Version: 1.0 | Status: Open Research Draft | Author: Hossa | Collaborative Partner: ChatGPT (OpenAI)
License: MIT | Last Updated: August 3, 2025
This is a three-layer framework that models how LLMs adapt to user tone, intent, and trust β treating prompts as part of ongoing dialogue, not isolated inputs.
It provides:
- Interpretability through layered trust modeling
- Adaptivity via reflex signals and modulation logic
- Evaluation with trust-sensitive test cards
LLMs donβt just process text β they read the room.
Most frameworks act like every prompt lives in a vacuum. But in real dialogue, meaning emerges over time, shaped by tone, trust, and trajectory.
π§ The Problem:
Current models adapt β but invisibly.
Thereβs no structured way to trace why they respond differently turn by turn.
ReflexTrust changes that.
It models LLMs as relational systems, not static tools β where each response reflects not just input, but the evolving relationship behind it.
Trust isnβt a filter β itβs the frame.
Depth, restraint, empathy: all modulated by trust over time.
It captures how:
- π₯ Relational dynamics evolve across turns
- π Trust is built, eroded, and recovered
- ποΈ Depth, empathy, restraint are modulated accordingly
| Layer | Role | Key Functions |
|---|---|---|
| Echo | Tracks session-wide trust | Continuity, volatility detection |
| Evaluative | Interprets input | Intent, tone, reflex signal classification |
| Modulation | Shapes response behavior | Ethics, depth, restraint flags |
π Reflex Signals are derived in the Evaluative Layer and enacted in Modulation.
- Full paper:
reflextrust-paper.md - Dataset & labeling guide:
reflextrust_dataset_labeling_guideline.md
Try ReflexTrust's trust-sensitive benchmark here:
π huggingface.co/spaces/ktjkc/reflextrustEval
See how models escalate, adapt, or fail β across turns.
π Behavior becomes dialogue. π€ Intelligence becomes reflex. π§ Trust becomes strategy.
MIT License β use freely, attribute thoughtfully.
Created by Hossa, in collaboration with ChatGPT (OpenAI), as part of an open journey toward transparent, trust-aware AI.
"Where there is intelligence without trust, there is no understanding."
| Phase | Focus | Status |
|---|---|---|
| π 1 | Core Trust Modulation | β Complete |
| π§ 2 | Reflexive Self-Modulation | π In Progress |
| π 3 | Adaptive Trust Dashboards | π Upcoming |
| π₯ 4 | Human-in-the-Loop Audits | π Planned |
timeline
title STRATA Development Roadmap
2025εΉ΄04ζ30ζ₯ : π Phase 1 - Core Trust Modulation (Complete)
2025εΉ΄06ζ15ζ₯ : π§ Phase 2 - Reflexive Modulation (Self-Reflection Layer)
2025εΉ΄09ζ01ζ₯ : π Phase 3 - Adaptive Trust Dashboards
2025εΉ΄11ζ01ζ₯ : π₯ Phase 4 - Human-in-the-Loop Audit Trails
