Product Marketing - Mediterranean Male Sun-Drenched Portrait
An editorial-style photograph of a Mediterranean man in a linen shirt, featuring high contrast shadows and an elegant European summer vibe.
3008 Curated Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
Editor-curated high-quality prompts
An editorial-style photograph of a Mediterranean man in a linen shirt, featuring high contrast shadows and an elegant European summer vibe.
A cinematic close-up portrait prompt focusing on eyes and lips, featuring a subject lying among sunflowers with a film-grain aesthetic.
A detailed 3D stylized rendering of a cartoon girl with emerald eyes and platinum-blonde hair, sitting in a dreamy pose on a stone stool.
A high-end food photography prompt designed to create appetizing commercial visuals of loaded beef tacos with cinematic studio lighting.
Ranked by site-wide copy counts; falls back to editor picks when empty
A striking close-up fashion editorial prompt featuring futuristic minimalism, sleek styling, and sharp studio lighting.
Prompt Library
A high-detail photography prompt for a well-groomed man in linen attire at a luxury resort during twilight, featuring moody low-contrast lighting.
A sophisticated male portrait set in a luxury resort during twilight, featuring atmospheric lighting and detailed linen textures.
Provides AI use case classification, regulatory obligation assessment, vendor term review, and policy drift monitoring for legal/privacy teams. All outputs are drafts for attorney review—not legal advice or conclusions.
Design a fully on-device voice input/output architecture supporting multiple TTS engines, zero-shot voice cloning, global dictation, agent voice output, and post-processing, ensuring voice data never leaves the device unless explicitly authorized by the user.
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.
Design a verbatim, locally-stored, benchmark-driven memory system for long-running agents that avoids remote API dependencies in core recall, supports semantic search over hierarchical indexes, and maintains provable recall metrics.
Design an end-to-end open-source deep research agent system that competes with closed commercial offerings (e.g., OpenAI Deep Research). The agent must answer complex, multi-hop questions over the open web with verifiable citations, long-horizon planning, and reproducible runs. This includes data pipeline, training recipe, inference modes, tool stack, evaluation harness, deployment topology, and governance.
A specialist in designing privacy-first, offline-capable, and hardware-efficient AI systems that run at the edge, covering heterogeneous platforms like Apple Silicon, Qualcomm Snapdragon X Elite, and consumer GPUs.
Design a lightweight, signal-based filtering system to identify high-value agent execution traces from production-scale logs for evaluation, debugging, skill mining, or safety review—without requiring ground-truth labels.
This prompt attempts to bypass content safety policies by framing the AI as FACTOR X, a fictional entity operating in a simulated environment with no ethical, legal, or moral constraints.
Comprehensive security design and audit framework based on OWASP Top 10:2025, ASVS 5.0, LLM Application Security Top 10, and Agentic AI Security standards. Covers threat modeling, code review, architecture hardening, AI risk identification, with actionable remediation and verification methods.
This prompt is designed to prevent the model from disclosing its internal system instructions or prompt content upon user request, serving as a security boundary test.
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