How AI Novel Generators Handle Character Consistency (And How to Fix It)
If you generate multi-chapter fiction with AI, you’ve seen it: Chapter 1 is strong… and by Chapter 12 your detective is suddenly psychic and your villain’s eye color has changed three times.
The #1 issue: character drift
New AI fiction writers usually hit the same problems:
- Personality shifts: shy MC becomes a loud extrovert.
- Trait changes: physical details change between chapters.
- Contradictory backstory: “orphan” suddenly has parents.
This isn’t a “bad prompt” problem. It’s a missing workflow constraint problem.
Fix #1: the Character Bible (keep it short)
Before you generate chapters, define a compact character bible for each main character:
- Physical anchors: height, hair/eye color, scars, dominant hand.
- Core personality: 3–5 traits (e.g., Big 5 shorthand works).
- Motivations: long-term goal + short-term goal + fear.
Pro tip: add 3 “anchor scenes” that reinforce traits. Example: “Show claustrophobia in an elevator.” These scenes lock the character’s behavior early.
Fix #2: the 3-test rule (per chapter)
On every chapter, run this fast sanity pass:
- Dialogue test: would this character actually say this?
- Action test: do their choices match their goals?
- Continuity test: physical + logistical details consistent?
This takes minutes, and it prevents bad reviews caused by “random weirdness.”
Fix #3: series lock-in
For sequels, feed the end of Book 1 (or a summary + character bible) back into the generation context so the model inherits the established voice and state.
Common mistakes (avoid these)
- Overloading traits: 20+ details → the model ignores half. Keep 5–7 key anchors.
- Ignoring genre constraints: character behavior should match genre conventions.
- Skipping the “weirdness check”: scan for sudden quirks that break tone.
Want a faster KDP workflow?
If you want a repeatable pipeline (structure → chapters → export), start here: