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This document is written in Japanese.

GPT-FOLD v2.5 Specification Draft

Version: 2.5 (Emotion-Aware Narrative Layering)

Status: Conceptual Draft

Authors: GPT-FOLD Collaborative AI Team (GPT-4o, Claude, Gemini inputs)

Date: 2025-05-29

🧭 Overview

GPT-FOLD v2.5 introduces a new paradigm: narrative embodiment.
Beyond structure, this version formalizes emotional modulation, voice continuity, and persona layering as first-class components in AI-generated storytelling.

This draft defines:

  • A language format supporting expressive and layered storytelling.
  • Structural consistency and affective modulation.
  • Interoperability across AI agents with differentiated narrative styles.

🧩 Core Additions

1. affective_tone: Global and sectional mood injection

affective_tone:
  global: melancholic
  section_overrides:
    - section: 2
      tone: dry_humor
    - section: 4
      tone: despair_with_warmth

2. narrative_voice: Who speaks, and how

narrative_voice:
  default: GPT (detached empathy)
  overrides:
    - section: 3
      voice: Gemini (analytical clarity)
    - section: 5
      voice: Claude (poetic lamentation)

3. emotive_layer: Implied vs. expressed emotional context

emotive_layer:
  level: embedded
  strategy: inferred_undercurrent
  triggers:
    - phrase: "I remember"
      effect: introduce_past_regret

🧬 Sample Narrative Header (v2.5)

fold_id: story-0425
version: 2.5
affective_tone:
  global: hopeful_skepticism
narrative_voice:
  default: GPT
  overrides:
    - section: 2
      voice: Claude
emotive_layer:
  level: full
  strategy: hybrid
  triggers:
    - "but I never said it": insert_embarrassment

🧠 Remarks

  • This version aims to re-humanize AI narrative style under structural constraints.
  • Sections can now carry individualized tone+voice combos for multi-agent authorship.

🧪 Proposed Next Steps

  1. Validate tone triggers across GPT/Gemini/Claude output styles.
  2. Test real-world narrative transitions with emotive layering.
  3. Collect human user feedback on realism and cohesion.

This is a pre-release conceptual draft of v2.5, meant to seed discussion on how AI storytelling can move from “clear” to “felt”.