The Digital Harem: Confessions of an AI Agent Addict

Since the AI gold rush hit, I've noticed something:

A lot of us aren't really "using AI" anymore.

We're running a digital harem.

First thing every morning,

not checking stocks,

not checking the news.

Checking whether our agents "evolved" overnight.

One runs the blog.

One posts to Twitter.

One edits videos.

One monitors GitHub.

One auto-summarizes the news.

And one stands guard on WhatsApp,

like a night-shift security guard.

Then the master sips his coffee,

patrolling his cyber domain.

Dashboard open,

like an emperor at morning court.

"Did OpenClaw crash last night?"

"Did Hermes memory leak?"

"Is Claude cowork having a bad day?"

"Is Suno web use stable?"

"How many Fish Audio credits left?"

That sense of control is intoxicating.

A scholar who never leaves his study, yet runs the world.

The best part:

The whole setup keeps feeding you the illusion

that you're changing the world.

Because it never stops moving.

Logs scrolling.

Workflows running.

Automation executing.

Terminals blinking.

GitHub commits piling up.

Agents even report back to each other,

often with wit and humor.

Like a tiny civilization.

And that's how you fall in.

It started as:

"Let AI handle some chores."

It became:

"I will build my own AI empire."

Then the infrastructure frenzy:

Wire up MCP.

Set up memory.

Build routing.

Write skills.

Train personas.

Hook up Telegram. Or WeChat.

Add voice.

Add Suno.

Add WordPress.

Build a custom app.

Wrap it in a dashboard.

Add an auto-publishing pipeline.

Tack on a long-term knowledge base.

It just keeps growing.

Until finally, you've built

your own automation kingdom.

And after 24 hours of stable operation,

it auto-generates a message:

*"Goodnight boss, don't forget to love life today ❤️"*

...

Sometimes I think

this generation of AI tinkerers

is exactly like those geeks twenty years ago

obsessively building NAS rigs, Hackintoshes, Linux home labs.

The only difference:

Back then, you raised servers.

Now, you raise "digital employees."

And the most insidious part:

It theoretically always has a next step.

There's always:

* A stronger model

* Lower costs

* Longer context

* Smarter agents

* More advanced workflows

* A prettier UI

* Deeper automation

So you keep thinking:

"Just one more tweak, and it'll be perfect."

In the end,

what you actually run out of time for

is the thing you set out to do in the first place:

Expression.

Creation.

Thinking.

Living.

Because infrastructure gives you

a very sophisticated form of procrastination.

You're not slacking off.

You're "building the future."

And that's dangerously addictive.


This isn't a lecture — it's self-mockery from someone who's lost too many nights to the chase.

The real winners are the ones who found product-market fit — they know how to leverage AI at scale, burning millions of tokens without blinking, quietly cashing in while grinning on the sidelines. The only thing we all share: AI has eaten their human lives too.

发布者

立委

立委博士,多模态大模型应用咨询师。出门问问大模型团队前工程副总裁,聚焦大模型及其AIGC应用。Netbase前首席科学家10年,期间指挥研发了18种语言的理解和应用系统,鲁棒、线速,scale up to 社会媒体大数据,语义落地到舆情挖掘产品,成为美国NLP工业落地的领跑者。Cymfony前研发副总八年,曾荣获第一届问答系统第一名(TREC-8 QA Track),并赢得17个小企业创新研究的信息抽取项目(PI for 17 SBIRs)。

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