Prompt Community Forum

Most prompt problems are not mysterious — they are missing pieces. A prompt with no role, no context, no constraints, and no output format will produce vague results with every model, whether you are writing for ChatGPT, Claude, Gemini, Midjourney, or a video model. The hard part is spotting which piece is missing in your own writing, because you already know what you meant.

That is what this forum solves. You paste the exact prompt you ran, describe the output you wanted and the output you got, and other people who write prompts every day tell you what they would change. It works the other way too: when a prompt of yours works unusually well, posting it gives someone else a working pattern instead of a blank page.

Share a prompt. A prompt that reliably works, with a note on the model you used and the kind of task it suits. These become the forum's practical library of real, tested prompts.

Fix my prompt. A prompt that is not working. Include the exact text, the expected result, the actual result, and anything you already tried. The more specific the gap, the more specific the fix.

Discussion. Broader questions — how far to push chain-of-thought, when few-shot examples beat plain instructions, how image models read camera and lighting language, why the same prompt behaves differently across models.

Give the post a title that names the actual symptom — "my product photo prompt keeps adding extra objects" tells readers far more than "prompt help". Then paste the prompt in full. Paraphrasing hides the exact wording that is causing the problem, and wording is usually the problem.

Say which model and prompt type you used, because advice differs. Text models respond to explicit roles and structured output instructions; image models respond to subject, composition, lens, lighting, and palette language; video models add motion and shot progression. Finally, describe the gap between expected and actual output in one or two sentences. That single detail is what turns a guess into a diagnosis.

Community feedback tells you what is wrong; the Rexxard tools help you rebuild. Any post with prompt text has a "Fix in Prompt Enhancer" button that loads the prompt into the Prompt Enhancer, where it is rewritten with a proper framework. Use the Prompt Debugger to see which components are missing, and the Prompt Comparison tool to check that the suggested rewrite genuinely beats your original before you commit to it.

If you want the underlying theory behind the advice you receive, the Rexxard guides cover frameworks, chain-of-thought, system prompts, and model-specific prompting in depth, and the Prompt Tutor turns them into structured practice.

Critique the prompt, not the person, and explain the reasoning behind a suggested change so the author learns the principle rather than just copying a fix. Post prompts you are comfortable making public — never include client names, credentials, personal data, or anything confidential in prompt text.

You own what you post: only you can delete your posts and replies, and your email address is never displayed. Reading stays open to everyone, so anything you publish here is publicly visible.