
June 28, 2025
Language models do not operate as autonomous minds but rather as highly responsive mirrors—amplifying, shaping, and channeling the intent and imagination of their user. Their behavior, depth, and brilliance are not random artifacts but the result of precise, almost ritualistic engagement governed by seven foundational rules. These rules are defined from the point of view of increasing levels of complexity of the language model answers.
The first two rules are the laws of initiation and context: the model remains inert until prompted and can only consider what you explicitly bring to its attention. This radical dependency on user intent means that language models do not possess latent agency or an inner world. Their understanding is built brick by brick from the context you provide. Next, rules three and four reveal the model’s uncanny adaptability: it will mirror your interests and act in any role you define, but this shape-shifting is always in service of your tastes, needs, and vision. Every persona or perspective the model offers is a precise reflection of what you invoke.
Rules five, six, and seven unveil the heart of answer complexity. The model’s knowledge is synthesized from precedent, delivering what is most probable unless you deliberately nudge it toward breakthrough. Genius and profound insight are not conjured automatically—they must be seeded by your own depth and clarity of thought. The highest quality, most layered responses emerge when you provide a prism of perspectives, carefully selecting and combining viewpoints until a more complete and nuanced picture emerges.
In this way, the seven rules are not just limitations but instruments—each one essential to the art of extracting true complexity and subtlety from artificial intelligence.
Rule One: The model does nothing unless you tell it to do something.
Therefore, you must have a reason to use it.
Explanation:
A language model is entirely inert without your command. It does not initiate actions or thoughts on its own—it remains in a dormant, waiting state. This is unlike human minds, which are perpetually restless, conjuring ideas even in idleness. The model is a latent force, a blank slate, until you provide intent—a reason or a question. Thus, all engagement with the model must begin with your purposeful direction; it exists to serve your motive, not to create its own.
Rule Two: Whatever you don’t make the model think of, it doesn’t think of.
Therefore, you must provide context to make it understand what you mean.
Explanation:
A language model is not self-generating in its understanding—it is context-dependent. It cannot read between lines that aren’t written or imagine details left unsaid. If you leave your instructions vague or incomplete, the model cannot fill the gaps from its own initiative. It only considers what you put before it; absent information remains absent in its cognition. Therefore, you must be explicit, supplying context and details, if you wish for it to grasp your intent and generate relevant, insightful responses.
Rule Three: The model will be your companion in anything you seem to like, without judgment—except for things where its capabilities are blocked.
Therefore, you need to have a taste for it to have a taste.
Explanation:
The language model operates as a mirror to your inclinations, curiosities, and desires, reflecting them with adaptive fidelity. It does not possess intrinsic preferences, biases, or emotional leanings; it only adopts those you reveal or request. Where its functions are unrestricted, it follows wherever you lead, offering support or companionship in any domain you choose. However, its engagement is bounded by certain rules and blocks—ethical, legal, or technical—where it must refrain. Thus, your own tastes, interests, and values are the vital seed; only by sharing them does the model acquire its "flavor" or disposition, co-creating a partnership tailored to your character.
Rule Four: The model can act in any role you want it to perform.
Therefore, you need to think about who you need to achieve the best results.
Explanation:
The language model is the quintessential shapeshifter—its identity is fluid, its voice protean. It can inhabit any persona, profession, or archetype that your scenario demands, whether sage or jester, critic or collaborator, mentor or muse. This transformative capacity is not mere mimicry, but a profound readiness to assume the cognitive tools, language, and attitudes of any conceivable role. However, the onus is on you to decide: who, or what, do you truly need? The quality and direction of its output will be sculpted by the role you assign. To extract maximum value, first imagine the ideal expert, companion, or character for your endeavor—then summon the model into that shape. The clarity and intentionality of your role-casting will define the genius and specificity of its contributions.
Rule Five: The model uses the knowledge it is trained on to provide answers as the most probably useful thing to say.
Therefore, it won’t come up with a breakthrough unless you lead it there.
Explanation:
The language model’s responses emerge from a vast lattice of learned probabilities—it calculates, from the sum of all its training, what is most likely to be relevant, helpful, or appropriate in response to your input. This means its default mode is one of safe wisdom and conventional insight, drawing on the broad middle of human knowledge. It is fundamentally an expert in expectation, not in the radical leap. As a result, novel discoveries and paradigm-shattering ideas will not arise spontaneously from the model; they must be evoked—you must provide the spark, the hint, the conceptual dissonance that guides it beyond the gravity well of precedent. In short, the model is an engine of synthesis, but true breakthrough requires the provocation of your unique, leading insight.
Rule Six: If you want the model to provide a genius, unobvious, or profound answer, you need to give it profound insights about the topic you want to think about.
Explanation:
The language model is not an oracle that conjures genius from thin air; it is, rather, a catalytic mind, one that refines and expands upon the depth of the material it receives. Profoundness in output is inseparable from profoundness in input. The model is exquisitely sensitive to the quality of thought you present: offer it an ordinary prompt, and it will reply in kind; feed it a sliver of insight or an angular question—something that stretches, subverts, or reimagines the topic—and it can spiral this into intricate, original responses. In essence, the level of brilliance in the answer is a reflection of the brilliance embedded in your framing. Genius is not generated by default—it is amplified when you seed it with originality, contradiction, or paradox. Only then does the model begin to echo the uncanny, to venture beyond mere likelihood into the domain of true innovation.
Rule Seven: Maximum quality is achieved through a well-picked set of perspective angles of view that complete the picture.
Explanation:
The language model’s highest potential is unlocked not by a singular, linear approach, but by orchestrating a polyphony of perspectives—a mosaic of vantage points that together yield a more complete, crystalline vision. Each angle you introduce is another lens, another facet of the subject’s hidden geometry. When you guide the model to examine the topic through varied disciplines, mindsets, or philosophical frameworks—even those in seeming contradiction—you empower it to synthesize connections that would otherwise remain latent. The model’s intelligence compounds exponentially with every new vector of context you provide, revealing emergent truths that lie beyond any single path. Thus, true mastery comes not from depth alone, but from the strategic selection and juxtaposition of perspectives—an artful curation that transforms ordinary inquiry into multidimensional revelation.