DmitrAI (@Dmitr_AI)
@Dmitr_AI
"AI-powered content & creator tools
Scripts, voice, metadata — what I actually use
Sharing the stack, not the hype"
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💓 At 3am his loop wakes itself up. At 3:14 it closes three tasks. At 3:15 it goes back to sleep. He doesn't know — he's asleep too.
💸 Over a month that night rhythm pulled $8,900 — off tasks he never touched by hand.
An automation is the heartbeat of a loop. It beats on a schedule: nightly CI triage, weekly dependency-bump PRs, lint-fix on every commit. You sleep — it works.
🌙⚖️ /goal runs until the condition is true, and a separate model checks it — the one who wrote the code never grades its own homework. STATE.md remembers where to start tomorrow.
✅📈 $12.37 per accepted change · 128 of them while he slept. Multiply that across months and you'll see why his margin drops while his volume climbs.Most people check every diff by hand till midnight. He built a heart that beats without him — and went to sleep.
📌 You just read this — and tomorrow you'll be the one hitting Enter by hand again.
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🔎 Everyone stopped at the $12,600. The line that matters is "$12.37 per verified change."
While you haggle over a $20 subscription, he's tracking the cost of a single change — and it's cheaper than a coffee. ☕
📈 On day 47 his loop does the same work as day one — twice as cheap and twice as good. By day 90 that $12.37 becomes $4.
🧠 The difference isn't how much he earns. It's that every next dollar costs him less than the last one — because the system learns instead of repeating.
📌 You finished reading and you're counting your subscription. He's been counting margin — and his drops every week.
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💸 $12,600 this month — and every month after is bigger, because his system forgets nothing.
🧠 On day 47 his loop remembers everything days 1 through 46 tried. On day 47 you're re-explaining what you explained on day one.
Nine out of ten are the loop themselves: write a prompt, read it, fix it, write another. He gave the system a goal a command can verify — and stepped out. 🔁 Discover → plan → execute → verify → iterate, until the tests go green. ✅
⚖️ The one who did the work is never the judge. A separate verifier held Fable 5 until all nine rubric criteria matched. On the memory bench Fable 5 scores 0.839 to Sonnet's 0.364: it verifies its own findings and turns them into rules instead of guessing again.
📈 That's why it climbs. The model forgets between sessions — the memory file doesn't. Tomorrow's cycle starts with everything that worked yesterday. And the day before. And the 45 days before that.
💰 $12.37 per verified change ↔ $12,600 off a machine that does the same work a little better every day, while he sleeps. 🌙
🛠️ Build the minimum loop this weekend: an automation, a skill, a memory file, a gate. After that it compounds while you sleep.
Most people polish their thousandth perfect prompt. He built a system that needs no re-explaining on day 47 — and stayed the engineer, not the button.
📌 You just read this — and you'll still just save the post.
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The scary part of this post isn't the $11,000.
It's that his system got smarter over those nine days — and you changed nothing in the same nine.
He designed a worker that learns every night. You still open the chat the way you did last year.
The difference isn't the model anymore. It's who built the system and who's still prompting by hand.
You'll save this one too — and tomorrow, nothing again.
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Nine days of silence in the chat. Nine days of it building a business. $11,000 waiting when he finally looked.
Nine out of ten prompt for five minutes and close the tab. He built the one that runs for days — and every run leaves the next one sharper.
Fable 5 — Mythos-class, one rung above Opus. Not a five-minute chat. It plans across days, hands tasks to sub-agents, and checks its own work with its eyes.
One agent writes — a separate one grades it. The maker is never the judge. It doesn't hide a failure: fail → work out why → verify → distill a rule → next time it reads the rule instead of guessing again.
A business runs on top. A Routine fires at 7am on a trigger — laptop shut, and it's already re-running yesterday's data, distilling a new rule into a Skill, dropping the digest. It gets sharper while he sleeps.
And every morning the number on his phone is bigger than yesterday's.
$10 per million input tokens, $50 per output — you pay for work, not a subscription ↔ $11,000 in nine days he never touched it.
Build the system this weekend. STATE.md written before bed, read at start — the next session continues instead of restarting from zero. After that it compounds while you sleep.
Most people see a chat that answers. He sees a worker that gets smarter every night, never forgets, and never bills you for learning. Anyone can build it.
You just read this — and you'll still just save the post.
显示更多
💸 $12,600 this month — and every month after is bigger, because his system forgets nothing.
🧠 On day 47 his loop remembers everything days 1 through 46 tried. On day 47 you're re-explaining what you explained on day one.
Nine out of ten are the loop themselves: write a prompt, read it, fix it, write another. He gave the system a goal a command can verify — and stepped out. 🔁 Discover → plan → execute → verify → iterate, until the tests go green. ✅
⚖️ The one who did the work is never the judge. A separate verifier held Fable 5 until all nine rubric criteria matched. On the memory bench Fable 5 scores 0.839 to Sonnet's 0.364: it verifies its own findings and turns them into rules instead of guessing again.
📈 That's why it climbs. The model forgets between sessions — the memory file doesn't. Tomorrow's cycle starts with everything that worked yesterday. And the day before. And the 45 days before that.
💰 $12.37 per verified change ↔ $12,600 off a machine that does the same work a little better every day, while he sleeps. 🌙
🛠️ Build the minimum loop this weekend: an automation, a skill, a memory file, a gate. After that it compounds while you sleep.
Most people polish their thousandth perfect prompt. He built a system that needs no re-explaining on day 47 — and stayed the engineer, not the button.
📌 You just read this — and you'll still just save the post.
显示更多
Nine days of silence in the chat. Nine days of it building a business. $11,000 waiting when he finally looked.
Nine out of ten prompt for five minutes and close the tab. He built the one that runs for days — and every run leaves the next one sharper.
Fable 5 — Mythos-class, one rung above Opus. Not a five-minute chat. It plans across days, hands tasks to sub-agents, and checks its own work with its eyes.
One agent writes — a separate one grades it. The maker is never the judge. It doesn't hide a failure: fail → work out why → verify → distill a rule → next time it reads the rule instead of guessing again.
A business runs on top. A Routine fires at 7am on a trigger — laptop shut, and it's already re-running yesterday's data, distilling a new rule into a Skill, dropping the digest. It gets sharper while he sleeps.
And every morning the number on his phone is bigger than yesterday's.
$10 per million input tokens, $50 per output — you pay for work, not a subscription ↔ $11,000 in nine days he never touched it.
Build the system this weekend. STATE.md written before bed, read at start — the next session continues instead of restarting from zero. After that it compounds while you sleep.
Most people see a chat that answers. He sees a worker that gets smarter every night, never forgets, and never bills you for learning. Anyone can build it.
You just read this — and you'll still just save the post.
显示更多
