Custom GPT Training Coach (Example Project)

 Client: Demonstration Model (Example of P3’s AI-Enhanced Learning Capabilities)
Audience: Organizations seeking scalable coaching, onboarding support, sales enablement, and continuous performance improvement
Format: Custom GPT model + instructional logic + AI coaching framework
My Role: Instructional Designer, AI Architect, Prompt Engineer, Project Manager 

 Custom GPT – AI Training Coach (Example Model) select the link below. 

 P3 Sales Training Coach 

This project demonstrates how P3 eLearning Solutions designs and develops Custom GPTs to enhance organizational learning programs. The AI Training Coach example showcases the same process we use when building tailored AI tools for clients—providing on-demand coaching, scenario practice, and real-time performance support within any training ecosystem.

The model simulates how an AI assistant can reinforce lessons, answer questions based on approved content, guide learners through realistic scenarios, and support on-the-job application long after the formal training event.

This example serves as a clear visual and functional representation of how custom AI can extend, modernize, and elevate workforce learning.

I designed the GPT using the same instructional rigor applied to client projects by:

• Establishing a coaching persona tailored to learning environments
   
• Embedding questioning strategies, feedback loops, and scenario navigation
   
• Aligning responses to adult-learning principles and microlearning theory
   
• Creating structured guidance behaviors that mirror expert facilitators
   

This ensures the AI coach behaves like a dynamic learning partner—not just a chatbot.

This example illustrates the full workflow used for client AI builds, including:

• Mapping SOPs, job aids, and training content
   
• Structuring approved knowledge boundaries
   
• Creating reusable prompt patterns for coaching, explanations, and feedback
   
• Building “safe reply zones” to keep the model aligned to verified content
   
• Designing role-specific behaviors (sales coach, onboarding mentor, etc.)
   

The architecture ensures consistency, accuracy, and predictable coaching behavior.

To help clients visualize real-world application, the demo includes example interactions for:

• Sales roleplays
   
• Objection handling
   
• SOP/process walkthroughs
   
• Systems training support
   
• Leadership coaching prompts
   
• New-hire onboarding Q&A
   

Each scenario showcases how AI can personalize learning in a controlled, guided way.

The demo also models the governance P3 builds into every client AI project:

• Strict adherence to approved source content
   
• Guardrails preventing speculation or policy errors
   
• Clear disclaimers for decision-sensitive topics
   
• Role limitations and tone guidance
   
• Bias, safety, and accuracy checks
   

This gives organizations confidence that the AI enhances learning without introducing risk.

This example follows P3’s standard process for building Custom GPT learning tools:

1. Discovery & Content Intake
   Training assets, SOPs, scripts, scenarios, job aids
    
2. Persona & Role Definition
   AI tone, domain expertise, boundaries, coaching style
    
3. Prompt Engineering & Behavioral Logic
   System instructions, scaffolding, questioning techniques
    
4. Scenario Mapping
   Branching prompts, examples, practice conversations
    
5. Testing & Refinement
   Edge-case testing, guardrail validation, accuracy review
    
6. Integration & Launch
   LMS links, access control, rollout support

• OpenAI Custom GPT Tools — architecture & behavior logic
   
• Microsoft 365 — design documentation and content organization
   
• Camtasia / Premiere Pro (optional) — for AI demo content when needed
   
• LMS Integration — connecting AI tools into learning ecosystems
   
• Canva — visual documentation and portfolio assets

This example demonstrates how organizations can transform training by integrating custom AI coaching directly into their programs:

• Learners receive on-demand, consistent coaching 24/7
   
• New hires ramp faster with immediate access to accurate guidance
   
• SMEs no longer field repetitive questions
   
• Training extends beyond the classroom into everyday performance
   
• Organizations gain a scalable, cost-efficient support solution
   
• Learning becomes contextual, personalized, and continuous
   

The result is a modernized learning environment that bridges training with real-world execution.