aibl co-founder Terry O’Dwyer was spending 20 to 30 minutes processing each voice note, and often it never got done. He built a pipeline in Notion, Make.com and an OpenAI Assistant that turns a raw transcript into tasks, commercial priorities and a coaching note in seconds.
He has no engineering background. He used Gemini to troubleshoot each step of the build.
As described by Terry O’Dwyer
Record the note, paste the transcript into a Notion database from a quick-capture screen on your phone, and move on. Make.com triggers automatically and sends the text to an OpenAI Assistant set up with your goals and how you work. The results land back in Notion.
Six streams from every transcript: flagged revenue opportunities, a next-actions list, a coaching note, an energy and fatigue tag, an archived journal entry and a searchable record that builds over time.
Because the record compounds. Every processed note adds decisions, opportunities and patterns to a database a leadership team could eventually use, turning what sits in one founder’s head into something the organisation can act on.
If voice notes and transcripts pile up unprocessed, the full guide shows how to build the same pipeline:
This guide first appeared in aiblBRIEF. Read the original article: From voice dump to action list.
