To dictate an AI prompt on a Mac, speak the instruction into an editable field, review the resulting text, and submit it to the AI tool yourself. The value is in capturing a complete thought without losing the constraints that make the answer useful.

LoQuill can provide the local speech-to-writing part on a supported Mac. The receiving AI service is a separate part of the workflow, with its own processing and data handling.

Decide what the other tool needs to do

Before speaking, name the task. Are you asking for an explanation, a draft, a critique or a change to something you already have? Those requests need different information.

A prompt such as “help with this” leaves the other tool to infer the goal. A clearer spoken instruction says what you want, why it matters and what the output should look like.

Use four parts

Goal: the job you want completed.
Context: the information needed to understand the job.
Constraints: what the answer must respect.
Output: the form you want back.

You can use those labels while planning, but you do not need to say them as special commands. Speak a normal instruction that includes the four ideas.

An example for revising an email

Here is an illustrative prompt, not a recorded LoQuill output:

“Rewrite the draft below as a concise email to a project partner. Keep the Thursday deadline and the request to review the introduction. Make the tone friendly and direct. Don't add promises or new reasons. Return only the revised email.”

The prompt gives a task, audience, details to preserve, a constraint on invention and a clear output format. Paste the source draft separately so the receiving tool has the actual text.

An example for a coding question

“Explain why the function below returns an empty list for this input. Focus on the existing code rather than proposing a new library. Show the smallest correction and explain which case it fixes.”

This is useful because it tells the receiving tool what to investigate and how to limit the answer. Add the real code and input yourself; do not expect a dictation app to infer or attach them automatically.

Make one request at a time

If the prompt grows into several unrelated jobs, stop and split it. You can dictate the goal first, review it, then add the necessary constraints. A longer prompt is only useful when the additional detail helps the task.

Say an important correction explicitly. If you change “three options” to “two options,” check the final instruction contains the intended number. If you describe information that must stay unchanged, verify the wording survived cleanup.

Check the destination before speaking

Place the cursor in a normal editable prompt field and run a short, non-sensitive test. If insertion is unreliable in that destination, compose in a local document and paste the reviewed text yourself.

This article describes a text-entry workflow, not a promised integration with a particular AI product. The dictation app does not submit the prompt, inspect your whole project or execute the instruction merely because you said it aloud.

Review before submitting

Read names, numbers and negatives first. Then check the constraints. Does “do not change the tone” still contain the negative? Does “explain” remain an explanation request rather than a request to modify something?

Remove background that does not help the receiving tool. Add any source material the task depends on. Treat the prompt like a short specification: the result should be understandable to someone who did not hear your earlier thoughts.

Local dictation is not local AI inference in the destination

LoQuill's recognition and cleanup run on your Mac. If you submit the finished prompt to an online service, that service receives the prompt. Its processing is governed by its own design and settings.

If the content needs to stay entirely local, choose a destination workflow that also runs locally and verify it separately. An offline speech-input layer does not change where another product runs.

Save the prompt structures you reuse

Keep a short template for common requests: revise this email, explain this code, compare these options, or turn these notes into an outline. Dictate the details that change and type the precise material that is difficult to speak.

That combination is often more practical than trying to voice every symbol, reference or code fragment. Speech is a way to create the instruction; clarity is what makes the instruction useful.

See LoQuill: https://loquill.app/