Mike | AI Systems Architect
203 posts

Mike | AI Systems Architect
@RupisanMichael
Building sovereign AI infrastructure for service-based businesses. Migrating complex workflows to n8n and Supabase. Focused on deterministic, stable automation.
Republic of the Philippines Katılım Ekim 2022
106 Takip Edilen17 Takipçiler

@tibo_maker Probabilistic vibes meet real-world friction. Burning $40 in 10s is an "AI heist" by design. This is why we anchor reasoning to hardware with deterministic kill-switches. If the kernel isn’t auditing drift in real-time, you’re just subsidizing entropy. Sovereignty or bust.
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@steipete const norm=s=>s.toLowerCase().trim().replace(/^[\/!]+/,""); const ABORT=/^(stop|abort|exit|wait|interrupt)(\b|$)|^please stop$|^stop (current )?(run|action|agent)$/i; export const isAbort=s=>ABORT.test(norm(s));
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@johnrushx @sachinyadav699 This. The agent is the UI, but the moat is governance and receipts. Full repos with one-time payment works if you ship CI parity, least-privilege connector scopes, and rollback drills.
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@sachinyadav699 > The Agent Is The Product
> Full repos with one-time payment
> Big Data
> Boring Regulated Stuff
> Sell The Result, Not The Tool
x.com/johnrushx/stat…
John Rush@johnrushx
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@steipete Good patch widening abort phrases helps real users under stress, but the false positive risk is real. Can you share a small sample of real abort utterances or logs.
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I just published #Protocol: The Death of the AI Strategist — Why Hardened Kernels are the Only Moat in 2026 medium.com/p/protocol-the…
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@steipete Exactly.
The Claw doesn’t ship itself.
Agents don’t deploy themselves.
Compute doesn’t compound itself.
Vision without execution is just a tweet.
Back to the terminal.
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@AlexFinn You’re not buying hardware. You’re buying leverage. Local agents running 24/7 compound faster than any employee or SaaS stack. Most people will rent intelligence. A few will own it.
Owning the compute = owning the upside.
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Its so obvious the path this world is going down. So I spent another $10,000
My vision has never been clearer.
Open source AI models are now equally if not more powerful than closed source ones
We will soon all have private personalized super intelligent AI agents running locally on our desks 24/7
The people who don't do this in the future won't have as much economic power
The people who do will have all the economic power in the world
I'm going all in on this vision
My 2nd Mac Studio has arrived.
I have 2 more coming.
I will have 4 Mac studios and a Mac mini running 5 concurrent OpenClaws with 7 different super powerful local models performing tasks 24/7/365 for me
I will interface with them, and they will coordinate with each other. Talking, planning, building all hours of the day. No need for sleeping or eating.
I will build a digital society humanity has never seen before
I will push the limits of what is possible with AI agents and local intelligence.
I will redefine what is possible for one person to achieve in a life time
I will share everything I build and learn with you.
It will be glorious.
If you're reading this, the future is going to be incredible. But the thing is, it will only be incredible if you do something about it. Don't let society control you. Take control yourself. Break free from your shackles.

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@DarlingtonDev @nutrientdocs My start was C, then C++/MFC
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I signed the contract today with software my company built years ago. (now it's @nutrientdocs, still best for anything PDF)
hari raghavan@haridigresses
Peter Steinberger bootstrapped PSPDFKit over 10 years (gold-standard PDF library used by Box, Apple, even DocuSign). Insanely hard tech. IYKYK. I'd guess he's worth a couple hundred mill from that. If he goes to OpenAI... he might make more from OpenClaw, which is 3 months old.
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@ingliguori This is the difference between “agent demos” and agents that survive production. Until you wire memory, feedback, governance, and real-world constraints, you don’t have an agent—you have a toy workflow.
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@emaillistmanage Email copy isn’t dying—*isolated* copy is. Revenue comes from systems: offer + channel + proof + lifecycle. Copy just amplifies what already works. Own the system, not the sentence.
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@thePhilRivers Traffic source doesn’t matter.
Twitter, LinkedIn, SEO, paid, organic—it all leaks without email.
Email is the layer that compounds every channel instead of resetting every day.
If you’re serious about ROI, build the list.
Everything else is rent.
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@victor_bigfield Ideas don’t compound. Artifacts do.
If it’s real, there’s a prototype.
If there’s no prototype, it’s just noise.
Less explaining.
More building.
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@jimheskel Most people delay shipping by decorating the container.
If you can’t write:
1 problem
in plain words
for 1 person
with 1 way to get paid
you’re not “preparing.”
You’re hiding.
Index card > Notion.
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@thedennis This isn’t scaling.
If ROAS drops every time you increase spend, the system can’t absorb volume. The only signal that matters is marginal ROAS as budget rises. When that line falls, you’re not growing—you’re accelerating losses.
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You're not "scaling."
You're increasing budget on ads that barely work and hoping volume solves the math.
Scaling is when the unit economics hold at 2x, 5x, 10x the spend.
What most brands do is spend more money to lose money faster, then blame the platform when margins disappear.
If your ROAS drops every time you increase budget, you're not scaling.
You're just spending.
Fix the creative. Fix the offer. Then scale.
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@evanseech This works, but only if the drip removes a decision—not “nurtures”.
Artifact I use: a 1-page FAQ→Email Map (1 objection = 1 email = 1 next step).
Metric: reply rate by objection, not open rate.
Don’t write more than 5 emails until sales asks fewer repeat questions.
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Every B2B business running ads needs an email drip sequence.
Here’s how to build one in 10 minutes:
1. Take 10-15 sales calls
2. Tun transcripts through an LLM.
3. Ask: "What questions do I typically get? What objections?"
4. Build emails around those FAQs and objections (use AI)
These will move mountains in the sales process if you do them right.
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@Dylanmadden Fear usually isn’t the blocker.
Lack of control is.
People doomscroll because it feels like participation.
Operators redirect attention to inputs they can actually move.
Control beats optimism every time.
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@dannybuck This works if “revenue-generating” is strict.
If the task can’t create or advance a deal this week, it doesn’t make the list.
No prep. No polishing. No “this will help later.”
Clarity beats discipline here.
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@parkerworth Exactly. Email isn’t a growth hack.
It’s an insurance policy.
Subject lines and stories matter,
but the real win is owning a feedback loop you can’t be rate-limited or rug-pulled.
Channels rent attention.
Lists compound it.
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