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Tutor IA — Deterministic Interaction Framework for ChatGPT

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Tutor IA is a deterministic interaction framework designed to transform ChatGPT into a structured professional assistant through onboarding contracts, contextual role assignment, execution policies, replay validation and modular prompt governance.


Core Concepts

  • Deterministic onboarding pipelines
  • Structured AI interaction contracts
  • Runtime execution governance
  • Context-aware role assignment
  • Replay validation and integrity verification
  • Prompt orchestration architecture
  • Modular AI workflow engineering
  • Professional AI operational flows

Target Use Cases

  • Professional ChatGPT operation
  • AI-assisted commercial workflows
  • Structured report generation
  • Deterministic onboarding systems
  • AI governance experimentation
  • Prompt engineering frameworks
  • Operational AI copilots
  • SME AI enablement

Repository Status

Current status: Active MVP evolution toward commercial deployment.


Usage Notice

This repository is publicly visible for demonstration and evaluation purposes only.

No permission is granted to copy, redistribute, commercialize or create derivative commercial products without explicit authorization from the author.

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Deterministic AI interaction framework for structured ChatGPT sessions, onboarding pipelines, contextual role assignment, replay validation and professional-grade prompt orchestration.

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