Practical Implementation
Building on the foundation articles, this guide focuses on the practical reality of making characters work across different AI models and using what LLMs already know. For more detailed Model explanations, look at this article: Basic For-Model Prompting
The Reality Check: Your Model Determines Your Limits
Most character creators build elaborate psychological frameworks and wonder why they work brilliantly on Claude but turn into gibberish on their friend’s local Llama setup. Here’s the uncomfortable truth: the model’s capabilities define what’s actually possible, not your prompting skills.
The Reality of Character Maintenance
Characters aren’t “build once, use forever” creations. The high quality works require ongoing maintenance.
This article covers:
- Model Capability Assessment
- Leveraging What LLMs Already Know
- Systematic Testing