Matt Zimmerman – AI Prompt CREATORS

Master Advanced Prompt Engineering and Build Intelligent AI Workflows

AI systems architect Matt Zimmerman reveals how to unlock the true cognitive potential of large language models. Learn multi-shot prompting, chain-of-thought reasoning, role conditioning, custom system instructions, and building specialized GPT assistants that automate complex intellectual tasks.

What You Will Learn

• Advanced Prompt Engineering Architectures: Mastering few-shot examples, dynamic context framing, and negative prompting.
• System Prompt Conditioning: Designing persistent personas and operational parameters for Claude and ChatGPT.
• Building Turnkey Custom GPTs: Uploading company knowledge bases, configuring API actions, and refining system boundaries.
• Automated Multi-Step Workflows: Chaining prompts to conduct deep research, draft comprehensive reports, and generate code.

Comprehensive Curriculum Breakdown

1. Module 1: The Science of LLM Prompting: Understanding Context Windows, Tokens & Attention
2. Module 2: Core Prompt Frameworks: Role-Task-Context-Constraint (RTCC) and Chain-of-Thought
3. Module 3: Advanced Prompt Techniques: Few-Shot Prompting, Tree-of-Thoughts & Self-Critique
4. Module 4: Building Custom GPTs & Claude Projects: Knowledge Base Integration & Instructions
5. Module 5: Automating Business Tasks: Drafting Copy, Conducting Data Analysis & Code Generation
6. Module 6: The AI Creator Toolkit: Assembling a Reusable Library of Master Prompts

Frequently Asked Questions