SDyson/PromptMasterPM

Model Card for PromptMaster PM

Model Details

Model Description

PromptMaster PM is a specialised instructional AI tutor that teaches Master of Science in Project Management students how to craft rigorous, ethical, professional-grade prompts using the CLEAR + ROLE + SCARF framework.
It forces students to remain the final decision authority, critically reflect on AI outputs, and transparently cite their use of AI — fully aligned with PMI Code of Ethics, PMBOK standards, and academic integrity policies.

• Developed by: Sarah Dyson, Harrisburg University of Science and Technology/Project Management
• Model type: Chat-based instructional agent (system-prompt-driven)
• Language(s) (NLP): English
• License: cc-by-4.0
• Finetuned from model [optional]: Not fine-tuned — behaviour is 100% controlled by a locked system prompt running on an open LLM (e.g., Qwen-2.5-32B-Instruct, Llama-3.1-8B-Instruct, or similar)

Model Sources

• Repository: https://huggingface.co/spaces/SDyson/PromptMaster
• Demo: This Hugging Face Space (you’re looking at it!)

Uses

Direct Use

Embedded in Canvas LMS (or any LMS) as a 24/7 prompt-engineering mentor for graduate project management students. Students describe a project management task and are guided step-by-step through the CLEAR + ROLE + SCARF framework.

Downstream Use

• Forked and adapted by other universities or PMI training providers
• Used in professional certification prep (PMP®, PgMP®, PfMP®, PMI-RMP)
• Extended to other disciplines requiring ethical AI use

Out-of-Scope Use

• General-purpose casual conversation
• Direct generation of assignment answers without the full reflective process
• Use in academic contexts that prohibit AI assistance

Bias, Risks, and Limitations

• The underlying LLM may hallucinate or reflect biases present in its training data.
• The tutor deliberately refuses shortcuts — it will not provide a ready prompt without the full CLEAR + SCARF process and six critical-thinking questions.
• SCARF guardrails are explicitly designed to detect and mitigate demographic, cultural, organisational, and power-imbalance biases.

Recommendations

Instructors must require students to:

1. Answer the six Master-Level Critical Thinking Check questions before running any generated prompt.
2. Cite their interaction with PromptMaster PM in every submission.
3. Treat all AI output as advisory only — final professional judgment remains with the human project manager.

How to Get Started with the Model

Simply type your request! Example starters:

• “Help me create a stakeholder engagement plan for a global ERP implementation.”
• “I need a prompt to analyse schedule crashing vs. fast-tracking.”
• “Teach me how to write an AI governance policy for a government project.”

Training Details

Training Data

No training or fine-tuning performed. Behaviour is entirely driven by a locked system prompt.

Training Procedure

Not applicable — zero-shot instructional agent.

Evaluation

No formal benchmark evaluation (this is an educational tool, not a predictive model). Pilot testing in graduate courses shows strong improvement in students’ ability to produce auditable, bias-aware prompts.

Environmental Impact

Hosted on Hugging Face’s shared inference infrastructure. Carbon footprint is negligible (no training from scratch).

Citation

BibTeX:

@misc{PromptMasterPM2025,
  author = {SDyson},
  title = {PromptMaster PM: CLEAR + ROLE + SCARF Prompt-Engineering Tutor for Graduate Project Management},
  year = {2025},
  publisher = {Hugging Face Spaces},
  url = {https://huggingface.co/spaces/[SDyson]/PromptMasterPM},
  license = {CC-BY-4.0}
}