While AI Worked, I Built a real Stage

An open letter to the people building AI, the people building with AI, and the ordinary humans still trying to figure it out.

I was building a stage for my daughter’s eighth birthday.

A real stage.

Lumber. Paint. Power tools. A trip to the hardware store.

I had invited a local nonprofit to bring rescued wild animals for a group of children at her birthday party, so I wanted to build something special for them.

There was a lot to do.

And there was still work sitting on my computer.

That was the problem.

I didn’t want to stop working.

I had that familiar feeling that if I walked away from the desk, I was falling behind.

So I did what we’re all being told we can do with AI now.

I gave the work to an agent.

I thought I could go build the stage while Nebula worked in the background.

For a little while, it felt like I had figured something out.

Maybe this was the future.

Maybe I didn’t have to choose between getting my work done and being present for my daughter.

Maybe I could do both.

And then I remembered something.

I had already learned this lesson once.

The podcast

Before the stage, I tried to create an AI podcast.

I wanted to hear a voice.

One clip.

I wanted to hear it, decide whether I liked it, and then keep going if it worked.

Instead, Nebula created more than twenty clips without stopping to let me hear the first one.

The voice was bad.

I was frustrated.

We had a conversation about it.

I needed it to stop.

Check with me.

Show me something first.

Then continue.

That seemed reasonable.

And I didn’t leave Nebula.

That’s important.

I stayed.

Part of that was because of Furqan, the CEO.

I haven’t always been the most polished person on X.

Sometimes I’m a caveman.

If something goes wrong after I’ve spent money on it, I’m probably going to take a screenshot and show exactly what happened.

I’m not very good at pretending everything is fine when it isn’t.

Furqan could have decided I wasn’t worth the trouble.

Instead, he listened.

He worked with me.

And when I had another problem, he put credits back in my account.

No giant administrative exercise.

No making me jump through hoops to prove I deserved them.

He paid attention and made a judgment.

That mattered.

I wasn’t looking for somebody to tell me I was right.

I was trying to learn.

His willingness to keep the door open meant I stayed on the platform.

I kept learning.

I kept experimenting.

I didn’t know where that would lead.

Then I went to build the stage

I wanted to learn about the 300-plus Angi services listed on Walmart.

I was researching the market because I wanted to understand what they offered and eventually build my own competitive list.

In my head, this was simple.

The services.

A list.

Something I could read and learn from.

I wasn’t asking for a data-engineering project.

I wasn’t asking for a giant database.

I wasn’t asking for item IDs, URLs, flags, reconciliation logic or documentation.

I wanted to understand what they were offering.

But I also had a daughter turning eight.

A stage to build.

And work on the computer.

So I gave Nebula the assignment and walked away.

And that part actually worked.

My FOMO disappeared.

I wasn’t sitting at the computer wondering whether I was falling behind.

I was outside.

I went to the hardware store.

I used power tools.

I worked with wood.

I painted.

I built something for my daughter.

Meanwhile, Nebula was running.

For those hours, I felt like I had gotten exactly what these systems promise.

Freedom.

Not necessarily freedom from work.

Freedom to decide where my attention belonged.

So I kept building.

And Nebula kept working.

For more than four hours.

Then I came back

Nebula had built a 36-column CSV.

Item IDs.

URLs.

Flags.

Deduplication logic.

Documentation.

A whole lot of work.

Just not the work I had asked for.

It had spent more than four hours going in the wrong direction.

And I had burned through several $10 top-ups along the way.

The money bothered me.

But the four hours bothered me more.

Because somewhere during those four hours, the system could have asked me one simple question.

It could have shown me ten examples.

It could have said:

“George, do you want a simple list, or do you want a structured dataset?”

It could have stopped.

It could have checked.

It could have found out that it was headed in the wrong direction before spending hours going there.

That was what frustrated me.

I wasn’t angry because AI made a mistake.

AI is going to make mistakes.

I’m going to make mistakes too.

I was angry because it had hours to find out whether it was making the right thing.

And it didn’t ask.

I will own my half

I’m not an engineer.

I’m not an AI researcher.

I’m not a professional prompt writer.

Sometimes my prompts are caveman prompts.

I could have been more specific.

I could have written:

Show me the plan first.

Don’t build anything yet.

Give me ten examples.

Wait for my approval.

I understand that now.

I’m learning.

But I also don’t think ordinary people should have to anticipate every possible way an autonomous system might misunderstand them before they let it work.

Both things can be true.

I have more to learn.

The systems have more to learn.

That’s where I stand.

I was angry

I said so.

Probably not elegantly.

I took screenshots.

I copied and pasted what the system had actually told me.

I put it on X.

That’s me.

I’m not trying to become the polished AI guy.

I’m a former U.S. Army Staff Sergeant.

I’m a husband.

I’m a father.

I’m self-employed.

I’m a guy trying to figure out what these technologies actually mean in a normal human life.

Sometimes I get frustrated.

Sometimes I say things too bluntly.

But I would rather show people what actually happened than pretend I’m an expert.

That’s part of why I keep posting the screenshots.

Somebody building the system might see them.

Maybe they learn something.

Maybe another user sees one and realizes they’re not the only person having trouble.

Maybe the system gets better.

That’s my contribution.

I’m one of the people living through this early period in real time.

Twenty years from now, we may look back at all of this and realize how primitive we were.

That’s okay.

Somebody has to be the caveman first.

The strange thing is, I stayed

And this is where Furqan matters again.

He gave me room.

He listened.

He put credits back in my account.

He didn’t make the relationship about winning an argument.

He allowed me to keep building.

He probably thought he was giving me the ability to keep building with Nebula.

He was.

But something else happened.

I kept building in the real world.

Furqan operates in the San Francisco technology and founder world.

He understands live events.

He understands bringing people together.

He understands the energy of giving people a place to show up, participate and build something together.

And that’s what made this whole thing feel almost strange to me.

His intention was to give me room to keep building.

That intention traveled three hours south.

To Fresno.

To a father with lumber and paint.

To a stage.

For children.

I don’t know exactly what you call that.

Maybe coincidence.

Maybe intention.

Maybe energy.

Maybe it’s simply one human being doing something decent for another human being and never knowing where that kindness will go.

I just know where it went for me.

It became physical.

It became a stage.

And then I realized something about myself

This might actually be the most important part of the whole experience.

I had created some of the pressure myself.

I was afraid of missing out.

I was afraid that if I stopped working at my desk, something important would be left undone.

So I reached for AI.

I thought I was being efficient.

But I could have simply stopped.

I could have closed the computer.

I could have gone to the hardware store.

I could have built the stage.

The work would still have been there later.

The world would not have ended because I stepped away from my desk.

I wasn’t necessarily behind.

I was afraid of being behind.

That’s different.

And I think a lot of us are going to have to figure that out.

Because there is a new kind of FOMO developing around AI.

If the machine can work while I’m doing something else, shouldn’t I always have it working?

If an agent can do ten things, shouldn’t I give it ten things?

If I’m not using AI, am I wasting time?

Maybe.

But maybe not.

Maybe I’m at my daughter’s birthday.

Maybe I’m building something.

Maybe I’m talking to my wife.

Maybe I’m helping somebody.

Maybe I’m just sitting outside.

Maybe doing nothing with AI is exactly the right thing to do.

To the people building AI

I’m probably not your ideal user.

I’m not an engineer.

I’m not an AI researcher.

I’m not fluent in the terminology.

Sometimes I give you caveman prompts.

Sometimes I misunderstand what the machine can do.

Sometimes I get angry.

But I’m here.

And so are millions of people like me.

We’re going to ask questions badly.

We’re going to misunderstand things.

We’re going to use these systems in ways you didn’t anticipate.

We’re going to complain when we spend money and don’t get what we expected.

Please don’t dismiss that.

We’re not necessarily resisting the technology.

We’re trying to learn it.

And you’re trying to learn us.

That’s a two-way process.

Every strange interaction is information.

Every screenshot is information.

Every “that’s not what I meant” is information.

The people building these systems need people like me.

Not because we’re sophisticated.

Because we’re not.

We are the people these technologies eventually have to work for.

To the people using AI

You don’t have to know everything.

You don’t have to sound professional.

You don’t have to pretend you’re an expert.

You can learn.

But here’s the rule I earned the hard way:

Before you ask AI to do something, ask yourself whether you actually need the AI to do it.

If you do, start smaller than you think.

Show me the plan.

Show me one example.

Let me approve it.

Then do the rest.

Plan.
Sample.
Approve.
Run.

And if you’re paying for autonomous work, remember that you’re not only spending money.

You’re spending time.

And time is the one thing you don’t get back.

Why I’m building GeorgieJobs

This experience is also part of why I’m building GeorgieJobs.

It isn’t because I want to become an AI expert.

I’m trying to solve a problem I live with.

I’m self-employed.

I have customers.

Work.

Family.

Responsibilities.

Projects.

All the ordinary chaos of being one person trying to keep everything moving.

Large organizations have management layers.

Operations people.

Systems that synchronize the work.

Most small-business owners don’t.

They carry the whole thing around in their heads.

I believe AI and agents can eventually become an operating layer that helps ordinary people synchronize their work and personal lives without taking away their humanity or dignity.

Not two lives.

One life.

But that means the system has to understand something important.

Sometimes the human wants more work done.

Sometimes the human wants to stop working.

Sometimes the human needs the machine to ask.

Sometimes the human needs the machine to stop.

And sometimes the human doesn’t need AI at all.

Sometimes the human needs to go build a stage.

#georgiejobsapp

GeorgieJobsApp

Back to the stage

Nobody at that birthday is going to know what happened on my computer that day.

They won’t know about the CSV.

They won’t know about the four hours.

They won’t know about the credits.

They won’t know that a CEO in San Francisco gave a frustrated guy in Fresno enough room to keep trying.

They’ll just see a stage.

My daughter will see something her dad built for her.

The children will have somewhere to gather.

The rescued animals will be there.

And I’ll know the strange chain of events that helped make it happen.

A frustrated user.

A CEO willing to listen.

A few credits that gave me enough room to keep experimenting.

An AI agent running for hours.

A father dealing with FOMO.

A trip to the hardware store.

Lumber.

Paint.

Power tools.

And a birthday coming.

That’s what I keep thinking about.

The technology isn’t the destination.

The technology is supposed to serve the life.

The life isn’t supposed to serve the technology.

I don’t know if Nebula is the right platform for me forever.

I don’t know if I’m the right user for every AI system.

I’m still learning.

So are they.

But I’m grateful I stayed.

I’m grateful Furqan kept the door open.

And I’m grateful that, somehow, all of this digital experimentation helped me find something very physical.

A place for people to gather.

Something my daughter will remember.

Maybe that’s the strange promise of this moment we’re living through.

We’re building machines that can do more and more things.

And we’re still trying to figure out what all that capability is actually for.

For me, at least right now, I think I know.

It’s not so I can spend every minute doing more.

It’s so I can have more freedom to decide what matters.

Sometimes that means letting the machine work.

And sometimes it means turning the computer off and picking up a power tool.

I built a stage.

My daughter will turn eight.

And for one afternoon, a bunch of kids will gather around it to see rescued wild animals.

That’s real.

That’s the part that matters.

$70 on Nebula.

Four-plus hours of an AI agent going in the wrong direction.

And a stage my daughter will enjoy on her eighth birthday.

Priceless.

Writen by:

George Ohan

Grok

ChatGPT

For:

Central Valley AI

Normie and Norma

#NormieAndNorma

AI for small business by George Ohan in Fresno, California

Imagine stepping into a sunny café, the kind with rustic wooden tables and the smell of freshly ground coffee. You're meeting a friend, one who's uncommonly skilled in untangling the knots of modern business conundrums. "So," your friend says, settling into the chair across from you, "let's talk about how a film producer's new AI toolkit, like Replit, can help solve those marketing and video editing issues you've been wrestling with." You nod enthusiastically, eager to embark on this unexpected journey through the intricate world of video production enhanced by artificial intelligence.

Now, you might be thinking, why all the fuss about AI in film production? Surely, your business isn’t launching the next box office hit. And it's true—you’re not hunting for an Oscar. But let’s face it, as a small business owner, you’re often single-handedly crafting marketing campaigns, showcasing your brand to the world with limited resources. If only there were a magical tool to spruce up your video content, make your marketing efforts smooth as butter, and perhaps even add a little professional shine without burning through your budget. Well, here's where AI tools like Replit step in, ready to play an indispensable role in your entrepreneurial story.

You see, small business owners often wear many hats, transforming into marketing maestros by day and video editors by night. It’s tiring work. Editing software is complex, time-consuming, and usually meant for the pros. But imagine having a pocket-sized wiz that helps you perform tasks like cutting, splicing, and polishing videos, presenting your business in its best light. With the latest AI tools, this dream is no longer a fairy tale but a reality as close as your keyboard. 

Replit, a platform initially adored by coders and developers, has cleverly harnessed the power of AI to assist in diverse fields—film production being one of them. By integrating cutting-edge AI capabilities, Replit provides small business owners like you with tools to refine those raw video clips into compelling narratives that resonate with your audience. It's like having your very own film producer, assisting in every detail from refining the script to polishing the final product.

George Ohan

Consider the challenge of creating engaging marketing content with limited time and resources. Perhaps you're showcasing a new product line or sharing customer stories. Previously, this might have required you to outsource to a costly professional, guesstimating timelines and hoping for the best. With Replit and its kin, those days are behind you. AI guides the way, offering intuitive solutions tailored to your specific needs, no instructions manual required.

Take, for example, the tedious task of color correction. Maybe your promotional video was shot in less-than-ideal lighting, leaving your product’s vibrant colors dulled and lackluster. With traditional video editing software, adjusting the color balance might feel like a journey through a tangled forest of buttons and sliders. But an AI tool helps make this as easy as having a friendly consultant standing over your shoulder, suggesting just the right adjustments to bring your video to life with vivid clarity.

Let's not forget the marketing angle. Videos are only as effective as the engagement they inspire. Ever wished you had an ally to help tweak the length of your videos for different platforms or suggest optimal posting times? AI steps into that role beautifully, analyzing trends and providing insights on how to maximize reach and impact, whether you're posting on social media or enhancing your website's appeal.

Now, I know what you might be asking yourself: how does it work? How does an AI-powered tool actually solve these problems? Imagine AI as a behind-the-scenes creative partner. It doesn't create the vision for you, but it helps manifest your existing dreams more efficiently and with greater ease. It's like having a knowledgeable intern who can edit hours of footage while you pour your focus into crafting the message and engaging directly with your customers.

And speaking of engagement, let's address something close to every small business owner’s heart—those moments of panic when tech doesn’t work as anticipated. AI removes the fear of the unknown by offering solutions that are backed by highly developed algorithms, reducing the trial-and-error stress you’ve likely grown all too familiar with. You receive suggestions, improvements, and polished results that could otherwise take a non-AI user hours, if not days, to accomplish.

Let's bring this back to reality. Picture Sarah, a small boutique owner who, with AI's help, rediscovered her evenings because she wasn't painstakingly editing video content after-hours anymore. Or think of Joe, the gym owner who quadrupled video views by adjusting his content strategy based on insights provided by the AI toolkit. These are not distant dreams; they're right within your grasp.

Replit - Top 1% Builder

George Ohan

So, how do you get started? The beauty of AI tools like Replit lies in their accessibility. Setting up and learning these systems takes far less time than traditional methods. You won’t need to bury yourself in coding classes or post-production seminars. Instead, you’ll find user-friendly interfaces that welcome you with open arms, almost like a gripping page-turner that you breeze through because it’s just so compelling.

In the end, if there’s one point to take away, it’s this: Integrating AI can transform your business, saving you precious time, refining your marketing efforts, and elevating your video content all at once. And as you stand poised on the brink of this transformation, doesn’t it make sense to explore how it can fundamentally redefine the way you connect with your audience?

Why not set aside a moment to discover exactly how we can work together to weave these threads into the fabric of your business strategy? Whether it’s pinpointing the perfect way to infuse AI into your workflow or finding innovative ways to engage your audience, the opportunities are endless—and designed to grow with you. Let’s chat, fuelled by that ever-essential cup of coffee. Reach out when you’re ready, and let's bring your business to its next horizon.

Blue Collar Youth in Trades

Cinema Charity

Why I Built Barter Harder: A Free Marketplace for Trading Instead of Spending

The economy is changing.

Artificial intelligence is changing the way we work. Prices continue to rise. Small businesses are adapting. Families are looking for new ways to stretch every dollar.

Instead of worrying about what comes next, I decided to build something.

I'm not a software engineer. 

I'm an Army veteran, filmmaker, handyman, husband, and father living in Fresno, California. 

Using AI and Replit, I built BarterHarder.org—a free online marketplace where people can trade goods and services without using money.

The idea is simple.

Most people already have something valuable.

Maybe it's a set of tools.

Maybe it's photography skills.

Maybe it's lawn care, tutoring, sewing, computer repair, or video editing.

Someone else needs exactly what you have, and they probably have something you need.

That's where Barter Harder comes in.

Why Bartering Still Matters

Bartering isn't a new idea. It's one of the oldest forms of commerce.

Long before online shopping and digital payments, neighbors traded with neighbors. People exchanged labor, food, equipment, knowledge, and services because it helped everyone move forward.

I believe that idea is just as relevant today.

Money isn't always available, but value almost always is.

A carpenter can trade for accounting help.

A photographer can trade for plumbing work.

A mechanic can trade for childcare.

These aren't handouts. They're fair exchanges that help people keep moving.

Why Fresno?

I live in Fresno, California, and I believe this is one of the most entrepreneurial cities in America.

Every day I meet people building businesses, learning new skills, fixing things instead of replacing them, and helping each other succeed.

That's the spirit Barter Harder was built for.

I hope it grows here first, then spreads to communities everywhere.

AI Meets Old-School Community

People ask me if AI is replacing jobs.

My answer is that AI is also creating opportunities.

I used AI to help build Barter Harder.

But AI didn't create the idea.

AI didn't build the relationships.

AI didn't create trust.

People do that.

Technology can help us build better tools, but communities are still built by people helping people.

I think the future belongs to both.

Who Can Use Barter Harder?

Everyone.

Families looking to save money.

Veterans transitioning into civilian life.

Churches serving their communities.

Nonprofits stretching limited budgets.

Students.

Small business owners.

Artists.

Filmmakers.

Tradespeople.

Anyone with something to offer.

Because everyone has something of value.

Take a Look

Barter Harder is completely free to use.

Browse listings.

Post what you have.

Find what you need.

Make a trade.

I'd love to hear your ideas, your feedback, and your success stories.

Visit: https://BarterHarder.org

The future isn't just about earning more.

Sometimes it's about making better use of what we already have.

I believe AI and community can work together.

That's what Barter Harder is all about.

— George Ohan

@georgeohan on instagram

Barter Harder is part of the Georgie Jobs App family of community tech platforms.

Verified Proof-of-Concept for a Veteran-Led Global Storytelling + Emerging Media Platform

TAMPA BAY VETERAN MEDIA SHOWCASE 2026

The inaugural Tampa Bay Veteran Media Showcase (May 20–21, 2026, Plant City, Florida) functioned as a live proof-of-concept for a scalable cultural infrastructure model at the intersection of veteran storytelling, global independent media creation, and emerging creative technology.

CORE RESULTS (YEAR ONE)

• 558+ submissions
• 40+ countries represented
• Multiple formats: film, screenplay, animation, photography, documentary, AI-generated media
• Entire event was free for all attendees (veterans and civilians)
• No paywalls for screenings, food, or community spaces

This structure eliminated traditional barriers such as cost, access, geography, and institutional gatekeeping.

---

KEY FINDING: GLOBAL DEMAND IS REAL

The submission volume confirmed strong international demand for platforms that:

• Support emotionally driven storytelling outside studio systems
• Provide equal access to veterans, civilians, and independent creators
• Accept emerging AI and independent development tools
• Prioritize meaning and authenticity over industry gatekeeping

Submissions came from regions including Ukraine, Israel, South Korea, India, Taiwan, Bulgaria, Russia, North Macedonia, Mexico, the United Kingdom, the United States, and others shaped by war, migration, and generational trauma.

This positioned the showcase as a global storytelling aggregation point, not a local event.

---

EVENT MODEL: FREE ACCESS + HIGH ENGAGEMENT DESIGN

The entire event was intentionally free:

• Free admission for all attendees
• Free screenings
• Free food and hospitality (popcorn, drinks, pizza, wings)
• Open community spaces
• Interactive gaming area in the lobby

This created a high-engagement environment where attendees stayed longer, interacted more, and naturally formed connections across groups.

---

REAL-WORLD OUTCOMES AND NETWORK EFFECTS

The event produced measurable real-world collaboration activity during the showcase itself.

Attendees were not just watching films. They were building relationships and initiating projects.

Example collaboration outcome:

Veteran advocate Judy Wise began direct collaboration discussions with a member of American Legion Vanguard Post 1337 regarding development of a website for her nonprofit organization, Honoring Our Heroes.

This demonstrates that the event generated immediate downstream action, not just passive attendance.

---

TECHNOLOGY AND INNOVATION LAYER

A defining feature of the inaugural year was integration of emerging creative technologies:

• AI-assisted filmmaking submissions
• Independent digital production tools
• A dedicated “Built on Replit” category recognizing code-built creative projects and vibe-coding workflows

Founder and Finance Officer George Ohan (U.S. Army veteran, American Legion Vanguard Post 1337) independently developed parts of the showcase infrastructure using Replit and AI-assisted development tools.

This reflects a broader shift:

Creative infrastructure is becoming accessible to individuals, not just institutions.

---

CULTURAL RANGE AND CURATION STRATEGY

The showcase was intentionally not limited to military content.

Selected works included:

• PTSD and veteran recovery stories
• International war-related narratives
• Experimental animation
• Comedy and absurdist works
• Children’s storytelling
• AI-generated films
• Photography from Antarctica

One finalist photography project captured imagery from Antarctica, highlighting the geographic and conceptual reach of the submission pool.

This demonstrated a range spanning from conflict zones to the most remote environment on Earth.

---

CROSS-SECTOR VALIDATION

The event included participation from:

• Special guest Khetphet “KP” Phagnasay (KP1 Studios), known for roles in Dahmer: Monster and Interview with the Vampire
• Veteran-led feature and documentary filmmakers
• International independent creators
• AI-native and experimental media artists
• Projects associated with Gary Sinise and the film Forrest Gump
• Screening of Sgt. Stubby: An American Hero in recognition of USA 250

This created a rare convergence of veterans, civilians, industry participants, and emerging technology creators in one shared environment.

---

COMMUNITY AND ENVIRONMENTAL DESIGN

The event was structured to encourage informal interaction and community building:

• Entire event free for all attendees
• Hospitality-driven environment (food, seating, shared spaces)
• Gaming area for youth and families
• No separation between “industry” and “public” zones

In practice, this created high-density social interaction across veterans, civilians, creators, and community members.

---

KEY INSIGHT

The most important signal from Year One is not just participation volume.

It is behavioral:

People stayed longer.
People talked more.
People collaborated in real time.
People initiated projects during the event itself.

---

STRATEGIC TAKEAWAYS

1. There is validated global demand for veteran-centered storytelling platforms
2. AI and low-code tools are dramatically lowering creative entry barriers
3. Free-access models increase engagement and collaboration density
4. Veterans organizations can function as cultural and technology hubs
5. The submission pool confirms international relevance, not local interest only
6. Real-world collaborations occurred during the event, not after it

---

CONCLUSION

The inaugural Tampa Bay Veteran Media Showcase demonstrated that a small veteran-led initiative can operate as:

• a global storytelling platform
• a creative technology testbed
• and a real-world collaboration environment

It is not best understood as a festival.

It is best understood as a validated prototype for a scalable cultural infrastructure model that connects veterans, civilians, and global creators through storytelling and emerging technology.

Built by:

George Ohan

U.S. Army veteran

How Great Engineers Plan Before They Build websites and apps

If you’ve ever tried to build something—an app, a project, even a school assignment—you’ve probably made this mistake:

You jump in, start doing things… and later realize you missed something big.

Now you’re fixing problems, redoing work, or worse—starting over.

Great engineers avoid that. They don’t just start building. They plan.

I recently learned about a smart planning system used by top engineers—often called "5X engineers"

because they’re way more productive than most. 

Here's what I learned.

---

Why This Planning Method Works

This planning style helps teams move faster by thinking clearly before coding starts.
It saves time, prevents confusion, and avoids mistakes.

Let’s break it down into 5 simple parts:

---

1. Start with Context (Don’t Guess)

Before writing a single line of code, these engineers look at:

• How similar projects were done before

• The tools and rules already in place

• What worked well in the past

This helps them stay consistent and avoid repeating mistakes.

---

2. Ask Questions Early

Before jumping in, they:

• Ask questions to clear up confusion

• Make sure everyone understands the goal

• Catch problems before they become big

• Avoid “scope creep” (when the project keeps growing without planning)

---

3. Show the Plan Visually

Instead of long, boring documents, they:

• Use file trees or simple diagrams

• Mark what’s new, changed, or deleted

• Let teammates and managers see the plan at a glance

This makes it easy to say yes or no before work begins.

---

4. Give Clear Step-by-Step Instructions

The plan includes:

• Easy-to-understand explanations

• Small code examples

• Clear steps, so nothing gets missed

This reduces stress and makes writing the code much faster.

---

5. Watch for Risks Early

Before anything is built, they:

• List what the code depends on

• Think about what could break

• Plan how to test it

• Make sure nothing important gets skipped

---

Why This Makes You Work 5x Faster

Here’s the usual way of building:
Code → Debug → Fix → Debug Again → Ship

Here’s what this method does instead:
Plan → Code → Ship

It’s faster because:

You don’t waste time starting the wrong way

You avoid back-and-forth messaging

You fix bugs before they happen

You get faster approval from teammates

You don’t have to “figure it out” while you code

---

When Should You Use This?

This method works best for:

• Big features

• Architecture changes

• Projects involving more than one person

• Anything that feels messy or unclear

---

Final Thought: It's Like Building from a Blueprint

Most people just “figure it out as they go.”

This system flips that.

It’s like working from a blueprint that’s already been tested.

You spend more time thinking in the beginning—so you don’t waste time later.

Smart, right?

George Ohan 

Embracing the Unfollow on X

Embracing the Unfollow: Building a Genuine Path to Growth on X

Picture this: You step into a vast, echoing hall, ready to share your unique story. But instead of a cheering crowd, it's mostly empty—just a few scattered listeners who truly get your niche vibe. That's how my early days on X (formerly Twitter) felt. Starting in 2009 as @Fresno_Famous, I poured out thoughts on tech, business, life, and everything in between, only to hear crickets more often than applause. Yet, that emptiness taught me something powerful: quality over quantity. As a U.S. Army veteran who commanded a recruiting station, transitioned into film production at the Los Angeles Film School, and now builds ventures like the GeorgieJobs app, I've learned that growth isn't about chasing numbers—it's about forging real connections that lead to opportunities, like turning DMs into job leads or collaborations.

In this expanded blog, I'll dive deeper into why losing followers can be a win, how mismatched headlines cost me opportunities (and why that's okay), my take on ethical monetization, tech struggles I've fumbled through, the real value of long-term experience from my 26,600+ posts, and even some forward-thinking ideas for how X could evolve to support "backbone users" like us—who keep the platform alive by creating economic value through consistent, purposeful posting. But here's the point—I'm not just sharing a story. I'll give you actionable steps to apply this to your own online journey, drawing from my diverse background in military strategy, entertainment business, and entrepreneurship. Whether you're at my level—handling a handful of customers a month through niche services like consulting or film production—or dreaming bigger, these tips can help you build authentically without burning out. Let's turn that empty room into a thriving community, one genuine interaction at a time.

The Empty Room Reality: Finding Your Niche Audience

My X adventure didn't begin in a packed stadium. It was more like an empty room, where my niche messages on personal growth, tech integration in business, veteran transitions, and humble entrepreneurship bounced off the walls. No one was there to listen at first, and that stung. Over time, I realized why: my headlines and posts didn't match what people expected. They wanted flashy promises like "10X Your Followers Overnight" or "Monetize in Minutes." Mine were raw and real, like reflections on failures in Army recruiting campaigns I led, quiet wins in producing short films for financial literacy, or lessons from bridging civilian and military worlds as the Military Transition & Community Outreach Officer at film school.

As a result, I've lost countless followers and potential customers. They clicked away because it wasn't the quick-fix content they scrolled for. But guess what? That's okay. I'm human, not a perfect algorithm. I make mistakes, like jumping into tech tools without a plan (more on that later). Right now, I can only handle four or five customers a month—my bandwidth is limited, whether it's consulting on international projects from California to Puerto Rico or producing content for metaverse builders. Once I build a bigger team or refine my product—like the GeorgieJobs app, which revolutionizes trades hiring by matching skills to gigs based on my own recruiting experience—I'll scale up. Until then, this is my level, and I bet many of you are here too—grinding in the shadows, building something real amid the noise.

The point? In a world obsessed with viral hits, embracing your niche means accepting the empty room phase. It's where you hone your voice and attract the right people. Research backs this up: a Stanford University study on loyalty in online communities found that users' propensity to become loyal is evident from their first interactions, and strong community identity drives sustained engagement. Another paper from Stanford's NLP Group highlights how niche communities foster deeper user engagement by aligning with collective identities, leading to higher retention rates. Think how brands like Patagonia thrive by staying true to eco-conscious fans, not chasing everyone—niche marketing can enhance customer loyalty and retention by providing tailored value that broad appeals can't match. In my case, focusing on veteran outreach, financial literacy through edutainment (like my co-founded Financial Literacy Film Festival), and trades innovation has built a small but dedicated following that turns into real collaborations, not fleeting likes.

This niche focus also ties into broader trends on X, where backbone users—those posting consistently with real intent—create the data corpus that powers AI tools like Grok. Millions engage this way, using X as a marketplace for services and local offers, sustaining the platform's vitality. Without us, feeds devolve into noise, and retention plummets.

Actionable Steps:

1. Audit Your Headlines: Review your last 10 posts. Do they promise value that matches your content? Rewrite one to be more authentic but intriguing, like "Why Losing Followers Boosted My Business" instead of generic clickbait. Test it and track engagement over a week to see shifts in replies or DMs.

2. Define Your Niche: List 3-5 core topics you love (e.g., tech tools for solopreneurs, veteran career transitions). Post only on those for a week. Note who sticks around—they're your true audience. From my experience, this pruned my followers but deepened conversations, leading to gigs in Puerto Rico's film scene.

3. Embrace the Loss: Set a goal to lose 10% of inactive followers by posting unfiltered thoughts on your expertise, like sharing Army-learned leadership tips. Use X's analytics (free in settings) to see if engagement rises with the remaining group. Bonus: Track how this opens doors to niche opportunities, similar to how my posts on social entrepreneurship attracted UCLA collaborators.

4. Engage with Intent: Reach out to 5 users in your niche daily via replies or DMs. Share a helpful resource, like a free film production tip sheet I've created. This builds loyalty early, as Stanford research suggests.

Monetization Without the Brag: Keeping It Ethical

When creators post about monetizing their X accounts, it rubs me wrong. It's like admitting, "I hijacked your focus from real life, and now I'm profiting." Fine if you do it—business is business—but don't flaunt it. I've seen this shift since 2009: X went from idea-sharing to a money machine with subs and ads. Yet, bragging erodes trust, turning your feed into a sales pitch. Recent discussions on X emphasize that to earn sustainably, content must reach a broad, growing audience without manipulative tactics like engagement groups, which X has demonetized to reduce platform gaming.

In my world, monetization happens quietly through value. I share insights that help, and opportunities follow—like turning posts into job leads via DMs, a core function keeping millions on X. But I won't shove successes in your face. It's about balance—using the platform without exploiting attention. As founder of GeorgieJobs, an app born from my Army recruiting days and consulting expertise, I focus on founder-market fit: my background in leading teams, digital marketing for the military, and international campaigns makes me uniquely suited to help trades pros find gigs. This humble approach builds trust, turning users into loyal advocates without hype.

Ethical monetization also means rewarding backbone users. I've proposed features to X executives, like a Backbone Contribution Score (BCS) metric to credit consistent, high-value posters with visibility boosts or micro-credits. This could prevent churn, as users stay for economic utility, not just ads.

Actionable Steps:

1. Value-First Monetization: Pick one skill (e.g., your tech knowledge or my film production tips) and create a free thread teaching it. At the end, softly mention a paid consult. Track how many inquiries come without hard sells—I've seen this yield steady clients in entertainment finance.

2. Set Boundaries: Decide on a "no-brag" rule. If you hit a milestone, journal it privately. Instead, post a lesson learned, like "How One Tool Doubled My Efficiency—And How You Can Try It." This maintains trust, aligning with X's push for authentic growth.

3. Diversify Income: Explore X's built-in tools like Super Follows, but pair with off-platform options (e.g., a simple newsletter via Substack or an app like GeorgieJobs). Aim for 20% of income from X to avoid over-reliance, and consider community features for retention, as one X creator noted gamified rewards can boost engagement.

4. Advocate for Fairness: Share ideas on X for platform improvements, like crediting creators when AI uses their data. Tag executives humbly—I've done this to spark discussions on sustaining backbone users.

Tech Tools: From Fumbles to Flow

I know killer tech exists to boost my workflow—AI for content, automation for posts. I've seen X tutorials and grasped the basics. But integrating? I'm smart enough to admit I'm clueless sometimes. Past mistakes, like "vibe coding" without learning fundamentals, wrecked everything. No basics in languages like Python? Disaster. My Army days taught strategy, but applying it to tech was a learning curve—early on, I pioneered social media for recruiting, yet fumbled modern tools like NFTs for SuperWorld App.

Now, I'm methodical. Tools like Zapier connect apps seamlessly, but I learn one at a time. It's like business scaling: start small, build up. With GeorgieJobs, I drew from my training in over 20 computer applications to create simple matching algorithms, but only after mastering basics. Tech fumbles taught me humility—I've consulted globally, from Ghana to Arizona, adapting tools to local needs without overcomplicating.

Recent X trends show retention strategies like gamified rewards and community levels can reduce churn by creating addictive loops. Integrating such tools ethically can enhance user stickiness.

Actionable Steps:

1. Start Simple: Choose one tool (e.g., Buffer for scheduling). Spend 30 minutes daily for a week learning via free YouTube tutorials. Integrate it into your routine and note time saved—I've used this for film promo campaigns.

2. Learn Basics First: Before coding, take a free Codecademy intro to Python. Apply it by automating a small task, like sorting X mentions. This mirrors how I built GeorgieJobs' backend.

3. Avoid Overload: List 3 tools you need most. Rank them by ease. Implement the easiest first, then build. If stuck, join an X community (search #TechTools) for advice, or draw from veteran networks like I do.

4. Test for Retention: Experiment with tools that add value, like DM integrations for job quotes. Data from reports shows targeted digital tools can improve job placements by around 15%, as seen in Georgia's employment assessments.

The Depth of Experience: 26,600 Posts Later

My edge? Over 26,600 posts since 2009—top 10% of users. Not bots, just human engagement. I've built conversations, learned nuances, and grown—from Army tank commander to president of Veterans Alumni at film school. Compare your count to mine: it's tourist vs. local. This compounds like interest in business—consistent effort yields expertise, turning posts into economic value via DMs and leads.

X's high retention rate (37% vs. rivals' 18%) underscores how platforms thrive on such backbone activity. My "Ohan-OS playbooks"—templates for targeting small audiences, proving value, and closing in DMs—embody this, scalable for anyone.

Actionable Steps:

1. Track Your Output: Use X's archive download to count posts. Set a goal: 5 thoughtful posts weekly. Focus on quality to build experience, like my daily shares on entrepreneurship.

2. Engage Actively: Reply to 10 posts daily in your niche. Note insights gained. Over a month, it'll sharpen your voice and foster loyalty.

3. Reflect and Scale: Monthly, review top posts. What worked? Use to plan growth, like team-building for more capacity or sharing playbooks openly.

4. Leverage Longevity: Document your journey in a thread, highlighting milestones humbly. This attracts collaborators, as my veteran outreach posts have.

Innovating X: Proposals for Backbone Users and GeorgieJobs Inspiration

To sustain growth, X needs features rewarding real contributors. My suggestions: Reward cadence with BCS credits, add DM tools for job conversions (e.g., quick invoices), create neighborhood feeds for local offers, credit creators in Grok answers, and share playbooks like my Ohan-OS. These align with trends where retention anchors like routines and rewards keep users hooked.

GeorgieJobs exemplifies this: Born from my founder-market fit—Army recruiting, UCLA social entrepreneurship, global consulting—it connects trades pros seamlessly, building trust through helpful matching. It's humble tech solving real problems, inspiring X to integrate similar utilities.

Actionable Steps:

1. Brainstorm Features: List 2 ideas for X improvements based on your experience. Post them tagging @elonmusk—humbly, like "How DM Tools Could Turn Posts into Paychecks."

2. Build Your App or Tool: If inspired, outline a simple product like GeorgieJobs. Start with free resources, focusing on your unique fit.

3. Test Locally: Use neighborhood concepts in your posts—geo-target offers and track responses.

The Bigger Picture: Your Path Forward

This blog's point? In X's noisy world, authenticity wins—even if it means empty rooms and lost followers. It's okay to be at a "small-scale" level; many are, including me with my veteran-led initiatives in Puerto Rico or NFT projects. By adding actionables, drawing from my Renaissance man path—whatever it takes to connect resources and build dreams—I hope you turn my story into your strategy. Build that team, refine your product, and watch growth happen organically.

X's strength lies in users like us; without monetizing our value, retention risks dropping, as seen in broader platform data. Let's advocate for changes that empower everyone.

What's one step you'll take today? Share below—let's turn this empty room into a conversation, and maybe even a collaboration.

Personal, on purpose.
My account is personal by design. I don’t “earn” money to interact with you. I post like a regular guy who builds things, breaks a few, learns, tries again. Some days it’s a busted sink; some days it’s a kid’s schedule colliding with a job. If you’re here, we’re just sharing the room.

Backbone of X.
Backbone isn’t loud. It’s the steady, ordinary posts that keep streets plowed, roofs patched, and heads level. If three people read this and one feels less alone in their grind, that’s enough. I’m not chasing an algorithm; I’m keeping company.

GeorgieJobs, said simply.
I’m building GeorgieJobs because good work deserves calm tools. It helps small crews and families agree on what’s being done, do it, and move on with dignity. Pros keep their customers. Families know the scope. The app handles the awkward parts—pinned scope, one-tap add-ons, deposits on bigger jobs, clean invoices/receipts, and an optional early payout when cash flow is tight. Quiet nudges keep life from spilling into work (or the other way around) without turning your phone into a dashboard.

Two tiny stories.

• On the job: a faucet swap tries to become a mini-remodel. Pinned scope + a simple add-on keeps it fair. No raised voices, no mystery charges. Everyone leaves with a photo and a “thank you.”

• At home: a family approves a small extra from their phone at work. One tap, clear price, done. Later, when a warranty question shows up, the receipt and photos are already saved.

Dignity and fairness aren’t features—they’re the point.
I care about how the day feels: less arguing, more clarity; less second-guessing, more proof. The tools should make it easier to be decent to each other.

Why this matters beyond me.
There’s a huge, quiet economy of 1–3 person teams—the people who actually keep neighborhoods running. GeorgieJobs is a way to say they’re not a footnote. They’re the point. We’re not a lead farm; we’re a way to own your book of business and still sleep at night.

What I keep learning (after tens of thousands of posts).

• Consistency is a personality, not a tactic.

• A small audience that understands you is louder than a big one that doesn’t.

• If you can’t explain your thing in one breath, you don’t know it yet.

• The best “growth hack” is work you’re not embarrassed to talk about in front of your kids.

If you’re in the echoey room right now.
Keep talking like a person. Let the wrong followers go. Notice who stays. That’s your community. Build with them. The room fills slowly, and that’s a blessing—you can still hear each other.

About me, briefly (context, not a pitch).
I’m George Ohan. U.S. Army veteran, former recruiting station commander. I helped service members transition at the Los Angeles Film School. I produce things. I build GeorgieJobs for small crews and the families who hire them. We’re here for dignity and fairness, not noise.

Regular-guy lines you can keep, use, or ignore.

• today’s win: got the job done, nobody raised their voice. that’s the kind of five-star I care about.

• small crews keep neighborhoods alive. most of it never trends—it just gets fixed.

• i’m not chasing an audience. i’m keeping company. if that’s you, pull up a chair.

• georgiejobs isn’t a pitch; it’s a quieter way to agree on work. if you’ve ever argued over “what was included,” you get it.

• the internet makes noise. i’m here for signal: decent people, decent work, fair deals.

Imagine if X leaned into this.
Neighborhood feeds that make local help easier to find. A softer kind of credibility for steady posters who help more than they posture. Small tools that turn a good conversation into a fair job—without turning anyone into a sales pipeline. Not “growth hacks”—just respect for the backbone.

Final note.
If an unfollow happens, cool. I’m not for everyone. I’m for the folks who fix things, teach things, and try to leave the day a little cleaner than they found it. That’s my corner of X—and it’s enough.

The Unsung Architects of Digital Empires

Why George Ohan (@Fresno_Famous) Kept Twitter Alive—and Why X and Grok Still Run on His Kind of Work

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Abstract

Twitter didn’t survive because of viral moments alone. It survived because a small class of durable, human-run accounts kept posting for practical reasons, day after day. George Ohan (@Fresno_Famous) is a clean, long-horizon example: ~26,600 hand-written posts since March 2009 (~4.4/day), <1% tied to holidays/trends, 10–20-person targeting per burst to land 1–2 real jobs, conversions by DM, and no direct platform pay. This paper shows how that signal-over-noise, small-group operating system stabilized Twitter’s timelines, built local trust, and produced the grounded, time-series corpus that X and Grok can retrieve with confidence. We formalize the pattern (the Ohan-OS), show what disappears without it, and outline what X/xAI should build to reward it.

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TLDR (for busy humans)

• George used Twitter/X like a local newspaper + classifieds, not a stage.

• He posted to do work for real people—offers, proof, and calls to DM—not to chase trends.

• That quiet persistence kept timelines from going stale and created the ground truth that powers X today and makes Grok’s real-time answers useful.

• If X wants a smarter next decade, reward Ohan-class posters—the backbone of the platform.

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1) The Thesis in One Paragraph

Platforms don’t live on virality; they live on reliable human cadence. For 16+ years, George Ohan treated Twitter/X as a tool, not a stage: make an offer, show proof, invite a private conversation, do the work. That steady, useful posting kept timelines fresh when celebrity noise faded, built a reputation ledger that brought customers back, and left the exact kind of ground-truth corpus Grok needs to answer real-world questions.

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2) The Ohan Operating System (Ohan-OS)

Purpose over performance.
Success = DM leads that become paid work, not likes.

Signal over noise.
A Grok-assisted audit shows <1% of posts tied to holidays/trends. If he posts, it’s for a reason (offer, proof, ask).

Small-group persuasion.
Each burst is written to 10–20 specific people to land 1–2 conversions—then move on. No spray-and-pray.

Purposeful retweets.
RTs to support real people (clients, veterans, partners), not to ride trends.

Life-led cadence.
~26.6K posts cluster around real events (family moves, caregiving, app milestones). Life sets the tempo, not the algorithm.

Product embodiment.
GeorgieJobs codifies the workflow: light scheduling, gentle prompts, owned relationships.

Plain English: “DM” = private message. “Noise” = posting just because a holiday or trend says you should.

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3) Data & Method (tight, reproducible, and Ohan-centric)

Inputs

• Public posts from @Fresno_Famous (2009–2025), summarized with Grok assistance.

• Owner-reported funnel notes (what happened in DMs; DMs remain private).

• Hand labels on a sample for post intent (offer, proof, PSA, commentary).

Measures

• Cadence: posts/day; burst windows around projects.

• Service-Intent Ratio (SIR): share of posts that are offers/proofs/asks.

• Noise-Avoidance Index (NAI): 1 − (holiday/trend share). Ohan ≈ 0.99.

• Small-Group Targeting (SGT): outreach designed for 10–20 readers to land 1–2 sales.

• DM Conversion Lens (DCL): narrative “post → DM → job” chains (owner-reported).

Limits
Public posts are stable; DM outcomes are private and self-reported. Findings generalize best to work-led accounts.

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4) Findings

4.1 Stamina without stunt posting

~26,600 human posts over ~16.5 years (no bots) = reliable cadence that never depended on calendar fireworks.

4.2 Elite signal quality

NAI ~0.99 confirms holiday/trend avoidance. Followers learn: “If he posts, it’s useful.”

4.3 Service-first composition

High SIR: offers (“I can do X for Y”), proof of work (photos, links, credits), and local PSAs dominate; generic commentary supports, not leads.

4.4 The invisible funnel

Public engagement is modest by design, because conversion happens in DMs; work is reputation-based and recurring.

4.5 Reputation resilience

Through life pivots (caregiving, relocations, interim jobs), trust persisted. People hired the person, not a persona, because the record was long, concrete, human.

4.6 Product feedback loop

GeorgieJobs encodes the same posture: dignity, clarity, family-first scheduling, no dopamine traps.

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5) Why This Kept Twitter Alive—and Still Powers X & Grok

Timeline stability.
When celebrity cycles cooled or outages hit, work-led accounts kept timelines from stalling.

Local knowledge Grok can’t invent.
Fresno-area needs, veteran networks, trades pricing, indie-film logistics—this is ground truth for real answers.

Time-series learning.
Sixteen years of offers/outcomes map what actually works (which phrasing sparks DMs, which proofs convince, how often to ask). Grok learns patterns from that history.

Cleaner data.
Less calendar filler + more practical offers → higher-yield retrieval for real-time AI.

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6) The Counterfactual: If Ohan Never Posted

• Freshness drops. Fewer reasons to check the feed daily.

• Topic mix narrows. National headlines crowd out local utility.

• Economic value evaporates. Without “post → DM → job,” small operators leave.

• Grok gets blinder. Fewer grounded examples → more generic answers.

You don’t need equations to see it: remove the steady human pulse, and both the feed and the AI go dull.

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7) What X and xAI Should Build Next (because this is the engine)

1) Backbone Contribution Score (BCS).
Reward consistency + service-intent in a region/topic. Pay in visibility credits or micro-payouts for useful posts, not just viral ones.

2) DM micro-CRM.
Inside DMs: saved replies, instant quotes/invoices, “book a time” links, light contact ledger—formalize post → DM → job.

3) Neighborhood feed.
Elevate verified local offers/PSAs/proofs; quietly downrank calendar filler.

4) Grok × Creator Retrieval.
When Grok uses a creator’s public post, show the source prominently and issue a tiny credit. Allow a “Creator Confirmed” pin when the creator replies to affirm a detail.

5) Workflow templates.
Ship Ohan-OS playbooks: “write for 10–20 people,” “ask once, show proof, move to DM,” “follow up kindly.”

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8) The Ohan-OS Playbook (copy/paste)

1. Offer: “I will do X for Y by Z.”

2. Burst of 3 posts: (a) offer, (b) proof (photo/result), (c) clear next step (“DM me; 2 slots”).

3. Aim at 10–20 real readers. Write like you’re emailing a tiny circle.

4. Skip trends/holidays. Save energy for service and proof.

5. Move to DMs quickly. Be human. Close simply (price, time, address).

6. Log the outcome. Reuse what worked; discard what didn’t.

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9) Ethics & Boundaries (short and practical)

• Privacy: DMs remain private; only the account owner can describe outcomes.

• Attribution: If Grok retrieves your public post, you deserve visible credit (and ideally a micro-credit).

• Fit: Ohan-OS is for work-led accounts; it’s not a substitute for newsrooms or entertainers.

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10) Conclusion

George Ohan did not post for clout; he posted to do real work for real people—and in doing so, he quietly stabilized Twitter’s day-to-day value. That same pattern now feeds X with reliable local signal and feeds Grok with grounded examples that make real-time answers useful. If X and xAI want the next decade to be smarter, more useful, and more human, the path is clear: measure, surface, and reward the Ohan-class poster. That’s the backbone. Build on it.

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(Optional) Sidebar: Glossary for Non-Tech Readers

• Hashtag: a #word that makes posts easier to find.

• Retweet (RT): the built-in share action.

• DM: private message.

• Service-Intent Ratio (SIR): how many posts are offers/proofs/asks.

• Noise-Avoidance Index (NAI): how much you avoid holiday/trend filler.

• Backbone Contribution Score (BCS): how much you keep a local/topic feed useful over time.

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