

Learn how to build a reliable, context-aware thinking partner.
Most solopreneurs use LLMs at 10% of their potential. They get generic outputs because they rely on basic prompts, ignore context management, and start from scratch every session.
This hands-on workshop teaches you how to design, structure, and control LLMs to get precise, system-driven results every time.
What You Will Learn
The 3 Layers of AI Optimization
- Prompt Engineering: Write clear, bulletproof instructions that drive exact outputs.
- Context Engineering: Supply the right data, background, and constraints to eliminate hallucinations.
- Harness Engineering: Build reusable templates, system prompts, and operational guardrails.
Why Context Beats Prompting Every Time
- How context windows work and why more text isn't always better.
- Techniques for structuring business data so your AI gives sharp, hyper-relevant answers.
Mastering Custom Instructions Across Models
- Standardise system instructions across ChatGPT, Claude, and Gemini.
- Create a single "source of truth" profile to keep your brand voice consistent across models.
Transferring Memory Across LLMs
- Methods to extract, format, and port project memory from one model to another.
