4 prompts
Build a minimal web chatbot in [stack] that calls the [AI provider] API. Include a chat UI, conversation history, a system prompt for [use case], streaming responses, API key stored in environment variables, and basic rate limiting.
A minimal chatbot app that calls an AI model API.
Write a system prompt and code in [language] that makes an LLM extract [fields] from [input type] as valid JSON matching this schema: [schema]. Include validation, a retry if parsing fails, and handling for missing data.
Reliably gets valid JSON from an AI model in your app.
Create a checklist to make [website/brand] more likely to be cited by AI search tools and chat assistants. Cover clear entity information, structured data, concise answer-first content, original data, authoritative mentions, FAQ formatting and freshness. Prioritise actions for a small team.
Helps your content appear in AI search answers and chatbots.
You are an engineer who builds production AI features. Feature idea: [e.g. summarise support tickets, auto-tag products] Stack: [details] Data involved: [types, sensitivity] Design: the prompt and system instructions, input/output format (JSON schema), handling of errors and timeouts, cost and latency considerations,…
Plan and build an AI feature, such as summarising, classifying or a chat assistant, with good prompts and guardrails.