Current product status
Current product status
TextifAI Arc is in active development. This documentation describes the current preview and the product direction: a canon layer for AI-assisted authors.
The core idea is already defined: Arc is not meant to write the novel for you. It builds structured narrative memory so you can inspect, review, and work with your manuscript using evidence, canon, and more reliable context.
Roadmap
TextifAI Arc is being built in layers. First comes ingestion and canon. Then revision and editing loops. Later come broader collaboration, export, and cloud workspace flows.
Current base
The current product base focuses on turning narrative material into an inspectable workspace:
- manuscript ingestion;
- chapter separation;
- Canon / VaERL extraction;
- entities, relationships, evidence, and review items;
- Graph and Canon views;
- chapter editor backed by Markdown;
- public waitlist and production deployment foundation.
This layer validates TextifAI’s core: turning long text into structured, queryable, reviewable narrative memory.
Next
The next stage focuses on closing the loop between editing, review, and narrative memory:
- reanalysis after chapter edits;
- inline rewriting and regeneration;
- canon-aware assistant flows;
- entity fiche editing;
- clearer review cycles;
- public landing improvements and early access.
The goal is for Arc not only to analyze the manuscript, but to help authors work on it while staying connected to canon and evidence.
Later
The broader product direction includes more surfaces for authors and narrative teams:
- character laboratory;
- advanced exports;
- collaboration features;
- cloud workspace accounts;
- broader public early access.
These areas belong to the product vision, but they come after the foundation is solid: ingestion, canon, evidence, review, and author control.
Input formats
The current preview is centered on simple, controllable formats:
- Markdown (
.md); - plain text (
.txt).
These formats allow the core product to be validated without hiding errors behind complex document conversion. Other formats, such as word processor documents or PDFs, are a natural part of the problem TextifAI aims to solve, but they should appear explicitly as supported before being treated as available.
How to read this roadmap
This roadmap is not a list of fixed promises or launch dates. It is a way to understand the product build order.
The priority is clear:
- build reliable narrative memory;
- connect that memory to evidence;
- allow author review and correction;
- use that foundation to give AI better context;
- expand later into more comfortable, collaborative, and exportable workflows.
TextifAI Arc is moving toward a workspace where authors can work with AI without losing creative control or relying on opaque memory.