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I’ve been exploring tools that make solo work and small business operations more efficient, and Marblism is one of the more interesting AI platforms I’ve come across.
Instead of acting like a single general-purpose chatbot, Marblism gives you access to specialized AI employees for different parts of your business — including social media, SEO, lead generation, email, website creation, and other recurring tasks.
What I like about the concept is the focus on delegation rather than constantly writing individual prompts. You can use different AI roles depending on what you actually need help with.
If you’re a freelancer, founder, creator, or running a small business and want to experiment with AI automation, it’s worth taking a look:
New users get 10% off for their lifetime through this link.
I’m especially interested in seeing how tools like Marblism evolve as AI moves from simple assistants toward more specialized digital coworkers.
Affiliate disclosure: I may earn a commission if you sign up through my link, at no additional cost to you.
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This is the difference between automation and an AI agent. 🤖
A traditional automation says:
“When X happens → do A → then B → then C.”
It’s predictable, reliable, and perfect for repetitive processes. But what happens when the next step isn’t always the same? That’s where an AI agent comes in.
Instead of following one fixed path, an agent can:
→ Understand the goal
→ Analyze the situation
→ Decide what information it needs
→ Choose the right tool
→ Take an action
→ Check the result
→ Decide what to do next
For example, imagine a lead-generation workflow in n8n.
Traditional automation:
New lead → Scrape website → Find email → Add to CRM → Send email
Every lead follows the same path.
Agentic workflow:
New lead → AI Agent
The agent decides:
🔎 Does this company fit the target profile?
🌐 Should I research the website further?
📊 Is there enough information to qualify the lead?
✉️ Should I generate a personalized message?
⚠️ Is human approval needed before outreach?
The workflow becomes goal-driven instead of purely step-driven.
And this doesn't mean replacing automation.
The most powerful systems combine both:
n8n handles the reliable execution.
AI handles decisions where the path isn't always predictable.
That’s what makes an agentic workflow different from simply adding ChatGPT to an automation.
The future isn't: Automation OR AI
It's: Automation + AI agents + the right tools.
Great visual! "Automation does the work, AI agent decides the work" is probably the clearest way to explain this shift to clients.
Biggest Advantage into Software Engineering with AI is still the fundamentals.
Yep. AI writes the code, but you still need a human to make sure it actually makes sense...
AI HAS STARTED A LAYOFF RACE.
Okay. I’ve been quiet about the AI madness for a while.
Watching.
Listening.
Trying to separate the loudest opinions from what is actually happening.
I’m ready to talk about it.
This is the first post in a series.
No hype.
No “AI will save us.”
No “AI will destroy humanity.”
Just a closer look at the incentives already shaping the market.
A paper by two economists argues that AI can trigger a layoff race.
Here’s the nightmare in plain English:
One company replaces people with AI.
Costs go down.
Investors clap.
Competitors panic.
Nobody wants to be the last business paying a “bloated” payroll while everyone else cuts costs.
So they do it too.
Then the people who lost their jobs have less money to spend.
They buy less.
Demand falls.
Sales drop — not only for the company that fired them, but for everyone.
And what do businesses do when demand drops?
They cut more people.
Every company can say: “We had to. Everyone else was doing it.”
Individually, that decision may be rational.
Collectively, it is a disaster.
Cheaper products sound great — until fewer people can afford to buy them.
That is the trap.
The authors call it a prisoner’s dilemma. Firms capture the savings from automation, while the damage to demand gets spread across the whole market.
Their solution? A tax on automation that replaces workers — not to punish useful AI, but to stop companies from outsourcing the cost of layoffs to everyone else.
Sounds dramatic?
Maybe.
But the next question is more important:
Is this actually what is happening right now?
In the next posts, we’ll look at the market without the AI fever: jobs, money, data, energy — and the parts nobody puts in the pitch deck.
So, freelancers: scared yet?
Sources for this post:
Transparency note:
Written by a human.
Translated from Russian to English with GPT.
GPT’s output, facts, and sources were reviewed by a human.
