Novalist
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NOVALIST · AI COAUTHORING STUDIO

Novalist directs five agents from premise to canon.

Gravitas is the first world built with Novalist. Architect, Loremaster, Scribe, Critic, and Editor — five specialized roles — challenge one another toward a coherent, canon-consistent manuscript, then hand it downstream to Nexus Kinetis, which grows the living canon. Explore the growing world, or read the pages they wrote.

5

Creative Roles

collaborating in the loop

3

Chapters in Manuscript

across the current acts

13

Canon Entities

in the current knowledge graph

"Chapters in Manuscript" and "Canon Entities" reflect this demo world's current content, not a live count.

The Agent Pipeline

Five conceptual expert perspectives — Architect, Loremaster, Scribe, Critic, Editor — inform three real execution stages: Plan Write Polish. A Human Director oversees the run and is the only one who can approve a manuscript version; nothing reaches canon just because a draft was produced. Retrieval and context-gathering (pulling in relevant existing canon, which may involve an embedding call) is separate from drafting itself — it informs the agents, it isn't one of the three drafting calls. Downstream, Nexus Kinetis — this world's reusable canon engine, configured here with a creative-fiction domain package defining its ontology and expert roles — turns Director-approved pages into proposed knowledge; a separate human review of that proposed knowledge (not the manuscript approval itself) is what actually makes it canon in the world. Hover or select any node to trace how they connect.

1 · Plan

Architect (structure) · Loremaster (canon context)

Breaks the premise into acts and beats, and pulls in relevant existing canon before any prose is written.

2 · Write

Scribe (prose)

Drafts full prose scenes from the plan.

3 · Polish

Critic (review) · Editor (continuity & final pass)

Reviews the draft for continuity and tone, then produces the version the Director sees.

A Human Director approves each version before anything reaches canon.

Evaluation & Experiments

Local tooling used to test and prototype this system, and — the first card only — how runtime data is actually validated in the deployed app.

Pydantic + Zod

Two different scopes, not one system

Pydantic structures evaluation graph state, local to the Python harness. Zod validates application API contracts and runtime data throughout the deployed app.

Langfuse

Optional trace export

Exports evaluation runs for inspection when configured; cloud delivery is unverified.

LangGraph

Experimental eval executor

Runs the evaluation dataset through a local graph — a prototype, not the discovery path.

Temporal

Experimental workflow test

Explores durable-workflow retry and cancellation locally, outside the deployed app.