Create to do lists from voice notes

TL;DR

Record a short audio memo of daily priorities, then let Reflect transcribe it into text using its built-in voice transcriber.

Briefing Cornell Notes

Briefing

Voice memos can be turned into clean, structured to-do lists without typing by combining automatic transcription with AI-based formatting. The workflow centers on Reflect’s voice memo integration (powered by a “voice transcriber”) to convert spoken notes into text, then uses an AI editor to reorganize that text into readable lists such as “key takeaways” and “action items.” The practical payoff is immediate: instead of ending a morning with a wall of unstructured transcription, the notes become collapsible, well-formatted task lists that fit how a person actually works.

The process starts with recording an audio memo that reflects the day’s priorities. In the example, the memo is recorded hands-free—during breakfast, on a commute, or any other time that would otherwise be idle. After the short recording is transcribed into a block of text, the AI editor is used to transform it. A custom prompt instructs the AI to act like an executive assistant and produce two separate sections: one for key takeaways and another for action items. Formatting instructions are included so the output retains readable structure (including markdown-style formatting). Once the AI output is inserted, the original “audio memo” text can be cleared, leaving only the organized lists.

A second example scales the same idea across multiple projects. A longer voice note lists tasks for three categories—Reflect work, a side project (“startup cookie agency”), and personal errands. The AI prompt is customized to detect the project structure and generate action items under each project heading. An extra step adds backlinks to each project, so tasks remain connected to their corresponding project pages in the note system. That backlinking creates a network of related notes: clicking the backlink shows the tasks appear in incoming backlinks, reinforcing organization and traceability.

The transcript also highlights portability. If someone isn’t using Reflect, a separate transcription tool called Super Whisper can transcribe voice and place the result on the clipboard for pasting into other apps. For AI formatting outside Reflect, ChatGPT can be used with manual prompting and copy/paste steps. Reflect is positioned as the smoother option because it combines transcription (“whisper voice transcriber”) and AI formatting in one place, plus supports saving and cloning custom prompts for repeatable results.

Overall, the core insight is that spoken daily planning can become a structured task system—complete with categories, collapsible sections, and optional prioritization—by pairing voice transcription with tailored AI prompts. The method is designed for morning routines and multi-project workflows, turning voice notes into actionable lists that stay organized as work changes.

Cornell Notes

Turning voice memos into organized to-do lists is done in two steps: transcribe speech into text, then use AI to restructure that text into actionable formats. Reflect’s desktop or mobile audio memo feature records a spoken plan, transcribes it, and then an AI editor converts the transcription into lists like “Key takeaways” and “Action items.” For multi-project planning, a custom prompt can split tasks by project and add backlinks so each task stays connected to its project page. The same approach can be replicated elsewhere using Super Whisper for transcription and ChatGPT for formatting, though it requires more manual copy/paste work.

How does the workflow convert a spoken daily plan into usable tasks?

It records an audio memo, then uses AI to reorganize the resulting transcription. In Reflect, the desktop or mobile app provides an audio memo integration with a built-in voice transcriber. After transcription produces a block of text, the AI editor is run with a custom prompt that formats the content into structured lists—commonly “key takeaways” and “action items.” The output is then inserted into the notes, and the original unstructured memo text can be cleared.

What makes the AI output look like a real task list instead of plain transcription?

Custom prompting plus explicit formatting instructions. The prompt instructs the AI to act like an executive assistant and to generate two separate lists. It also includes guidance to be explicit and to preserve readable formatting (the transcript notes markdown-style formatting). A “replace” step finalizes the formatted list so the notes become clean and collapsible.

How does the method handle multiple projects in one voice note?

A second custom prompt detects project categories and generates action items under each one. In the example, the voice note includes tasks for Reflect work, “startup cookie agency,” and personal errands. The AI produces separate sections for each project, keeping tasks grouped rather than mixed together.

Why add backlinks to each project when generating action items?

Backlinks maintain a connection between tasks and their project pages in the note network. After the AI generates project-specific lists, a backlink step links each project heading so that tasks appear in the project’s incoming backlinks. Clicking the backlink shows the tasks are associated with that project, improving navigation and organization.

What options exist if someone isn’t using Reflect?

Transcription and formatting can be split across tools. Super Whisper can transcribe voice and place the text on the clipboard for pasting into other apps. For AI formatting, ChatGPT can be used with manual prompts, but the transcript notes it requires more copying and pasting compared with Reflect’s integrated transcription plus AI palette editor.

Review Questions

If you wanted both “key takeaways” and “action items” from a voice memo, what two-step transformation would you run and where would the formatting instructions come from?
How would you modify the prompt so tasks from one voice note get separated into multiple project sections with backlinks?
What tradeoff changes when using Super Whisper plus ChatGPT instead of Reflect’s built-in transcription and AI editor?

Key Points

1
Record a short audio memo of daily priorities, then let Reflect transcribe it into text using its built-in voice transcriber.
2
Use a custom AI prompt to convert raw transcription into structured sections such as “key takeaways” and “action items.”
3
For multi-project planning, run a prompt that splits tasks by project so action items don’t get mixed together.
4
Add backlinks from each project heading to keep tasks connected in the note network and make them easy to navigate.
5
After AI formatting, replace the original memo text with the organized list and optionally collapse the section for a cleaner workspace.
6
If not using Reflect, transcribe with Super Whisper (clipboard output) and format with ChatGPT, accepting extra manual copy/paste steps.
7
Save and clone prompts so the same voice-to-task workflow can be reused consistently each morning.

Highlights

A voice memo can be transcribed and immediately reorganized into a clean, collapsible to-do list using Reflect’s AI editor.

Custom prompts can generate multiple list types—like “key takeaways” plus “action items”—from the same spoken note.

Project-based prompts can split tasks across Reflect work, a side project, and personal errands, then link them via backlinks.

Backlinks turn task lists into a navigable network, so clicking a project reveals its associated action items.

Topics

Voice Memos
AI Task Lists
Custom Prompts
Project Backlinks
Voice Transcription