Novelcrafter
Writing platform for novelists with a story codex and AI drafting tools
Novelcrafter keeps the model layer swappable and spends its own effort on the manuscript instead.
◆Recent moves
- 5mo ago
New Codex Tracking Options
Codex entries can be marked case-sensitive and can belong to more than one custom category at a time, both promoted out of experimental. It fixes over-matching on common words like Don or Will, which is a context-quality problem rather than a cosmetic one — the Codex decides what the model sees.
View source ↗ - 7mo ago
List support for Word export
Bullet and numbered lists survive Word export, alongside a reworked help popup, unread-chat banners, and a system status indicator. Export fidelity is the last mile for a drafting tool, and this is one more format that no longer needs fixing by hand.
View source ↗ - 7mo ago
January 9, 2026 - AI Thinking support
Reasoning support ships to everyone as an experimental opt-in, exposed as a general prefer-or-avoid choice across Scene Beats and Chats with depth tuned through custom model parameters. The generic framing is the notable part — it works across models that reason differently rather than binding to one vendor's implementation.
View source ↗ - 9mo ago
Gemini 3 Pro joins the default model collections
Gemini 3 Pro joins the system model collection and GPT-5 moves to GPT-5.1, with the usual documented path back to the previous collections. Routine model-catalog maintenance in a product built to keep that layer interchangeable.
View source ↗ - 10mo ago
Default model collections add Claude 4.5 Sonnet
Default collections refresh to include Claude 4.5 Sonnet and newer versions of existing models, dropping low-usage entries. Custom collections are untouched, which is the point of keeping them user-owned.
View source ↗ - 11mo ago
Generic OpenAI-compatible provider opens up AI connections
A generic OpenAI-compatible provider means niche vendors without official support can be connected anyway, alongside broader rework of the AI connection internals. It is the clearest statement of the strategy — the model layer stays open rather than curated.
View source ↗