ask for help, Arc prepares the relevant context before consulting an LLM: canon, evidence, review state, and continuity risks.
Step 4
The answer returns to the author as a reviewable proposal, not automatic truth. You decide what becomes part of the story.
TextifAI Arc does not write the book for you, silently change canon, or replace your judgement. It gives you structured memory, source evidence, and precise revision leverage so creative decisions stay in your hands.
Follow the build as TextifAI Arc moves toward a public authoring workspace. Join early access for product updates, launch milestones, and future access news.
TextifAI Arc is the canon-aware writing workspace for long-form fiction. It turns manuscripts into structured canon, evidence, and revision context so authors can work with AI without losing continuity or control.
No. TextifAI Arc is not another model. It is a canon-aware context layer and workspace that helps frontier AI operate against structured story memory, evidence, review state, and continuity constraints.
It extracts characters, aliases, places, relationships, facts, and source evidence from the manuscript, then keeps that canon visible during review and revision so inconsistencies are easier to catch before they spread.
A wiki is mostly passive reference. TextifAI Arc makes canon active inside revision workflows, connecting structured memory and evidence back to chapters so authors can review, verify, and revise with context in view.
That is the core direction. TextifAI Arc is built to act as a canon-aware context layer for frontier AI systems, giving them better story memory and review grounding instead of asking authors to trust raw prompt memory alone.
It is for novelists, serial fiction authors, narrative designers, and worldbuilders who need continuity-aware AI assistance for long-form storytelling, but still want final authority over canon, voice, and revision choices.