The rise of No-code tools such as Webflow, Bubble, Zapier, make, and Notion enabled a new wave of cash-cow business models based exclusively on those tools.
At Argil one of our goals is to deepen this vision of no-code tools usage. Ai automation is a new way to build business models from scratch, test them, and iterate them in a record time.
We’re living in an exciting time, OpenAi opened a new path for businesses that provide solutions to end-users, and ai-automation is one of the parallel paths everyone can take to build a nearly automated business.
What are AI automations?
Let’s think of a workflow you may be using in your day-to-day work:
With the ease of use of ChatGPT, we saw dozen of use cases people are leveraging in their day-to-day work no matter the industry.
They give specific inputs, ask a question, give more context, and ask more questions. The purpose of this is to build a contextual conversation with the AI to get the best results possible for their initial request.
Now let’s say you’re doing this 10 times a day…
Any process in which a person is repetitively doing the same task is inefficient, and that’s exactly what’s currently happening in the AI ecosystem.
Yes, you’re already increasing your productivity by a factor of 10, but AI automations can make it by 100.
Currently, the only way to make this succession of interactions run in an automatic way is to write a script (code) and use an LLM API such as the one from OpenAI.
Unfortunately, not everyone got the required skills to do this. That’s where Argil comes to play, with our AI automations you can build in No-code a template of the steps used in your original workflow.
By doing this, every time you’ll need to run it, you’ll only have to change the input corresponding to this new request.
How Argil’s AI automations are reshuffling the No-code ecosystem?
In 2023 the No-code/Low-Code market is estimated to become a $16 billion market. That’s crazy, but still, when you think about all the use cases possible it’s peanuts, and the reason for that is pretty straightforward:
The barrier to entry is still high, the learning curve for Bubble or Webflow for instance is a real nightmare.
While the original intention was to empower non-technical people, all those companies have created a middle market, one in which it’s easier to build things but not easy enough to retain a big portion of the non-technical people to use those tools.
The recent rise of AI usage has reshuffled the cards, there’s now less friction in creation processes, and using LLMs gives equality of output quality when used properly.
The best? It’s not even that hard to learn how to interact in the most efficient way but that’s not it, Ai automations is the last missing element.
While AI output quality is universal, building complex workflows that require different steps is not that easy. With Argil, you can build your personalized automated workflows with ai automations.
Let’s illustrate this with an example.
Automate your SEO using Argil AI-automations:
For some, building blogs with high traction is a real business by itself. Not with the intention to rank your website to promote a product or a service, just to gain organic traction and monetize it with ads, or even better resell their website.
However, that process is daunting and takes a while to put in place. OpenAI LLM is amazing for content creation, however, you need the right prompts to get decent results for your SEO blog articles.
Currently, people that leverage this opportunity do it in an inefficient way:
- Save the prompt in a Google doc
- Connect to ChatGpt
- Copy Past the prompt
- Modify the parts needed with the required keywords + context
- Generate the Article
- Generate the Meta description, title, and other components
- Export to a notion folder
- Find images on Pinterest or generate them with mid-journey
- Add to your CMS
This process can literally take 60-90 minutes per article depending on whether or not you modify the output the AI gives you. Well, on Argil you can create a template of your favorite SEO-Articles prompt, and add it on top of the illustration of your article.
You can run this automation after giving your inputs and export the results directly to a folder(with our API you’ll even be able to export directly to your CMS).
This use case is just the tip of the iceberg of Argil’s capabilities, to explore in depth what is possible you can jump on the platform and start building your own workflows.
Here's a short carousel that shows how ai automation can also help you illustrate your existing SEO articles in an automated way: Here.
If you want to be part of this and learn more about Argil, create an account and share your feedback with us! Become a pioneer.