Running a website sounds exciting until you realize how much of it is just... repetition.

Find new content. Read it. Prepare it. Publish it. Repeat — for every website, every single day.

I've been building websites for years, and that repetition is the part nobody warns you about. So instead of doing it by hand forever, I built an AI agent to take over a large chunk of the workflow for me.

It runs on a schedule. I don't open it, I don't start it, I don't babysit it. It just works.

What the agent actually does

The idea is simple: give it a source and a target website, and it runs the content pipeline on its own.

It finds new content from a source, reads and processes it, creates a fresh version, and prepares it for publishing — all without me touching it.

Roughly, the flow looks like this:

Source website → find new content → read & process → create content → prepare for website → publish

I want to be clear about the goal here. This isn't about removing people from the loop. It's about killing the repetitive parts so I can spend my actual time and attention on the websites themselves, not the busywork around them.

Seeing it work in the real world

One site running on this agent is SarkariResulta.

I configure the site once — pick the source, set a daily publishing limit, choose the language — and the agent takes it from there. No manual runs, no daily check-ins. It just handles the scheduled work on its own.

One agent, many websites

Here's the part I actually like most: it isn't built for one site. The same agent runs across several, each with its own settings —

• Source website
• Content source
• Language
• Daily publishing limit
• Active or inactive status
• Content processing options

So I'm not rebuilding a new system every time I add a website. I just add it, configure it, and let the existing system take on the work.

It speaks more than one language

The agent isn't locked into English either. One site runs in English, another in Hindi, others in Tamil, Telugu, or Marathi.

That matters, because different sites reach different audiences. The workflow underneath stays exactly the same — only the language output changes, based on how each site is configured.

Automatic really means automatic

The real difference between this and a normal content tool isn't the AI part. It's that I never have to open it.

It runs on a scheduled task, checks what needs doing against each site's daily limit, and just does it — while I'm working on something else entirely.

Automation, but not a free-for-all

I like automation. I don't like losing control of it.

So every website in the system has its own dial: active or not, how much it's allowed to publish, which language it uses, which processing options are switched on. I can pull one site out of the workflow without touching anything else.

Control first, automation second. That order matters.

The math behind it

Right now, 49 websites run through this agent.

Not all of them are built to chase traffic. Some are, but plenty exist for a different reason entirely: if a site doesn't pick up traffic, I sell it — usually somewhere in the ₹30,000–50,000 range.

That changes how I think about the whole setup. Running the agent costs very little compared to what even one of those sales brings in, so the return is close to guaranteed either way. A site earns through traffic, or it earns through a sale. Either outcome works, and the agent is cheap enough that it never gets in the way of that math.

Why I actually built this

I could have kept doing this by hand, site after site. But repeating the same process across multiple websites isn't work — it's waste.

Building the agent turned that repetition into something that runs on its own. It also made it much easier to experiment: new sites, new workflows, without rebuilding everything from scratch each time.

What building it taught me

Useful automation doesn't need to be complicated from where you're sitting. It just needs to be reliable, and it needs to leave you enough control that you trust it.

I've also learned that AI gets genuinely useful the moment it's plugged into a real workflow — not when it's just a chatbot answering questions in a box.

This is one of several agents I've built for my sites, and I'm still tuning it, still finding new pieces of the process worth automating.

The interesting part was never getting an agent to do something once. It's building something that keeps doing useful work, on its own, long after you've stopped watching it.