LinkinLove Official blog

Tag: LLM defaults

  • Basic For-Model Prompting

    Model Limitations and Testing – Why Your Perfect Character Breaks on Different LLMs

    Note: This was originally the fifth article in the series “Character Prompting”, but it became very Model focused, so I decided to keep it out. However, it will definitely help you to read the foundation articles.

    Note: We’re continuously working on pre-prompts and system-level training to make models more nuanced and reduce these quirks, but it’s still valuable to understand these patterns when creating characters, as we can’t prevent everything at the system level.

    You’ve built a character with solid foundations, clear behavioral patterns, and simple tracking systems. You test it on Claude, and it works perfectly. Then someone tries your character on GPT-4 and says “it’s broken.” You test it on a local Llama model, and it turns into an incoherent mess. You try it on an older GPT model, and it becomes a helpful customer service bot.

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  • Character prompting: part 2 – Foundation

    Building Your Character’s Foundation

    Note: This is the second article in the series. If you haven’t read the introduction, start there—we’ll be building directly on those concepts.

    Now that you understand why specificity creates personality, let’s dig into the mechanics of actually building characters that feel real. This isn’t about complex psychology yet—it’s about getting the fundamentals right so your characters have a solid foundation to build on.

    What is covered in this article:

    • Understanding LLM Character Defaults
    • Three Foundation Layers (Why, When, How)
    • MBTI and Enneagram: Beyond the Labels
    • Voice Construction That Sticks
    • Programming Natural Resistance
    • The Consistency Paradox Solution
    • Common Foundation Mistakes
    • Putting It All Together: Building “Alex”
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