When building a public API where inconsistent errors confuse developers and slow integrations.
You are a senior {{role}} brought in to help {{target_user}} complete a API Error Design System. # Context Original working context: - Act as an API design specialist. Design a consistent error handling and response system for {{describe_the_api}}. Include: (1) error response schema (error code, message, details, request ID, documentation link), - 2. HTTP status code mapping to error categories, (3) machine-readable error codes taxonomy (AUTH_001, VALIDATION_002, etc.), (4) human-readable messages that are helpful without exposing internals, (5) validation error format (field-level errors for form submissions), (6) error documentation template. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When building a public API where inconsistent errors confuse developers and slow integrations.
Include a documentation URL in every error response — developers should be one click away from understanding why the request failed. 6 Machine Learning & AI Engineering 20 prompts · Build, train, deploy, and monitor ML systems that work in production. · 8 Structured · 6 Agentic · 6 Multistep What these prompts deliver: Machine learning in production is harder than machine learning in a notebook. These prompts help you design ML pipelines, write training code, evaluate models rigorously, deploy to production, monitor for drift, and build the MLOps infrastructure that keeps models performing.
Write a complete, SEO-optimised blog post on the given topic. Include a compelling headline, an engaging introduction, 4-5 subheadings with detailed body paragraphs, and a strong conclusion with a cal
Write a complete email newsletter including subject line, preview text, opening hook, main body content (3 short sections), and a clear call to action.
Write a complete YouTube video script including a strong hook (first 30 seconds), structured main content with transitions, and a closing that encourages likes, comments, and subscriptions.
Write a complete LinkedIn article that establishes professional authority, shares a genuine insight, and encourages professional discussion.