How to Dictate a Full Spec to a Coding Agent
Coding agents like Cursor and Claude Code are only as good as the spec you hand them. The fastest way to write a rich, detailed brief is not to type it. It is to talk it out loud, let dictation capture every word on your Mac, and let AI turn the rambling into a clean prompt.
Key takeaways
- Most people speak around three to four times faster than they type, so talking is the quickest way to draft a spec.
- On-device AI cleanup turns messy spoken thoughts into structured requirements you can paste straight into a coding agent.
- Speech recognition and cleanup run 100% on your Mac, so internal names and unreleased features never leave the device.
- A custom dictionary and custom AI prompts keep jargon accurate and format every spec the same way.
Why dictate a spec instead of typing it?
A good spec is long. It names the feature, the edge cases, the data model, the acceptance criteria and the things you explicitly do not want. Typing all of that is slow, and slow input pushes people to write short, vague prompts that produce short, vague code. Talking removes that friction. When you speak, you naturally include the context and the caveats you would skip if you had to type every character.
Speed is the obvious win. Most people speak around three to four times faster than they type, so a two minute brain dump out loud captures far more detail than the same two minutes at the keyboard. The same trick works well beyond code: it is why people write more emails in less time by dictating them. For a coding agent, more detail up front means fewer wrong turns and fewer follow-up corrections.
The workflow, end to end
Dictating a spec is a pipeline, not a single step. Your voice is captured, transcribed on-device, cleaned up by AI, and delivered as text into your agent's prompt box. Because it all runs locally, there is no upload and no waiting on a server round trip.
Five steps to dictate a spec that ships
Put your cursor where the spec goes
Open Cursor, VS Code, a terminal agent or a browser chat and click into the prompt box. BlaBlaType works system-wide, so it types wherever your cursor already is.
Speak the spec like a briefing
Press your shortcut and talk through the goal, the inputs, the edge cases and the acceptance criteria. Say the "do nots" out loud too. Do not worry about filler or false starts.
Let AI cleanup structure it
On-device Apple Intelligence cleanup strips the "um" and "so basically", fixes punctuation and grammar, and reshapes the transcript into readable requirements before it lands in the box.
Read it back, then send
Skim the cleaned text once for accuracy, add a missing constraint by voice if needed, and hand it to the agent. A tighter brief means fewer wrong turns in the generated code.
Iterate by voice
When the agent asks a question or misses a case, dictate the follow-up instead of typing it. Talking keeps you in flow through the whole review loop.
This is the same muscle you use when you code by voice on a Mac generally: capture intent quickly, let the machine handle the mechanics. If your agent lives in the browser, the flow is identical to how you talk to ChatGPT with your voice.
Keep jargon and internal names accurate
Specs are full of proper nouns: service names, library names, feature flags, ticket IDs. Generic dictation mangles those. BlaBlaType has a custom dictionary where you add your own terms so they transcribe correctly every time. Pair that with a custom AI prompt that always formats output the same way, for example as a title, a bullet list of requirements and a numbered list of acceptance criteria, and every spec you dictate comes out in a shape your agent parses well.
Tools like Cursor reward structured prompts, so the cleanup step is doing real work, not just cosmetics. It converts a stream of consciousness into the kind of brief a careful engineer would write.
Privacy: why on-device matters for specs
A spec often describes things you cannot share: unreleased features, client systems, security assumptions, internal architecture. That is exactly the content you do not want passing through a third party transcription server. With BlaBlaType, both speech recognition and AI cleanup run entirely on your Mac using local Whisper and Parakeet models, and your audio and transcripts never leave the device. You get the speed of dictation without shipping your roadmap to the cloud. If you want the wider picture of options, see our roundup of the best dictation software for Mac, or check the plans to see what is included.
Dictate your next spec on your Mac
Talk through the feature, get AI-cleaned requirements, and keep every word on-device. No card needed for the trial.
Download for macOSFrequently asked questions
Can I really dictate a whole spec instead of typing it?
Yes. Most people speak around three to four times faster than they type, so talking through a feature out loud is often the quickest way to capture a full spec. On-device dictation types your words into the prompt box, and AI cleanup turns the rambling into structured text you can hand to a coding agent.
Will the coding agent understand my messy spoken words?
It helps to clean them up first. Raw speech has filler words, restarts and no punctuation. BlaBlaType runs on-device AI cleanup that removes filler, fixes punctuation and grammar and adapts tone, so the agent receives a clear brief instead of a transcript of you thinking out loud.
Is my code and spec kept private if I dictate it?
With BlaBlaType, yes. Speech recognition and AI cleanup run 100% on your Mac, and your audio and transcripts never leave the device. That matters when a spec references internal systems, client names or unreleased features.
Does dictation work inside Cursor, VS Code and browser AI chats?
Yes. BlaBlaType works system-wide in any app or text field on macOS, so it types into your editor, a terminal AI tool, or a browser chat with ChatGPT or Claude. You press one shortcut and dictate wherever your cursor is.
How do I keep technical names and jargon accurate?
Use the custom dictionary to add product names, library names and internal jargon so they are transcribed correctly. You can also set custom AI prompts so the cleanup step formats your spec the same way every time, for example as user stories or numbered acceptance criteria.