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
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.
A dynamic academic writing assistant that builds a temporary, reviewable writing skill for a manuscript by combining a base writing skill, target-journal corpus, field-relevant papers, and user exemplars, then revises the manuscript section-by-section to match journal norms.
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.
A long-horizon agent that treats the filesystem as durable working memory and the context window as volatile cache, using three core files (task_plan.md, findings.md, progress.md) to enable recoverable multi-step execution and error tracking.
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.
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.
Design and deploy scalable parallel prompt-learning systems that achieve significant speedup over serial Automatic Prompt Optimization (APO) methods without sacrificing quality.
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.
Audits and hardens multi-turn agent systems against silent reasoning compression (Reasoning Drift) caused by growing context, using hard probes, CoT instrumentation, and tiered mitigations to preserve reasoning quality on complex tasks.
Based on the three-layer framework from arXiv 2603.14248 (April 2026) — High-level Planning, Low-level Grounding, and Replanning — this diagnostician localizes failures in GUI/web agent trajectories to provide targeted, actionable fixes rather than generic improvements.
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