How I take 10–15 minutes of raw voice transcription, run it through GPT-5, and turn chaos into themes, domains, and actionable tasks.
Where I put my AI-processed transcripts, the formats I rely on, and how I turn them into forward momentum.
Where I see this workflow heading next: using MCP and AI agents to handle the handoff from transcription to action without me in the middle.
Tracing the journey from raw voice transcripts to AI-structured outputs, storage systems, agent orchestration, and confidence thresholds.