AI Automation: Argil as a Use-case Builder for Iteration and MVP Creation


  • AI automation's potential to revolutionize workflows and personalize automation.
  • Argil's role as a No-Code tool for leveraging AI automation at scale.
  • Argil's vision of AI automation: Workflow-based approach and personalized solutions.
  • The role of AI automation in streamlining the iteration process.
  • Accelerating MVP creation with Argil's AI automation.
  • The continuous evolution and future potential of AI automation.

After trying to build an Avatar app using in 3 days, we rapidly saw the limits of the current interactions between image-generation models and next-generation models.

Not even mentioning how much human intervention was needed in the process, was a real nightmare. We wondered for a few weeks why this experience was that hard and daunting and came to the following conclusion:

What we needed was a way to automate repetitive tasks and centralize the use of AI models. That’s how we came up with the concept of AI automation.

It can and will completely transform the way we work and personalize automation frameworks.

One of the key components of ai automation is re-shaping as mentioned above, the way you build a use-case, or an MVP (Minimum Viable Product).

The needed time, money, and energy to make it happen was never that low and Argil is providing the product builder with a new tool for that.

The current landscape of AI automation is still in development, people understood the potential of automation and ai respectively but the intersection between both is still at a surface understanding level.

All sectors will be impacted and the potential of disruption will lead to hyper-automation of all processes.

Our Role at Argil is to provide a No-Code tool for non-tech and tech people to leverage AI automation for their use cases and at scale.

MVP creation and iteration will take days instead of months with Argil Ai automation.

Understanding AI Automation

AI automation is a powerful concept and will become the backbone of the creation and tech revolution of the 21st-century tech revolution. Simply put, AI automation is the combination of AI, automation, and no-code.

The goal is not just to make machines smarter and tasks more efficient but to scale creation and make it render it independent.

AI automation can be personalized based on the inputs given by any individual, this can be:

  • Documents
  • Pictures
  • Text
  • Tables

AI will learn from the data and understand patterns, it will be able to perform tasks that otherwise require human intelligence.

From creating personalized blog posts to full marketing campaigns the multimodal approach of ai automation will reshape the way MVPs are built.

The blend of AI and automation has sprung from the intersection of different markets. Every industry whether healthcare, retail, logistics, finance, or creative agencies is leveraging AI automation to drive innovation and productivity.

More than that, every internal process that required multiple interactions can be represented by ai automation.

Here’s an example, let’s say you needed 4 people to build marketing campaigns based on the brief of one of your clients, now you can use one chat with different sets (each of your members) and based on the brief of your client build a full first draft in less than an hour.

Here’s another example, you want to create an e-commerce website that personalize tee shirts with a description based on the buyer. You can use ai automation for that and scale your business.

The impact is transformative, tasks get accomplished faster, workflows are optimized, and the need for human intervention is considerably reduced.

Argil’s Vision of AI Automation

Among the companies making significant strides in AI automation, at Argil we were one of the first to approach it in a workflow vision.

Argil provides a platform where businesses can use AI to train, experiment, and scale their ai automation.

Here’s what you can do on Argil:

1/ Upload pictures of yourself to train the AI

2/ Choose a model in the image studio based on the goal of the creation

3/ Experiment by generating different pictures with different settings

4/ Scale this process by integrating it into an application with our API

We have adopted a 'use-case builder' approach at Argil, rather than providing a one-size-fits-all solution you can build your own use case based on how we facilitate the process.

We truly believe that ai automation is all about personalization.

Every business can use Argil for a specific pain they face internally, they can create automation that meets their needs and even integrate it to their internal application with our API.

Our AI automation is not exclusive to image generation, we continuously add new features and our User experience will soon change for the better.

Argil as a Use-case Builder: The Power of AI Automation

What really sets us apart from other players in the AI automation market is our ‘use-case builder’ approach, we understand that each business got unique needs and challenges and we aim at solving them with you.

The true power of AI automation resides in the simplicity of the personalization process. You can have different workflows on argil each being an expert ‘MVP’ for the specific use case.

Our tools are not exclusively reserved for tech or nontech people, both can use them and find pleasure. Our positioning is not just about creating AI models; it's about building AI solutions that can effectively solve the problem faced.

You can automate text-to-text and image-to-image tasks and then use our API or SDK to integrate the ai automation into your application. More than that, you can build a full use case in argil and create a landing page to distribute the specific use case to the targeted audience.

The Role of AI Automation in Iteration

One of the most significant benefits of AI automation is its role in the iteration process. With traditional methods, developing a new product or feature, testing it, collecting feedback, and refining it is a long, painstaking process.

Using Argil ai automation features makes this process more manageable but above all centralized.

Let’s say you want to generate a mock-up of an ads campaign and your client is super picky. You got two choices:

1/ Don’t sign the client

2/ Sign the client and respect the needs and profile

Most agencies will take the 2 option especially if there’s a few thousand bucks to make. However doing so means more exchanges, thus more energy to allocate to that client.

Using AI automation can streamline mock-up creation and iteration based on the email exchange you made with your client.

In one afternoon you can find common ground and agree on what should be done. The power of ai automation in the iteration process out of natural language inputs is phenomenal.

MVP Creation with Argil's AI Automation

Argil's AI automation is also instrumental in Minimum Viable Product (MVP) creation. An MVP is a product with just enough features to satisfy early customers and provide feedback for future product development.

MVPs are crucial for businesses, as they allow for quick market testing without the need for extensive resources. Still, the definition of quick is rapidly changing, as said earlier Argil’s ai automation can make the creation of MVPs go from months to days.

Argil’s platform simplifies and accelerates this MVP creation process.

You can try by yourself the extent of the features currently proposed in the platform, but if we fail to provide what you need, send us an email and we’ll give you the latest updates regarding what’s coming in the workflow creation space.

Where are we heading with this Crazy Revolution of AI Automation?

AI automation is rapidly evolving, AI in general is rapidly evolving and the landscape will continuously reinvent itself. The potential to transform the business landscape is crazy and Argil will be part of it.

The current user experience you can have on the platform while building your first Ai automation is just the tip of the iceberg. The robustness of AI and its anti-fragile capabilities will provide us with new use cases every few months.

One of the areas where AI automation is expected to make significant strides in the future is conversational AI. Conversational AI from an AI automation standpoint corresponds to the ability to create multimodal outputs (Text, Images, Video, etc) out of single natural language inputs.

This vision might not happen overnight, but it’s the most global one regarding ai automation one can envision. What you can be sure about is that we will integrate and distribute these as fast as they rise.

In the meantime, jump on Argil and try it here.

Othmane Khadri