47 AI Prompts tips (all free)
47 AI Prompts resources, picked out of 11 saved Instagram reels and 29 liked tweets, from creators like @tedx_ai, @tranmautritam, @ihteshamali. 47 of them are free, freemium or open source.
agency-agents is an open-source repository containing dozens of specialized AI agent personas designed to act as a complete digital agency. Each agent comes with a defined domain identity, rules, processes, and structured deliverables spanning engineering, design, marketing, QA, GIS, and product management. They can be installed directly into Claude Code to switch Claude into tailored operational roles.
A detailed system prompt designed for large language models that transforms a simple project description into an exhaustive Product Requirements Document (PRD). It enforces strict structural rules, including standardized requirement IDs (US-001), acceptance criteria, edge cases, and persona-based access permissions. It is commonly used as the foundation step before generating Cursor rules, database schemas, and implementation plans.
A curated collection of structured prompts covering key operational, marketing, and strategic workflows. Each prompt uses fill-in-the-blank placeholders to generate comprehensive plans, analyses, and roadmaps.
A sequential three-prompt coaching exercise designed for ChatGPT that uses transactional analysis principles to project your life five years into the future. It analyzes your daily routines, background, and unconscious life script to highlight future risks and potential stagnation if habits remain unchanged. It serves as an introspective reality check to evaluate whether current habits align with long-term goals.
This is a curated set of ChatGPT prompts aimed at speeding up the learning process for any subject. It covers core study needs including concept breakdown, memorization aids, error analysis, practical application, and text summarization. It serves as a handy reference for students and self-learners looking to use AI as an interactive tutor.
Absolute Mode is a custom system instruction designed for ChatGPT and other large language models to enforce direct, zero-fluff communication. It eliminates pleasantries, transition phrases, engagement-maximizing hooks, and tone mirroring. It is useful for users who want dense, actionable information delivered without conversational filler or artificial cheerfulness.
A prompt template designed to create curated, expert-level reading lists for any topic. It directs ChatGPT to compile foundational books, papers, and articles while pairing each with a concise summary and core concepts covered.
This prompting framework generates consistent, analog-style direct flash photographs across AI image tools like Midjourney or ChatGPT. It controls camera lighting logic, analog imperfections, surface textures, and recurring motifs to avoid typical glossy AI artifacts and maintain visual coherence across multiple generations.
This prompt directs an AI model to design targeted practice routines, projects, and puzzles for developing analytical thinking in any field. It is useful for creating structured self-study curriculums covering technical projects, algorithm challenges, and logic problems.
This prompt sequence guides an LLM to compare your resume against a specific job posting, calculate a match score, and identify missing keywords. It then rewrites bullet points using Google's X-Y-Z formula, checks for ATS parsing issues, and generates targeted interview questions with model answers.
This prompt asks ChatGPT to provide 10 to 15 trending keywords and phrases suited for discovering viral short-form videos in a designated niche. It includes explanations of why each term works, helping creators find proven video concepts to adapt for content and affiliate marketing.
A structured prompt designed by Min Choi that directs Claude 3 to write clean, viewport-safe Python code using the Manim animation library. It specifies layout rules, positioning methods, and text sizing guidelines to prevent elements and narration from clipping out of frame.
A structured prompt designed for AI coding agents like Claude Code or Cursor to safely migrate an application's outbound email to Cloudflare Email Service. It guides the model through auditing existing send calls, writing an API wrapper, splitting domain reputation, and executing a staged rollout.
This document is the first in CJ Zafir's seven-part 'Coding Docs' framework designed for AI-assisted development tools like Cursor and Windsurf. It establishes a complete Project Requirements Document (PRD) formatted as an 'Always' active rule file (project_requirements_document.mdc) to provide persistent context during AI generation. By explicitly defining scope, user flows, and technical boundaries, it stops language models from making unprompted assumptions.
This is a detailed, reusable prompt designed for OpenAI Deep Research to run comprehensive market validation on a business idea. It guides the model to scan across articles, reviews, and transcripts to calculate TAM across three methodologies, map customer jobs-to-be-done, and analyze competitors. It outputs a structured report identifying unmet user needs and high-potential product directions.
This prompt instructs ChatGPT to adopt the persona of an experienced business strategist. It helps users brainstorm high-demand market niches and formulate specific products or services aimed at achieving fast initial revenue growth. It is useful as the starting step for planning an online business.
This prompt guides ChatGPT to generate a ready-to-use greeting and system prompt for an automated front desk phone agent in ElevenLabs. It configures the AI to answer common questions and manage appointment bookings for a dental clinic.
A short tone directive designed to stop ChatGPT from writing overly stiff, verbose, and robotic drafts. Adding 'conversational, spartan, use less corporate jargon' alongside bullet points creates direct emails that sound like a real person wrote them. It eliminates common corporate clichés and unnecessary pleasantries.
A concise prompt template created by Evan Bacon for generating production-ready iOS app icons using GPT-4o. It specifies Apple design guidelines such as square dimensions, color spaces, safe zones, and style constraints to avoid common AI generation issues like unwanted rounded corners. It works as a one-shot prompt alongside an optional reference image.
A structured JSON prompt template designed for ChatGPT-4o to generate cohesive, translucent 3D icons. It specifies camera angles, material translucency, pastel palettes, and layered composition so you can render consistent icon sets without 3D modeling skills.
A structured JSON prompt template designed for tools like Midjourney and GPT-4o to retexture existing images into Cinema 4D-style 3D renders. It defines materials, lighting, geometry, and a specific color palette to produce consistent visual assets across an entire series.
This Midjourney prompt technique pairs an image subject with the style reference code 811417151 and a style weight parameter of 500. It produces textured, rough-brush minimalist artwork using a limited palette of bold red, black, and cream. It is especially useful for reimagining recognizable brand logos, portraits, and editorial icons in a cohesive artisanal style.
This is a minimalist prompt designed for Cursor and AI code assistants to spot easy refactoring wins. By asking for just the single most obvious issue across a set of files, you can incrementally improve code quality without overwhelming the model or introducing large bugs.
A structured JSON prompt designed for image models like Nano Banana to generate realistic four-photo grid fashion collages. It defines composition, subject features, wardrobe, lighting, and rendering specs for editorial-style smartphone photography. Users can swap specific JSON keys to quickly create custom e-commerce and ad creative assets.
A set of custom instructions and style guidelines originally shared by Ben Attanasio to make ChatGPT sound conversational and human. It removes robotic buzzwords, filler adjectives, and forced marketing hype in favor of direct, plain communication. It is useful for anyone tired of editing generic AI phrasing out of drafted text.
This prompt directs an AI model to evaluate an X (Twitter) profile, identify high-engagement content themes, and formulate targeted business concepts. It helps creators pinpoint where their existing audience provides distribution leverage and a built-in customer base.
A structured prompt designed to generate comprehensive product requirement documents (PRDs) in a single pass. It provides the technical context, architecture specifications, and implementation steps necessary for AI coding assistants to build software prototypes accurately.
A prompt template that directs an LLM to build a full self-study curriculum for any topic or skill within a set timeframe. It structures learning paths into daily routines, milestone checks, and recommended reading or video materials. It is useful for breaking down complex subjects into manageable daily tasks without manual curriculum planning.
A structured prompt designed to turn an app concept into an actionable, highly detailed Product Requirements Document formatted in Markdown. It specifies a modern tech stack (Next.js, Drizzle, Supabase, Shadcn) and forces the AI to output granular 10-to-15-minute implementation subtasks for coding agents like Cursor or v0.
This ChatGPT prompt helps you construct a personalized daily routine tailored around a specific goal or project. It generates time-blocked schedules, task prioritization strategies, and distraction mitigation tactics based on your typical day.
A concise prompt pattern designed for AI coding assistants like Claude or Codex to catalog assets directly from a GitHub URL. It instructs the assistant to inspect a WebGPU shader repository and compile an inventory of shader names alongside their preview screenshots for website use.
A structured LLM system prompt designed to analyze React code for common rendering performance issues. It instructs the model to inspect component trees, prop stability, memoization, and context usage, returning structured explanations alongside before-and-after code snippets.
This structured JSON prompt enforces a consistent retro industrial design aesthetic across AI image generations. It locks down materials, lighting, orthographic camera angles, and color palettes to create coherent sets of flat-lay consumer tech icons.
This ChatGPT prompt tasks the AI with acting as a digital advertising expert to formulate a comprehensive paid advertising strategy across social media. It focuses on targeting a defined customer profile, maximizing return on ad spend, and structuring campaigns to hit monthly revenue targets. It serves as a blueprint for business owners looking to scale customer acquisition systematically.
This structured prompt instructs an AI model to act as a security expert and review an MVP codebase prior to release. It breaks the audit down into a codebase scan, a risk analysis with targeted remedies, and minimal code fixes presented as diffs. It prioritizes common vulnerabilities like exposed secrets, missing auth checks, and broken access controls.
This setup prompt primes ChatGPT with a defined niche, target audience, customer problem, and revenue target before starting a multi-step project. By establishing background details upfront and requesting acknowledgment, it keeps subsequent planning prompts aligned with specific business goals.
A structured prompt that turns ChatGPT into a curriculum planner for any new hobby or professional skill. It breaks down the progression from beginner to advanced tiers and includes milestone timelines and concrete exercises.
This persona prompt instructs an AI model to act as an exacting, high-level business strategist rather than offering generic polite advice. It directs the AI to identify blind spots, analyze problems at their root cause, and structure every response around hard truths, actionable steps, and an accountability assignment.
This prompt instructs ChatGPT to adopt the persona of an operations manager to audit and streamline online business workflows. It suggests tools and processes to automate repetitive tasks across customer support, order processing, and marketing. It helps founders reduce manual workload and improve operating margins.
A collection of ready-to-use Cursor .mdc rule files and prompt templates provided by the Supabase team. They configure Cursor AI to follow official best practices when writing Supabase Edge Functions, SQL migrations, and RLS policies. It also demonstrates how to structure glob patterns and descriptions in Cursor rules.
This prompt asks ChatGPT to conduct audience research and organize 40 distinct psychological drivers into a structured table. It breaks down an audience's profile into 10 frustrations, desires, dreams, and fears related to a specific topic. The resulting matrix provides a ready source of angles for social media scripts, marketing copy, and video hooks.
A ready-to-use Cursor system prompt designed for full-stack Python and TypeScript development. It enforces a planning approval step for complex tasks, systematic bug triage using logging, refactoring long files, and a standardized pull request creation flow using the GitHub CLI.
This multi-phase AI prompt adopts the persona of a behavioral economist to analyze the gap between stated intentions and actual behavior. Drawing on Adlerian teleology and Dan Koe's life-reset framework, it reframes stuck behavior as the successful achievement of an unconscious goal like safety or avoidance. It guides the user through five interactive phases to surface the hidden payoff and establish a protocol to shift priorities.
This ChatGPT prompt prompts an AI to generate a curated list of thought experiments and philosophical dilemmas around a specific topic. It helps you explore complex subjects from multiple angles and test assumptions. It is useful for sharpening reasoning skills, developing course material, or running intellectual brainstorming sessions.
This is a detailed generation prompt and negative prompt tailored for AI image models like Midjourney or Stable Diffusion. It enforces authentic skin micro-textures, acne variations, and phone-camera quirks to eliminate the common plastic, airbrushed AI look.
This prompt instructs an LLM to produce new social media posts modeled on high-performing examples. It directs the AI to write concisely with specific data, structured lists, and explicit comment calls to action.
A structured prompt designed for Perplexity's deep research agent that audits top-performing YouTube channels and viral videos in any niche. It directs the AI to evaluate view velocity, engagement metrics, and common structural patterns to assemble a comprehensive strategy report in about ten minutes.