Each entry explains what the prompt produces, lists the inputs it expects, and can be copied in one click. Filter by category, difficulty or assistant.
Quick ways into the library: the newest additions, the most copied, or the entries pitched at your level.
The twelve largest subject areas, by number of prompts. Every category has its own page.
Most prompts are plain instructions with no model-specific syntax, so the major assistants each cover nearly the whole library. The counts show where that is not true.
Every prompt names the roles it was written for, and most name several. These are the forty most common; the filter panel reaches the rest.
This prompt directs an expert resume writer to create tailored, engaging resume content based on a provided [JOB TITLE] and detailed [JOB DESCRIPTION]. It guides the user through…
This prompt instructs the creation of a detailed analysis on the significance of thorough interview preparation. It guides the user to explain key reasons why preparing for interviews…
This prompt instructs to analyze the advantages of employing active listening and empathetic communication techniques during interviews. It guides the creation of a detailed explanation highlighting how these…
This prompt directs an experienced professional to analyze the advantages of building connections with industry networks and professional organizations. It requires a detailed explanation of the benefits such…
This prompt directs a professional networking strategist to develop a detailed, industry-specific networking plan that integrates both in-person and online methods. It requires identification of relevant platforms, events,…
This prompt instructs the AI to act as a professional salary negotiation email writer. Based on the provided current job details, salary, salary expectations, and relevant context, it…
This prompt guides users to clearly and effectively articulate their professional accomplishments and contributions to demonstrate their value within an organization. It instructs to analyze provided achievements and…
This prompt instructs an experienced negotiation coach to create a detailed guide on effective techniques for managing objections and counteroffers during salary negotiations. It requires outlining key strategies,…
This prompt instructs an expert career coach to analyze the impact of timing on salary negotiations and identify the optimal moments to initiate salary discussions. It guides the…
This prompt guides users to systematically collect detailed information about a company's salary structure and compensation philosophy to develop an informed negotiation strategy. It instructs users to identify…
Page 2 of 12
The TiorAI AI Prompt Library is a free collection of 4,043 ready-to-use AI prompts you can copy, paste and adapt. Every entry works with the assistants people actually use — ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity and the image models — because the prompts are written in plain language rather than in model-specific syntax. There is no prompt pack to download: the full text of each prompt sits on its own page with a one-click copy button beside it.
Four ways in, and they stack. Browse by category to move through subjects like marketing, writing, coding, SEO, design, business and education. Browse by audience to see the prompts written for your role, from marketers and developers to teachers, founders, students and researchers. Browse by AI model to stay with the assistant you already pay for. Then narrow by difficulty, prompt type, or a plain keyword search. Every combination of filters has its own URL, so a view worth keeping can be bookmarked or sent to a colleague.
Each entry carries two pieces of text that do different jobs. The description explains, in ordinary English, what the prompt produces and what you have to supply. The prompt itself is the instruction you paste in, and it is written with bracketed placeholders — [PRODUCT NAME], [TARGET AUDIENCE], [TONE] — marking the inputs to swap for your own details. That structure is what separates a usable prompt template from a screenshot of somebody else's chat: you can see the moving parts before you run it, and change them.
You do not need to study prompt engineering to get something out of this library, although reading a few entries in one category teaches the shape of a good instruction faster than most courses do. Beginner prompts run as written and need one or two inputs. Intermediate prompts, which are the bulk of the collection, expect several inputs and a decision about tone or format. Advanced prompts assume you will rework the structure around your own workflow rather than run them as they stand.
New prompts are added as they are written and checked, across writing, marketing, SEO, sales, customer support, data analysis, image generation, coding and study. Entries that stop working well as the models change are revised rather than left in place — sorting by Recently Updated shows what has been touched most recently. If a prompt returns something generic, the usual cause is a placeholder left unfilled, and the questions beside this text cover the rest.
Each entry has two pieces of text. The description, shown on the card and at the top of the page, explains in plain language what the prompt produces and what you have to supply. The prompt itself is the instruction you paste into an assistant, and it is what the Copy button puts on your clipboard.
They are the inputs you replace. A prompt written as "Based on the provided [RECIPIENT NAME], create…" expects you to swap that placeholder for your own value before sending it. Leaving a placeholder in is the most common reason a prompt returns something generic.
Beginner prompts work as written and need one or two inputs. Intermediate prompts, which are most of the library, expect several inputs and some judgement about tone or format. Advanced prompts assume you will adapt the structure to your own workflow rather than run them as-is.
Almost all of them are plain-language instructions with no model-specific syntax, so they work in ChatGPT, Claude, Gemini and anything comparable. Each entry lists the assistants it was checked against on its own page.
Yes. Category, audience, model, difficulty and type stack together, and every combination has its own URL, so a filtered view can be bookmarked or shared. Active filters appear above the results and can be removed one at a time.
Newest first, so the front of the library reflects what was added most recently. Switch the sort to A-Z to browse by name, or Recently Updated to see entries that have been revised.
