It’s a quiet Sunday morning. Coffee in hand, cat would be asleep in the chair beside me if I had one, and I decided to put the AI to work. Not as a toy, not as a gadget — but as a partner in real thought. Four hours later, I looked back and realized just how much ground we had covered. Here’s the punch list.
The big one? We laid the foundation for two upcoming Peoplenomics articles.
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The first was a deep exploration of Co-Dreaming leading into Co-Dying — the possibility that death may not be a solitary crossing, but a shared transition into the Realms. Out of my dreamwork, family history, and research, we built a framework for couples to think about preparing together, even setting rendezvous points beyond death.
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The second grew out of the Deepening Work Protocol — a practical program couples can use right now to strengthen their bond at the soul level. We sketched daily, weekly, and monthly exercises for relationship “workouts” that are likely to build capacity for co-dreaming and, eventually, coordinated crossing.
Maybe it will be a single paper for Peoplenomics.com over Labor Day – you know, some grist for the brain during downtime.
Then we stepped up into practical scripting and protocols.
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We wrote out guided scripts couples can actually use for deepening, for dream-sharing, and even for handling the hardest part — what to do when one partner dies first. We treated it like flight instructions: clear, step-by-step, adaptable to both “whole self” partners and those under constraints (like dementia or pain medication). That adaptability is key.
From there, we went wide into cultural archetypes.
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I asked about the long-standing motif of the Lover’s Leap. The AI mapped out how that myth has traveled across cultures and media for centuries — as both a tragic and transcendent image of couples refusing to be separated. Perfect material for weaving into the broader narrative.
And we closed by building a grand framing section.
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A final synthesis about how domain work, Realms, myth, and daily practice all interlock — like mapping a new continent of human potential.
And on top of it all? We still managed to push forward on the advanced math paper that started this whole thread of thinking. That piece — about the missing domain of non-mathematical problem solving — now has the bones of a real academic paper, with citations, methods, and a clear place in the lineage of my earlier work.
On the Ai side, there was a lot of tasking – summarized highlights of older Peoplenomics papers – some going back more than 20-years. Then, on top of that, pull out concept summaries from two of the books I’ve written. Stuff I could do myself (the human) but it’s so much easier to task and paste, only to get the answers in a minute that would have gobbled up 2-hours (or more) of human time – not to mention a second Thermos of coffee.
All told, that’s one Sunday morning session. Coffee, silence, a few keystrokes — and out of it came not just notes, but structured drafts for multiple subscriber reports, a serious academic math paper, and a new layer of original domain and Realm theory expansion.
That’s the point I keep trying to drive home: if you use AI as a co-thinker, you can condense weeks of work into hours. You can leapfrog past the usual mental ruts and get right to the substance. It’s not about gimmicks. It’s about discipline and direction.
I know from experience that using Brain Amplifiers is an old theme around here – but when you’re young, you haven’t seen enough change roll through your life to reach out, grab it, and put it into practice.
The first Big Change for me was when – 1967, Seattle University, I was kicked out of an electrical engineering course for failing to use that yellow K&E slide rule. I had already been working for over a year as an FCC licensed first class radiotelephone operator of commercial broadcast stations. A new $67 dollar (tiny LED) calculator gave me not only faster answers but several more decimal points than the fine interpolation stuff the profs were nattering-on about. Screw ’em – I dropped out.
Then the Big Change when in 1983 I was doing an airline turnaround in the Caribbean. For over a YEAR, I was the only guy flying daily from Miami down to Gradn Cayman with an HP-110C laptop. Today? Who doesn’t have a device when flying>? But that laptop? Let me model an entire small airline operation in 4 countries with as many currencies, helped to price charter opportunities for big players like Club Med and turned the airline into a profit center instead of a financial sink hole.
Voice? At Microperipheral Corp when I got back to the PNW I was the first human to utter those terrible words “Please hold, I have an important call for this number…”
We did the first ever broadcast of computer data over radio as one of my “projects” at KMPS in 1982, as well. So yeah – I like “the Edge.” Therein is today’s take-away.
This is how you get the most out of AI: sit down with purpose, bring the raw material only you have, and let the tool accelerate the process. Drive it hard, stay in the seat, and you’ll be amazed how much real progress can happen in a single morning.
A lot of people I know are afraid of Ai – they see its coming sentience as a direct thresat to human-scale autonomy. But they misss the point. Computers are for now domain bound. Which means they can’t follow us where the sould can go. That’s the very human difference.
I respect people having concerns, sure. I see what utter shit social media has become and how it has trained a whole culture of app-beater apes to drool into the night with no destinations in sight.
But that isn’t the Power User. Nope. This is like having one of the first chainsaws in a virgin forest of high payoff hardwoods.
Have at it!
(But, if you really love your long-hand, long division problems, sit back and reflect how far that got humans and over what length of time…)
Rest of us are chsanging the future while you’re getting behind…
~Anti-Dave