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How to Set Up and Optimise Your LLM

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Description

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.

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