How I Built an Edge AI Pipeline to Rescue My Podcast Workflow

Description and use

<p>When I first launched my indie development podcast, I was completely in love with the recording process. Sitting down with a microphone, diving deep into architecture decisions, and chatting with fellow devs was a blast. But the moment the recording stopped, the dread set in.</p> <p>I was struggling with the post-production admin. Writing a catchy title, listening back to a 45-minute audio file to pull out timestamps, and formatting show notes took me nearly two hours per episode. It was draining my energy and making me want to quit before I even hit publish.</p> <p>So I decided to build so

Problem

<p>When I first launched my indie development podcast, I was completely in love with the recording process. Sitting down with a microphone, diving deep into architecture decisions, and chatting with fellow devs was a blast. But the moment the recording stopped, the dread set in.</p> <p>I was struggling with the post-production admin. Writing a catchy title, listening back to a 45-minute audio file to pull out timestamps, and formatting show notes took me nearly two hours per episode. It was draining my energy and making me want to quit before I even hit publish.</p> <p>So I decided to build so

Outcome

<p>When I first launched my indie development podcast, I was completely in love with the recording process. Sitting down with a microphone, diving deep into architecture decisions, and chatting with fellow devs was a blast. But the moment the recording stopped, the dread set in.</p> <p>I was struggling with the post-production admin. Writing a catchy title, listening back to a 45-minute audio file to pull out timestamps, and formatting show notes took me nearly two hours per episode. It was draining my energy and making me want to quit before I even hit publish.</p> <p>So I decided to build so

Evidence

How I Built an Edge AI Pipeline to Rescue My Podcast Workflow

Source