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Chapter 65: Identity & Persona Tuning

Shape how your model speaks. This chapter builds a persona-tuning skill to encode tone, role, and guardrails so outputs stay on-brand and safe.

Goals​

  • Differentiate system prompts vs. persona tuning
  • Design datasets for tone/style without breaking task accuracy
  • Run persona-focused fine-tuning/conditioning
  • Validate safety and style adherence
  • Capture patterns in a reusable persona skill

Lesson Progression​

  • Build the persona-tuning skill
  • System prompts vs. tuned identity
  • Data design for tone/style
  • Persona tuning run and evaluation
  • Capstone: brand-aligned Task API persona; finalize the skill

Outcome & Method​

You finish with a persona-tuned model (or prompt stack) and a reusable persona skill for future products.

Prerequisites​

  • Chapters 63-64 (data + SFT foundations)