Framing an unreliable narrator with AI prompts means setting up the voice, the hidden agenda, and the specific blind spots before generating text, so the model has a coherent character to embody. Vague prompts produce contradictions that feel accidental; precise ones produce deception that feels designed.
Unreliable narrator framing is a prompting strategy that instructs AI to generate story content filtered through a narrator whose perceptions, memories, or interpretations are demonstrably incomplete, biased, or self-serving. The technique requires the AI to hold two truths simultaneously: what the narrator believes and what actually happened.
This is one of the more technically demanding narrative devices to execute consistently, and AI can help writers stress-test unreliable perspectives by generating alternative accounts of the same events, revealing gaps and contradictions the narrator would not consciously acknowledge.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.