Dead Air Podcast
Setup I didn’t plan on writing a book. At least, not right then. What I wanted was something smaller — a way to test whether this machine could actually work with me, not just for me. I’d already tried it once, asking ChatGPT to draft an “astrological weather” post for Daljeet. It got the style right but the sky wrong. Still, something about that near-miss stuck with me. So I kept poking. Over the next few weeks, I used it to help draft several posts for Mutable Fire [https://mutablefire21.substack.com/]. They weren’t masterpieces, but they were proof of concept: that I could bring my own insights, my own voice, and get something workable back. That’s when the thought hit me — what if I gave it something bigger? Something I’d been circling for years, but never finished. Collective Souls. This was a series of Medium articles I’d written back in 2021 on the astrology of generations, which I had intended to turn into a book. I’d circled back to it a few times since, but always stalled out. I treated the material like it was too precious, trying to preserve the original words instead of letting them breathe. It sat there, waiting, while I worked on other projects. Now, with this new tool on the table, the idea came back louder: maybe the way forward wasn’t to polish the old drafts, but to start over. A page-one rewrite. Seed If the Medium articles were sketches, then what I wanted now was a real draft. Not a scrapbook of ideas, but a book with a spine. Something coherent enough to hold the weight of my worldview: astrology, history, generational cycles, and the cultural churn of living through the long tail of Gen X. To make it work, I needed more than a chatbot throwing words back at me. So I built a custom GPT, trained on years of writing as Daljeet Peterson — blogs, articles, transcripts from YouTube videos. I fed it the original Collective Souls essays as source material, but I didn’t stop there. I also created a set of knowledge docs, distilled from long conversations where I tried to pin down my voice, tone, and the way I use astrology as a lens on culture. That’s how “DalGPT” was born. The first surprise wasn’t what it wrote — it was how it thought with me. I could throw complex ideas at it — everything from evolutionary astrology and Jungian archetypes, to deep album cuts and obscure cultural references — and it wouldn’t blink. It would mirror the insight back, expand it, and often times sharpen it beyond where I’d left it. Suddenly, the problem wasn’t inspiration. It was management. How do you shape an endless well of responses into a narrative with direction, rhythm, and voice? That was the beginning of the real experiment. Process This is where the shine wore off. Outlines came easy — DalGPT could spin a scaffold in minutes, nested from meta to macro to mezzo to micro, until I had something like a paragraph-by-paragraph blueprint. But when it came to drafting? The cracks showed. Language compressed. Everything tightened down to short, punchy bursts, like copy for a blog or an ad. A book needs space to breathe. Voice, rhythm, tone — those things don’t survive compression. So most drafts felt flat, or worse: generic. That meant writing became rewriting. Dozens of passes, sometimes four or five versions of the same chapter, pulling the best bits from each into a master doc. Stitching. Re-voicing. Pushing back against the bot’s recency bias, its habit of latching onto the last thing we said and forgetting the larger arc. It was a slog. But it wasn’t dead work. Somewhere in that iterative grind, the machine started throwing sparks. A sudden metaphor, a structural suggestion, a narrative beat I never would’ve hit on my own. Raw material — messy, sometimes brilliant, often sideways — but enough to remind me why I was still in it. And the strange part was this: I never felt like the book was being written by AI. The ideas, the seed concepts, the structure — they were mine. What the machine gave me was variation, iteration, and amplification. It was like working with a bandmate who doesn’t sleep, doesn’t get tired, and doesn’t run out of takes. You still have to produce the album. But you’ve got a bottomless reel of tracks to work with. The Studio The way I came to think about it was this: those first Collective Souls essays I wrote back in 2021 — those were my four-track demos. Scrappy riffs laid down raw, sometimes brilliant, sometimes clumsy, but alive with the first spark of an idea. A guitar progression in a bedroom. A groove you knew might turn into something more. But a book isn’t a demo. It’s an album. And that meant stepping into the studio — not alone, but with a strange new collaborator. DalGPT wasn’t a ghostwriter. It wasn’t even a co-author, exactly. It was more like having a rack of analog gear and a bandmate rolled into one. Sometimes it was an effects pedal, bending and distorting a riff I’d thrown down. Sometimes it was the mixing board, pulling hidden tones forward, dropping others into the background. And sometimes — at its best — it was like another musician in the room, pushing the track in a direction I wouldn’t have taken, but glad we did. The work was still mine. The signal, the melody, the intent — all human. But the texture, the variations, the sheer volume of takes — that was AI. It didn’t hand me songs. It gave me tracks. And it was up to me, the producer and player, to decide what stayed on the reel and what hit the record. That’s the role this technology plays at its best: not replacement, not shortcut, but amplifier. It multiplies possibilities. It pushes you to hear your own material in ways you wouldn’t have otherwise. It hands you the dials and dares you to tune the sound. Coda Six weeks. Ten- to twelve-hour days. Me, DalGPT, and a screen that never cooled down. By March 2025, the thing was done — a book hammered out of hallucinations, outlines, false starts, and a thousand small collisions between human intuition and machine patterning. Collective Souls. My debut. My first “album.” It’s dropping October 2025, self-published on Amazon — and yeah, that’s a plug, but it’s also a signal flare. Because here’s the truth: the tools aren’t neutral. They shape the work. They bend the voice. They want to compress, to flatten, to spit back something that sounds right but isn’t alive. The only way to fight that gravity is to drag it through your own circuitry, force it through your taste, your experience, your scars. That’s the difference between a demo and an album worth spinning more than once. And that’s what Dead Air is: the studio, in public. The record light on. The risk of failure wired into the feed itself. Sometimes it’ll click, sometimes it’ll blow out the levels, but you’ll hear it all — the drafts, the false starts, the sparks when something actually lands. Collective Souls is the first record. The second’s already in session. If you’re here, you’re not just an audience — you’re in the control room with me. Footnotes: Get full access to Dead Air at deadairhead.substack.com/subscribe [https://deadairhead.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]
7 episodios
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