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Iterating on Voice

8 min

expert

Training AI on your voice is iterative. You'll generate output, evaluate it, give feedback, and generate again. Each cycle should get closer to your authentic voice. Here's how to iterate efficiently.

Key Concepts

1
Generate → Evaluate → Feedback → Regenerate
2
Be specific in feedback: 'more punchy' vs 'shorter sentences, more verbs'
3
Save successful outputs as reference examples
4
Discard and restart if output is fundamentally wrong direction
5
Patience: good voice matching takes multiple sessions

Examples

Prompt / Technique

Iteration example:
V1: Too formal, stiff
Feedback: 'Make dialogue more casual, characters interrupt each other'
V2: Casual but lost tension
Feedback: 'Restore tension through shorter sentences in climactic moment'
V3: Close—adjust one character's vocab

Result / Insight

Each iteration gets closer to target voice