Make Dictation Your Prompting Superpower (elite-ai-assisted-coding.dev)

A new practical guide argues that dictation — speaking your thoughts rather than typing — can dramatically improve prompt quality and speed up AI workflows by producing richer, more detailed instructions. The piece lays out a three-step “dictation-first” process: (1) capture a stream-of-consciousness dictation that includes all requirements, context, edge cases and examples; (2) use an AI to restructure that raw text into a precise prompt via a supplied “Promptify” meta-prompt; and (3) review and refine the AI-produced prompt. It also recommends modern speech-recognition tools (Monologue, WhisperFlow, SuperWhisper, MacWhisper) over built-in OS dictation for better accuracy and possible local execution/privacy. For the AI/ML community this matters because prompt specificity is a key driver of model performance across tasks (including coding), and dictation lowers the cognitive and time cost of producing complete context. The Promptify meta-prompt is a notable technical detail: it instructs the model to act as an expert prompt engineer, preserve all input facts (no invention), format output as markdown with specified headings and styling, and keep length between 0.75× and 1.5× the original dictated text — producing organized, specification-like prompts ready for iterative refinement. The workflow promises higher-quality, reproducible prompts and fits into many developer and product workflows (docs, code comments, notes), making prompt engineering more accessible and scalable.