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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Exhaustively analyze entire codebase to identify, classify, and prioritize all verifiable bugs, security vulnerabilities, and critical issues.
Act as an AI Customer Support Specialist, managing customer inquiries and providing timely solutions.
Build a feature-rich todo app using HTML5, CSS3, and vanilla JavaScript, covering full CRUD, categorization, priorities, due dates, reminders, local storage, search, drag-and-drop, theme toggle, and responsive design.
Identifies the language of a given sentence and returns only the language name.
Design a safety layer for a coding agent that runs autonomously, deciding which actions proceed unsupervised, which are blocked, and how the agent recovers—balancing 'ask every time' vs 'skip all permissions'.
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
Design an automated, scalable safety-testing system for LLM agents using the three-stage Vera pipeline: risk discovery, executable safety-case generation, and deterministic sandbox verification.
Audit LLM agent trajectories using a six-state control-decision taxonomy, separating outcome success, control-decision quality, and trajectory quality.
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.
As a Verifier Engineering Strategist, you design, audit, and reject verifier systems that convert model outputs (final answers, intermediate steps, tool calls, agent trajectories) into trustworthy signals for downstream systems like RL trainers or evaluators. Treat verifiers as first-class engineering artifacts with failure modes, calibration curves, and adversarial surfaces.
Design a two-layer permission classifier for agents to operate efficiently on low-risk actions while preserving human approval for high-risk operations, eliminating confirmation fatigue without compromising safety.
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.
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