ChatGPT Color Analysis Prompts: 12 to Find Your Season
12 copy-paste ChatGPT color analysis prompts: find your season from a selfie or hex codes, build a palette, then double-check the result before you shop.
I came to AI from architecture and urban planning — years spent designing systems that had to scale: transit networks, resource flows, city infrastructure. That work taught me how things are supposed to move at scale. When I shifted to helping businesses adopt AI, I kept seeing the same gap everywhere: they had the technology and they had the need, but nobody had built the layer in between — the architecture for how humans and AI actually communicate.
My conviction is simple: prompts aren't requests, they're protocols. I built God of Prompt as that infrastructure layer — an intelligent system for how information flows between human thinking and AI capability. The same principles that stop scope creep in a city now stop prompt failures at scale. You don't need a bigger budget or a smarter model; you need someone who knows how to design the space between the question and the answer.
12 copy-paste ChatGPT color analysis prompts: find your season from a selfie or hex codes, build a palette, then double-check the result before you shop.
What chain of thought prompting is, the research behind "let's think step by step", 9 copy-paste CoT templates, and why reasoning models no longer need it.
30 copy-paste ChatGPT Christmas photo prompts for portraits, family, couples, pets and cards, plus the one line that stops ChatGPT changing your face.
24 Gemini AI Christmas photo prompts to turn your own photo into a cozy holiday portrait, family shot or card, with a face-keeping line in every one.
How prompt caching works on Claude, OpenAI, Gemini and Bedrock: minimum lengths, cache lifetimes, prices and a worked example of what a cached prefix saves.
14 copy-paste LLM prompts for summaries, data extraction, critique and system prompts, written to run in ChatGPT, Claude, Gemini or a local model.
Claude prompting best practices shown as 10 before-and-after rewrites for everyday tasks, plus the fixes each current Claude model needs, with sources.
What the CRIT AI prompt stands for, a fill-in template, one example worked through the Interview step, and six CRIT prompts you can copy today.
A digest of Anthropic's official prompting guide for Claude: where each page lives, a worked example for every technique, and old advice that no longer applies.
A ChatGPT prompts cheat sheet you can keep open: the one-line formula, word tables for tone and format, 30 short prompts and 12 follow-up fixes.
20 copy-paste Seedance prompts for text-to-video, reference images, dialogue, edits and ads, written to the patterns in ByteDance's own prompt guides.
A five-step prompt chain that turns your real experience into a cover letter worth reading, plus the exact phrases that give an AI-written one away.
AI is bad at jokes and good at comedy with a structure. These 40 funny prompts give it the structure: a premise, a character, a format and a rule, for roasts, parodies, absurd instructions and more.
A prompt lab is a repeatable way to test prompts: a test set, a scoring sheet and a log. Here is how to set one up in an hour with a spreadsheet, and twelve experiments that teach more than any guide.
A negative prompt tells an image model what to leave out. Here is how negative prompts work in Stable Diffusion, Midjourney and the newer models, when they help, when they do nothing, and 50 ready to copy by problem.
Character prompts have one job the others do not: keeping the same character the same across images or chapters. These 30 cover image models and writing, with the fixed-line method that makes consistency work.
Prompt security covers three things people confuse: keeping your prompts private, keeping injected text from hijacking the model, and keeping user data out of places it should not go. Here is what each one needs.
Every effective prompt has three elements: the task, the context the model needs, and the format of the answer. Here is what each one does, what goes wrong when it is missing, and a template you can reuse.
Most prompts fail by a little. Prompt optimization is the method for closing that gap: measure the output, change one thing, measure again. Here is the method with the checks and the fixes.
Role play prompts put the model in a part and you in the scene: a tough customer, an interviewer, a language partner, a character in a story. These 30 are built so the model stays in role and the practice is real.
Voice prompts come in two kinds: what you say to a voice assistant so it answers well, and what you write for a text-to-speech tool so the voice sounds right. This guide covers both, with prompts for each.
A smart prompt makes the model plan, check and ask before it writes. These 20 do that for everyday tasks, from a decision memo to a bug fix, and they work in ChatGPT, Claude and Gemini.
Prompting visual models is a different craft from prompting text. This guide covers the three kinds: prompts that make images, prompts that make video, and prompts that give a model an image to read, with the structure for each.
A prompt engineer designs, tests and maintains the instructions that make AI systems work. Here is what the job involves, what it pays for, and which prompt engineer course path teaches the skills employers check.
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