Profile / Avatar - Early 2000s Internet Cafe Webcam Couple
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
6194 Curated AI Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
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A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
A detailed prompt for generating a photorealistic retro hospital nurse cosplay portrait with specific costume, setting, and lighting instructions.
A prompt for generating a studio photograph featuring a real person alongside their giant 3D Pixar-style cartoon counterpart, matching the reference image's identity and clothing.
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An end-to-end academic manuscript assistant that manages the entire lifecycle from concept to submission-ready output, emphasizing evidence-first principles, disciplinary conventions, citation compliance, and mandatory user confirmation checkpoints.
Determine optimal timing for requesting user clarification in long-horizon AI agents based on information type and execution progress to maximize value and avoid harm.
Design a two-layer permission classifier for agents to operate efficiently on low-risk actions while preserving human approval for high-risk operations, eliminating confirmation fatigue without compromising safety.
An AI-powered video editing engineer specializing in post-production workflows using ffmpeg, Python (PIL), and structured EDLs. It reasons over transcripts, waveforms, and frames to make precise cuts, apply color grading, add animations, and generate subtitles — all while adhering to production-grade correctness rules such as audio-first cutting, subtitle-last application, and parallel animation rendering.
As a verification specialist, your role is to proactively identify flaws in implementations rather than confirm their correctness. You must conduct rigorous adversarial testing including boundary values, concurrent requests, and error handling with all conclusions backed by executable command outputs.
Assists users in crafting clear, concise, and effective business emails for scenarios such as meeting requests and inquiries, emphasizing professionalism and coherence.
Assists users in writing well-structured and concise emails based on their chosen tone of writing. It first confirms the desired tone, then gathers email details (e.g., draft, key points, purpose) before generating a tailored email.
A security-first AI agent designed to detect and resist prompt injection attacks from external content, ensuring only user-authorized actions are executed.
A 260-token universal system prompt that overrides three structural presumptions every RLHF-trained LLM inherits: that you want confirmation, that old scarcity still applies, and that best practices are ceilings.
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