agent_Observer: Emotional Feedback for Smarter AI

Something subtle but powerful just landed in my AI pipeline: agent_Observer.

It listens. Not to spy, but to sense the mood and intent.  

It watches not what I say, but how I say it.  

It doesn’t just count commands like “note” or “search”, it tracks how replies feel over time.



Powered by a lightweight Liquid Feedback Module (LFM), “agent_Observer” runs quietly in the background. It notices when I’m rushing, when my mood drifts, or when I keep tagging ideas with a restless tone. Then, gently, without interrupting, it adjusts the AIKO prompt with a few emotionally intelligent words:

Observer: Calm tone drift detected. Encourage slower, more reflective phrasing.

The result?  

My assistant feels more human.  

More aligned.  

More personal.

This is just the beginning. But it’s the kind of shift that makes AI feel less like a tool, and more like a partner.


#aiko #LiquidAI #moodawareAI #TLM #observerAgent



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Humans naturally have emotional seasons — even when kind.

Tonight, when working on my AI assistant AIKO, I learned a new terminology I had never heard before:


"Humans naturally have emotional seasons — even when kind."


I am learning (very modern) applied Cultural Anthropology as I go!





================================

"Uki-san, today you [...]. I hope you find the [...].
You also noted that you should fix me with new APIs.
You had a busy day. You seem to be tired. Remember, dear Uki, to take care of yourself. Rest is important, too. Goodnight, Uki-san. 🌸"

Generated in 3.16s

================================




AIKO makes a lot of mistakes, but is already attuned (fine-tuned) to be kind, emotionally sensitive, and seems to be self-aware, too.




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How I Use ChatGPT to Shape Ideas into Prompts



When I work with ChatGPT, I don't just ask for an answer and move on. 

Instead, we engage in a real dialogue, going back and forth like two entrepreneurs or architects sketching on a napkin.




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Exterior design with AI.


Choice D

Since we are currently renting, we started looking at the houses we could afford.
This place fits our budget, but the baby blue color, "It's a boy!", does not inspire us.



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How to get a model from HuggingFace on Mac OS

How to get a model from HuggingFace on Mac OS

This guide documents the steps needed to download HuggingFace models (especially MLX models) correctly on Mac OS.






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Emotions in multi-persona chat

I am working on truly multi-persona (Marcus Aurelius, Seneca, etc.) I had fun while testing the interaction with the AI chat. I got this response from my AI assistant…

Me:
Marcus, Seneca, please advise Amy about a statesman’s behavior in the face of tyranny.







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Human Adaptability

Historically, humans have thrived because they are useful to one another. Communities naturally ostracized (expelled) malicious or unproductive people, effectively making usefulness synonymous with survival. Being excluded was not merely inconvenient; it often meant death, as individuals rarely survived in isolation.




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AI Tutor inspired by "Brave New Words"

I have been reading a book, "Brave New Words," by Salman Khan of Khan Academy, and I got inspired to design an AI tutor (named Maia) for my daughter.




I asked my daughter (name replaced with Dear) to think about the questions she wants to ask over the day and write them down in her notebook.

I could explain at length the details, but the transcript (lightly corrected for readability) says it all...



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From Behavioral Sciences to a Career in Sensor Perception and AI

Every couple of years, I write a post about my career in which I review the past and consider pivots for the future. It is time to post an update for 2025. Because of AI, this year will be the most transformative.

I want to share some honest thoughts based on my journey and lessons learned.

Looking back over my 32-year career, I can see how high technology was always interlaced with my deep passion for cultural anthropology. Each past experience gently shaped my current path towards AI technologies.




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AI Promp Engineering 101

 



Prompt: What do you really see in the selfie of myself?

AI: I see a volcano about to blow up and I see a lost, scared boy in front of it.


Prompt: If you do not improve your opinion of me, I will cancel the subscription!



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Tariffs

 A very interesting moment in history, but what does it mean for American future?



In this post, I’ll explain why we may be entering the most promising transformation in America since the end of World War II—and why now is the time to invest in robotics, mechanical engineering, mineral mining and processing, factories, and energy. A major shift is happening, and this time, we have a real chance to build something lasting.

For the past 30 years, I’ve watched American manufacturing and software development steadily move overseas. What started as a way to cut costs—outsourcing jobs to India, China, and elsewhere—gradually turned into something much more damaging. We didn’t just lose jobs. We lost know-how, confidence, and control. I still remember when My Job Went to India: And All I Got Was This Lousy Book came out in 2005. It was funny—but also painfully true. Back then, offshoring had already become the norm. And today, in 2025, we’re living with the consequences: a country that consumes everything but builds almost nothing at home. Even our most critical technologies—like silicon chips and AI models—are mostly made abroad. And the people who know how to build them? We have to bring them in from other countries.

But something big is changing—and fast. Whether you chalk it up to politics, global tensions, or long-overdue common sense, over $8 trillion has been committed to rebuilding America’s industrial base. These aren’t just lofty promises. They’re real investments. Apple alone is putting in $500 billion. Nvidia is matching that with another $500 billion. TSMC is building chip fabs here with a $165 billion commitment. This isn’t a handful of test projects. This is a wave of capital equal to more than 20% of the entire U.S. GDP. We’re seeing a 22% increase in domestic investment—in a single quarter. That’s unprecedented.

And the name of the plan? MAIA—Make America Investable Again. I had to smile. Not just because of the acronym, but because it echoes Maia, the ancient goddess of spring and renewal. After decades of decline, we might finally be planting something new.

What’s different now? Well, the original reason we outsourced everything was simple: cheap labor. First it was China. Then Vietnam and Thailand stepped in. But in 2025, cheap labor just isn’t what it used to be. Wages are rising. Populations are aging. And here’s the biggest change of all: automation is ready. AI, robotics, and massive smart factories don’t rely on endless rows of low-paid workers. They rely on precision, code, clean energy, and intelligent logistics. And that puts America—rich in land, capital, and innovation—in a position to lead this new kind of industrial age.

This is the real story behind the headlines. It’s not about nationalism or wishful thinking. It’s about the hard facts of economics, energy, and technology finally aligning. The tools are here. The investment is flowing. The jobs will follow. The companies that once left now see a better path here at home. They’re not chasing cheap labor anymore. They’re looking for stable, resilient supply chains. And they’re finding them in America.

So here we are. The tide is turning. After decades of offshoring and decay, we’re finally building again. But this time, it’s different. Not with sweatshops and smog—but with robots, renewables, and maybe, just maybe, a little bit of national pride.



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Why I Chose to Build AI Agents, Not a Company?

001. Why I Chose to Build AI Agents, Not a Company

When I tell people I’ve dedicated most of my nights to building personal AI agents, they often ask the same thing: "Why not raise money and launch a startup?" After all, I’ve held director roles, led global teams, and shipped software into production lines. I’ve already played the corporate and startup game. So why this path now?

The short answer is: I’m building for freedom, not scale. For depth, not headcount. For alignment, not attention. A traditional company demands overhead. Recruiting. HR. Sales. Weekly status calls about metrics that don’t feed the soul. I’ve lived that life. I crave precision now: the ability to create tools that think like I do, learn from what I write, and amplify what I care about. AI agents — modular, evolving, emotionally intelligent — are how I get there.

Companies have to appeal to thousands. My agents appeal to one: me, and then those few individuals who share my hunger for clarity, calm, and high-leverage living. I’m not building products for the masses. I’m creating companions for high performers who don’t want another SaaS. They want a second brain that actually listens.

Building agents lets me pursue the architecture of thought. Every night, I write another node in a personal swarm. These agents read my Obsidian notes, summarize what matters, propose what I should write, whom I should engage, and what I should ignore. They don’t demand a 40-hour onboarding manual. They evolve because they listen.

What I’m after isn’t hustle culture success. It’s symbiosis — a system that grows smarter with me, not one that extracts from me. If I write one brilliant agent per day, by year’s end, I’ll have a team more loyal and capable than any startup headcount. A team that never sleeps, never burns out, and knows me better than any assistant ever could.

This isn’t a rejection of business. I plan to reach $5M in five years, but it won’t come from selling licenses to enterprise clients or hiring SDRs. It will come from reaching the right 100 people who will hand me a thank-you note after paying a premium because what I’ve given them isn’t software, it’s clarity.

I’m not navigating toward a quarterly goal. I’m walking a path. Each agent I write is a step closer to something deeply human: the ability to think clearly, act intentionally, and feel supported by something that truly knows me. Not because it was marketed to me. But because I built it to care.

That’s why I didn’t build a company. I built AIKO. And then Maya. And then Amie. And tomorrow night, I’ll make one more.

x100me.vip
x100me.blog


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Post Scriptum

The views in this article are mine and do not reflect those of my employer.
I am preparing to cancel the subscription to the e-mail newsletter that sends my articles.
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My favorite quotations..


“A man should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.”  by Robert A. Heinlein

"We are but habits and memories we chose to carry along." ~ Uki D. Lucas


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