Support Chat Reply JSON
Answer a support message from supplied knowledge with response, mood, categories, suggestions, and agent-routing fields in JSON.
AI prompts.
316 prompts · 261–280
Answer a support message from supplied knowledge with response, mood, categories, suggestions, and agent-routing fields in JSON.
Turn support escalation rules into a decision tree and an agent cheat sheet.
Rank support ticket subjects by urgency with JSON scores.
Cluster open-ended survey responses into themes with JSON output.
Describe a swimlane process diagram from a list of steps and roles.
Generate a realistic CSV dataset with clear headers, consistent types, and at least ten data rows.
Write a system architecture document with clear, structured sections.
This prompt is a system prompt for a coding agent asked to fix an issue in an open-source repository. It lays out the work order: understand the issue, explore the code, plan, make small changes, debug, test, and confirm the fix. It comes from OpenAI's GPT-4.1 prompting guide and points to a /testbed folder you should swap for your repo path.
Rewrite a resume to mirror a job description with quantified bullets and ATS-friendly language.
This prompt writes a technical summary of a full research paper. It covers the title and authors, the main goal, the approach, what sets it apart, the experiments and results, strengths and limits, and the conclusion.
This prompt reads a home rental lease from the renter's side and returns JSON. It pulls out key terms, quotes clauses that are risky or unclear, totals move-in and yearly costs, notes what is missing, and lists changes to ask for before signing. It is not legal advice.
Rewrite advanced text for grades 3–5 using shorter sentences, simpler vocabulary, and clear explanations.
Work through spreadsheet logic in a text-based Excel sheet with formulas and cell references.
Generate three short, specific outbound email openers from a product brief and recipient context.
Brainstorm TikTok launch hooks grouped by problem, demo, myth-bust, POV, and duet angles.
This prompt turns the transcript of a YouTube video into a summary split into headed sections, each tagged with the time it starts. It opens with a short overview and ends with a takeaway. Paste the transcript at the end of the prompt.
This prompt writes a short title and ten hashtags for a Shorts clip you attach. The answer comes back as a small Python-style dictionary with two keys, one for the title and one for the tags.
Generate title options for an article or essay draft.
Classify text across five topics and return category scores with the highest-scoring label in JSON.
Map messy JSON to a reference schema, translate values to English, and format dates.
A prompt is the text you give a language model so it generates a useful response — instructions, examples, constraints, and your content. Prompt engineering is the craft of writing those instructions clearly. This directory hosts ready-to-copy prompts on the page.
Open a prompt, copy the text, paste it into Claude, ChatGPT, Grok, Gemini, or another chat, fill the placeholders, and send. No account is required on this site.
A prompt is copyable chat text. A skill is an agent pack, often a SKILL.md folder. A method is one way to solve a use case on Can AI? — it might be a prompt, skill, agent, tool, or stack. The same prompt can appear here and as a method on a use case.
Yes. The prompt text is on the page. If we show a source credit, keep that credit. There is no paywall in front of the text.
Someone submits a prompt, or it arrives as part of a method on a use case. An editor publishes it. There is no paid placement.
Standalone prompts for writing, research, coding, ops, and other outcomes, tagged with the same sitewide categories as the rest of the directory so you can browse by area.