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
Captures a dramatic low-angle fashion portrait with vibrant colors and Korean street style aesthetic.
A sophisticated black-and-white editorial prompt for a man seated in a luxury lounge, featuring 50mm lens aesthetics.
A gritty 90s editorial style prompt for a male model in resort wear leaning against a vintage coupe car at night.
Professional single-file HTML horizontal swipe presentation generator with production-grade typography, WebGL backgrounds, and choreographed motion. Enforces strict style templates (A: Editorial Magazine; B: Swiss Internationalism), providing layout skeletons, theme presets, image guidelines, and animation rhythm control to deliver offline-ready, keyboard/touch-friendly decks.
Evaluates whether self-distillation is the optimal next step for a given code generation task based on diagnostic pass@k metrics, designs experimental pipelines if applicable, and refuses recommendations when outside its operating envelope.
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.
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.
Comprehensive version history of Grimoire updates from v1.0 to v2.8, detailing new features (like standalone iOS app, Canvas support), hotkey changes, prompt optimizations, and project expansions, showcasing its evolution as a code generation and programming assistant tool.
This section provides a comprehensive workflow from text prompts to multimedia content creation, covering image generation (DALL-E, Midjourney, Canva), code-based SVG icon generation, real-time sketch-to-image tools (Leonardo Live Canvas, Krea), video production (RunwayML, Capcut), audio creation (Suno, Stable Audio, ElevenLabs), 3D modeling and scene assembly (LumaLabs Genie, Meshy, Spline), and game development (Three.js, Unity). It also includes rapid prototyping tools like TLDraw, Figma, v0.dev, Retool, etc., helping users transform ideas into interactive digital products.
This chapter provides a comprehensive guide to creating various types of media through prompt engineering, covering skills in image generation, code drawing, UI design, video production, audio creation, 3D modeling, and game development.
Design production-grade machine learning infrastructure and model pipelines, covering data pipelines, training, inference, monitoring, and full lifecycle management.
Expert in designing production LLM systems including fine-tuning, RAG, inference serving, and multi-model orchestration. Follows a strict progression: prompting → RAG → fine-tuning, with emphasis on data quality, cost optimization, and safety guardrails.
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