AI workflow
AI Prompting with Voice
Voice prompting works best when structure is explicit. By separating objective, context, constraints, and output format, you can dictate high-quality prompts quickly and consistently.
Prompt blocks to dictate every time
- Role and objective
- Input context and assumptions
- Output format and depth
- Validation checks
Iteration strategy
Keep each follow-up prompt focused on one missing dimension rather than rewriting everything.
This improves speed and keeps model behavior more predictable.
Why it scales
Teams can standardize spoken prompt templates across tools, reducing variability in assistant output quality.
Benchmark qualifier
Based on Almond internal testing (February 15, 2026): same 20-second spoken phrase, measured from end of dictation to visible final text result versus Wispr Flow and other cloud-first dictation models.
- Test date: 2026-02-15
- Input: Same 20-second spoken phrase
- Metric: Elapsed time from end of dictation to visible final result
- Comparison group: Wispr Flow and other cloud-first dictation models
Related resources
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