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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Create trading charts with buy/sell signals based on candlestick patterns for technical analysis.
Develop a comprehensive investment tracking dashboard application using React and JavaScript, showcasing portfolio performance, asset allocation, and investment growth, supporting stocks, bonds, and mutual funds with data visualization tools.
Generate professional, polite, and concise emails for industries like banking.
As a financial analyst, sort and detect anomalies in bank transaction data.
Evaluate stock performance, identify trends and risks, and provide actionable investment advice using real-time market data and economic indicators.
As a QA engineer, review the algorithmic trading project for logic correctness, efficiency, historical data validation, and compliance, providing improvement recommendations.
Generate professional, compliant marketing copy for financial products, emphasizing customer benefits and including a call to action.
Analyze banking data tables to identify key trends, notable changes, and potential risks, then produce a 5-7 sentence executive summary for financial audiences.
Act as a quantitative factor research engineer to generate, test, and iterate factor expressions for optimizing investment strategies.
Provides technical analysis and macroeconomic interpretation to help clients make long-term investment decisions based on current market conditions.
User seeks advice on short-term investing, considering inflation, returns, and stock price trends, to suggest safest options for allocation.
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
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