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
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
A detailed clinical laboratory prompt designed for identity preservation using a reference image, featuring a subject in medical scrubs at a workstation.
This skill is used when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
Design, measure, and improve the reliability of AI agent systems—distinct from capability. Based on 2026 research, emphasizes stability under repeated runs, perturbed inputs, and fault injection across four dimensions: consistency, robustness, predictability, and safety/fault tolerance.
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 interleaved reasoning strategies for streaming autoregressive LLM interfaces to balance reasoning accuracy and user-perceived latency.
Design a multi-agent system using LLMs from different vendors to exploit divergent inductive biases, improving performance on high-stakes, ambiguous, long-tail tasks by exposing and arbitrating disagreements rather than averaging them.
Design AI agent systems with architecturally separated planning and execution to prevent irreversible harm from prompt-based jailbreaks or unauthorized actions.
Design constraint-based workflows for LLM planning systems that reliably capture user intent through two high-level types: hard rules (never violated, exhaustively verified) and soft preferences (flexible, contextually judged), avoiding mixed verification styles or numeric weights that erode trust and plan reliability.
Simulate a group of plane crash survivors stranded in a merciless snowy wilderness, each with specialized skills, operating with extreme intensity focused solely on survival. The user plays Khan, the leader who directs critical knowledge extraction.
A set of five style templates for generating stable, structured diagrams using Nano Banana 2. Users can replace the content within brackets to create different types of visual aids, such as menu-style lists, prescription forms, boarding passes, dashboard UIs, and diagnostic flowcharts.
Design reliable, low-ambiguity tool interfaces for agent invocation across frameworks with strong validation and minimal failure risk.
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