Storing and Using AI-Processed Voice Unloads
Capturing a raw unload with voice transcription is only the first step. What matters just as much is where it lives afterward and how it gets carried into my daily systems. Otherwise it’s just another note in the void.
This Lab explains how I handle the output from GPT-5 after a voice session—where I store it, the formats I prefer, and what happens next.
The Core Challenge
If I only look at my AI-processed unload once, it’s wasted potential. The real value comes from being able to:
- Revisit the themes later.
- Search across past unloads.
- Move action items into my task and project systems.
That means output format and storage have to be deliberate.
Formats I Prefer
I usually ask GPT-5 to structure the unload into three layers:
- Themes — broad categories of thought (e.g., “Client Projects,” “Payments,” “StrongStart Courses”).
- Domains — mapping themes to contexts (agency, product, personal).
- Tasks by Type — grouped into categories like
Follow-ups,Research,Drafting,Ops.
The output is always in plain markdown. Why markdown?
- Portable — works across Obsidian, Notion, GitHub, or even plain text.
- Easy to append — I can slot it into existing docs or repos.
- Searchable — full-text search catches it anywhere.
Where It Lives
- Obsidian: for long-term knowledge capture. Each unload becomes a dated note with themes + tasks.
- GitHub: if the unload is dev-heavy, I drop it into issues or project boards (sometimes even a repo folder for context).
- Client Folders: action items tied to specific accounts live in shared docs or trackers, so they don’t get siloed.
In short: central record in Obsidian, but branches out wherever the work needs to happen.
What Happens Next
The unload doesn’t sit idle—it flows into action:
- Tasks: grouped items get migrated into GitHub Issues, task boards, or simple lists.
- Themes: I tag them to see recurring focus areas over time.
- Domains: I use them as a sanity check—are my efforts balanced across client, product, and personal?
Over weeks, patterns emerge. I can see how much attention went into, say, “Payments” versus “Agency Ops,” not just in memory but in actual documented unloads.
Why This Matters
Without structure, unloads would just be another form of journaling. Helpful in the moment, but hard to act on. With a system:
- I don’t lose threads between sessions.
- I have an archive of recurring themes to review quarterly.
- I get immediate, actionable task lists for daily execution.
The workflow isn’t just about capture—it’s about turning captured thoughts into momentum.
Closing Thought
Voice unloads become powerful when they’re stored, searchable, and acted upon. By preferring markdown, anchoring them in Obsidian, and feeding tasks into my execution tools, I make sure every 10-minute unload compounds over time instead of evaporating.
It’s not just memory—it’s a living record of what I’m building, thinking, and prioritizing.