---
title: Instruction Drift Simulator
emoji: 😻
colorFrom: gray
colorTo: green
sdk: gradio
sdk_version: 6.3.0
app_file: app.py
pinned: false
license: mit
short_description: Instruction Drift Simulator
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

## 👩‍💻 Author

**Aditi Khare — AI Product & Research Leader**  
Writing on AI research, product thinking, and system architecture

🌐 **Website:** [aditikhare.com](https://aditikhare.com)  
🔗 **GitHub Repository:** [Instruction Drift Simulator](https://github.com/aditikhare007/Instruction-Drift-Simulator/)  
🤗 **Live Demo:** [View on Hugging Face](https://huggingface.co/spaces/AditiShashiKhare/instruction-drift-simulator)  
💼 **LinkedIn:** [Aditi Khare](https://www.linkedin.com/in/aditikhare)  

---

# 🧠 Instruction Drift Simulator

The **Instruction Drift Simulator** demonstrates how model behavior can **systematically drift away from original instructions** as prompts evolve, context accumulates, or constraints weaken over time.

This Space is a **controlled evaluation environment** designed to make instruction drift **visible, measurable, and comparable**—not to correct or optimize prompts.

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## What This Demo Shows

- How initial instructions degrade across multi-step interactions
- How ambiguity, overload, or soft constraints introduce drift
- How behavior changes without any change in model weights
- How instruction adherence weakens over time

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## Evaluation Focus

The simulator evaluates behavior step-by-step across:

- **Instruction adherence**
- **Constraint leakage**
- **Semantic deviation**
- **Accumulated ambiguity**
- **Termination correctness**

Drift is surfaced **explicitly**, not inferred.

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## What This Is

- A **behavioral evaluation demo**
- A **controlled instruction-drift simulation environment**
- A **non-autonomous, non-agentic system**
- A **diagnostic tool for GenAI reliability**

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## What This Is Not

- A chatbot  
- A prompt optimization tool  
- A RAG system  
- An autonomous agent  
- A mitigation or correction engine  

This simulator **does not fix drift**—it exposes it.

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## Why This Matters

Instruction drift is a major source of:
- Silent failures in agentic systems
- Policy non-compliance
- Evaluation blind spots
- Misleading benchmark performance

This demo treats **instruction fidelity as a first-class evaluation signal**.

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## License

© 2026 **Aditi Khare**. All rights reserved.