Plug‑and‑Play Power: Browser-Based Rapid Automations

Sep 21 (edited) • Plug-and-Play

This section promises simple, high-impact workbenches and prompt chains. Experience 10x faster deployment with any agentic builder, designed for non-technical.

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For years, there existed a real gap between citizen developers getting started with no code development and then those actually making money with it, learning from the market, and instilling real feedback loops.

As an automation specialist myself, I draw great pleasure from revenue-driving automations and have found a real pocket with my background in sales management and business development.

However, in recent years, under the ocean of technical jargon, there existed a quiet community around browser-based automations.

There's an ocean of companies capitalizing from Browser-Use and their $17 million worth of funding over the years, Browse.ai , Induced.ai , nanobrowser.ai , automa.site , Lindy.ai , Airtop.ai and even Apify.com getting in on the action. Truthfully, the list goes on and on, and it's faced the same wall that GPT wrappers faced when they first entered the market; it's usually the same product under the hood.

Don't get me wrong, the service offering is often unique, which is why it's making money. It is useful, but there's so much more that's possible.

Instead of traditional RPA, with scripts chained together almost like an assembly line, companies have long reflected on how this relationship between input and output exists in their customer journey.

Then, smartly so, augmenting it with AI in the way they understood best.

Giving a LLM keys to a browser works when you package it and slap a bunch of marketing together.

ChatGPT Agent Mode (formerly known as Operator) has allowed for users to experiment with this effect, and if you've used it enough, you're familiar with its shortcomings.

Memory loss, spinning out, drinking through limited requests.

This has been a usage issue that a fair amount of companies capitalize on and actually derive most of their profits from, which is great for bigger companies that have the budget to withstand that, but far less accessible.

Now, with a profound capability of creating machine learning layers in ways that operating systems can digest, there's been breakthroughs that hasn't gotten the light it deserves.

The classroom program was designed with this gap in mind.

There's a number of solutions that exist for this. I'm actually actively working on a proprietary tool with a vendor that handles this the best by never losing memory, runs 24/7 on autopilot.

However, the nature of this space requires deeper research and more hands actually using it.

Accessibility.

Fellou.ai is remarkable in its capability being one of the most accessible versions of this additional layer that exist on the market today (September 2025).

I'm not an affiliate with them, so I don't see any direct profits from you using their service. In fact, I'd love to become one and work closer on bridging since most of their marketing is around deep research and profile work.

I believe we can think bigger, and that's what the program's for.

If you want something out of the box and fully ready for 24/7 production, there's two routes to go down.

Brainbase Labs has Kafka, which has a similar effect of a digital employee, but much like their agentic competitors, consumers are using old language to describe new capabilities.

What if I told you that AI can work with you, for you, by you, 24/7 on autopilot?

You'd think the risk of displacement would be too high for this to exist, and the truth is, it's been there for years.

Agentforce, the concept of a Digital Workforce, has long been ideated on in the evolution journey for LLMs.

I'm not going to spend any time fear mongering you into getting involved, noting that no code development is merely one way to make money with AI.

You can also deploy, radically fast and accessible, digital workers by understanding what business processes are worthy of augmenting with artificial intelligence in the first place, and how to do exactly that, for free.

Support tiers and detailed paths exist in the classroom.

The rising tide raises all boats, and as citizen developers, it's in the enterprise's best interest to keep everybody in the dark for how these things actually work so that they can capitalize on your ignorance.

Empowerment is not complex, it's an educators job to package this so stupidly simple that anyone can pick it up start to finish without struggle.

That's what this is all about.

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