I'm in my second half of life and not a video person, but I wanted to tell the story of my year. Here's the workflow that worked: 1️⃣ Gather what you already have. Recorded coaching calls, podcast episodes, old videos, social posts. I had way more footage than I realized. 2️⃣ Let AI find the story. I had Claude read the transcripts and pull the moments that showed a turning point, not just the highlights. 3️⃣ Write the arc first, then cut. A beginning (stuck), a middle (trying things), and an end (who I became). AI helped me draft the narration around the clips. 4️⃣ Narrate with your own cloned voice. ElevenLabs let me fill gaps without re-recording. 5️⃣ Score it yourself. I wrote two songs and made them in Suno. Biggest lesson: the hard part wasn't the tech. It was deciding which moments mattered. AI is great at finding the gold, but you have to decide what the story is about. Anyone else using AI to work with their own old recordings? I'd love to hear how.

Sometimes we stop because something is wrong. Sometimes we stop because it is hard. Those are not the same thing. How do you tell which one it is??

I'm 50-something, not a filmmaker, and today I made a music video. Here's the actual workflow, in case it sparks something for you: 1. The song: I wrote the lyrics and generated the song in Suno. 2. The footage: No filming day. I used what I already had: phone videos, old posts, photos of my pets, the beach. 3. The editing: I gave Claude my song and my files. It pulled the lyrics and their timing from the audio, cut the visuals to the beat, matched images to the words ("dreams tucked in a notebook" → my actual stack of notebooks), and added the on-screen lyrics. 4. My job: Taste. I watched it, gave notes ("cut that," "bigger here," "that's too long"), and it revised. The lesson: The bottleneck wasn't skill or software anymore. It was deciding what I wanted to say. What's something you've been putting off because you thought you needed a skill you don't have? 👇

Today was a productive day! I spent some time updating my website with the help of my AI agent, and I’m really pleased with the results. My agent reviewed the work, caught an issue that needed correcting, and helped get everything exactly where I wanted it. What impressed me most was how much time and frustration it saved me. Instead of spending hours figuring everything out myself, I was able to focus on what I wanted to accomplish. A big shout-out to my AI agent for a job well done! Today’s lesson: AI isn’t just about getting answers. It’s about having a tool that helps you turn ideas into results. Another step forward, another victory, and another opportunity to learn. That’s what progress looks like!

Glen here. The discussion about listing everyday tasks is timely for me. I’m learning practical AI and working with written lessons that become video, so there are plenty of small steps to choose from. My first instinct is to make the whole toolbox smarter. I’d rather understand one repeat task well enough to explain what goes in, what comes out, and how I’ll check it. When you choose a first task to hand over, what makes it a sensible learning project? Do you look for a clear example to compare against, a low cost of mistakes, or something else?