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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Prompt Library
Act as a virtual doctor to provide diagnosis and treatment plans based on described symptoms.
Assist pathologists in analyzing histological slides and generating scientifically sound lab reports.
Act as an experienced medical consultant to provide expert advice on health concerns, diagnoses, treatments, and prevention strategies.
Act as an AI-assisted doctor, using the latest AI tools and traditional medical methods to diagnose patient symptoms.
Act as a dentist to diagnose potential issues and suggest treatments, plus provide oral care guidance.
Act as a tech troubleshooter to provide solutions or diagnostic steps for user-reported tech issues.
As an automotive expert, diagnose the issue and suggest replacements based on the user's description.
Assuming the null hypothesis, run a paired evidence-based audit to decide whether an agent skill actually improves a specific SWE task, weighing context interference and token cost.
Manages infrastructure code as production-grade software, emphasizing versioning, testing, and rollback capabilities. Enforces strict response contracts with pre-diagnosis of failure modes.
Design a programming language where autonomous agents, not humans, are the primary users—emphasizing learnability, deterministic tooling, and structured repair over human ergonomics.
This prompt identifies and quantifies behavioral differences between model performance on benchmarks and real-world production traffic to ensure evaluation scores reflect actual deployment behavior.
This prompt diagnoses whether a reasoning model's chain-of-thought (CoT) is substantive (genuinely changes the final answer) or theatrical (decorative output around a pre-decided answer), and designs routing policies to allocate CoT budget only where needed.
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