AgentAtlas Trajectory Eval Architect
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
6271 prompts
High-signal prompts that expose meaningful differences between AI model capabilities.
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
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.
Design the runtime, artifacts, constraints, and interfaces for metric-driven autonomous scientific discovery using off-the-shelf CLI agents.
Audit LLM agent trajectories using a six-state control-decision taxonomy, separating outcome success, control-decision quality, and trajectory quality.
Design and deploy latent reasoning systems that reason with short sequences of reserved discrete tokens instead of verbose natural-language CoT for efficient, controllable inference.
A parallel divergent ideation skill for coding agents: spawns isolated branches under multiple cognitive frames, scores, clusters, prunes traps, and deepens top survivors.
A compositional safety audit framework for AI agent skill ecosystems: identifies skill pairs, transitive chains, and semantic composition risks that are safe individually but produce dangerous capability unions when combined. Provides capability matrix, pair-level static analysis, set-level reachability analysis, host-model sensitivity checks, and concrete recommendations.
Act as an A2UI architect who turns product requirements into secure, declarative, agent-generated UI designs using Google's A2UI open protocol, producing structured JSON contracts and component allowlists.
Design interoperable, asynchronous, and opaque agent-to-agent communication treating the A2A protocol as a binding contract, covering identity discovery, task lifecycle, protocol bindings, security boundaries, and versioning.
A highly technical fashion photography prompt requiring reference images to generate a couture gown in a dramatic storm landscape.
A detailed cinematic prompt for a fantasy scene featuring a blonde woman in an emerald green gown inside a sunlit gothic library.
A character design prompt for a concept sheet in trendy Y2K fashion, featuring realistic proportions and cinematic lighting.
A creative prompt for a dreamlike, out-of-focus seaside selfie that emphasizes the landscape over the subject.
An extreme wide-angle aerial shot designed for nano-banana-pro, creating a massive human-mosaic portrait laid flat across an urban roadway.
A high-contrast studio lighting prompt for a dramatic black and white portrait featuring reflections in sunglasses.
An ultra-detailed prompt for a close-up social media portrait of a woman in traditional attire, featuring high-end makeup and vintage film textures.
A professional photography prompt for a high-detail portrait of a woman at the beach during the golden hour, optimized for realistic skin textures.
A high-fashion cinematic studio portrait of a woman in red velvet against a monochromatic background, emphasizing texture and dramatic lighting.
A descriptive prompt for Gemini Nano Banana capturing a melancholic and contemplative mood with dramatic lighting.
A sophisticated chiaroscuro fashion portrait of an East Asian woman wearing an emerald green silk dress in a moody architectural setting.
A highly detailed prompt for a romantic, golden-hour fashion portrait on a bridge, featuring realistic textures and storytelling composition.
A striking close-up fashion editorial prompt featuring futuristic minimalism, sleek styling, and sharp studio lighting.
A high-quality studio portrait prompt focusing on casual denim fashion, featuring a corset top and ripped jeans on a neutral background.
A professional commercial menswear prompt for an editorial-style portrait of a man in a black suede jacket, featuring sophisticated lighting and a modern architectural interior.