Week 04. No-Code will help accelerate and democratize AI adoption.

One year ago, I stumbled upon an article in 纽约时报 that would change my perspective on the future of AI. At that time, I couldn't have imagined that just 12 months later, the world would be buzzing with the breakthroughs of Generative AI and LLMs (Large Language Models). These advanced AI models have exceeded our expectations and have opened doors to new possibilities. With their capabilities, we are now able to create more realistic and interactive virtual environments, design better products and services, and even develop more efficient medical treatments. As we continue to make strides in AI technology, it's exciting to think about what the future holds and how these advancements will continue to shape our world.

When I think about No-Code, I can't associate it with the ever-evolving AI landscape and the new tools that make it possible for people to create amazing things without worrying about complex concepts related to machine and deep learning algorithms, model optimization, and other concerns related to Data Science. Seeing how far we've come in just a few years is amazing. I remember working as a PM on AI projects for big companies just a few years ago, and how hard it was to bring a simple solution to life for data classification or fraud prevention. It required deep knowledge of specific programming languages, such as Python and R, as well as libraries like SciKit-Learn and TensorFlow. Now, with tools like ChatGPT, people have access to powerful AI capabilities without worrying about understanding deep technical knowledge to build sophisticated AI models.

No-Code + AI

AI No-Code tools have the potential to make AI more accessible and allow more people to benefit from its advantages. Until recently, only large companies with million-dollar budgets could hire expensive teams of data scientists, data engineers, and AI experts who spent years working on complex machine-learning projects. This trend of exclusion made it difficult for smaller companies and individuals to access the same resources and knowledge. However, with the development of more accessible AI tools and platforms, the playing field is balancing. This progress is not only exciting but also crucial for enabling innovation and progress in various fields. It is opening up new opportunities for research, development, and application of AI technology, which can improve society in countless ways.

We must examine how AI will alter our relationship with software in the long term. As we progress towards a more automated world, it is increasingly important to democratize software capabilities. One of the most significant benefits of AI is its ability to enable people with little to no coding experience to create complex workflows, automation, and creative solutions for relevant problems. This has the potential to revolutionize how we work, as it allows many people to contribute to the development of software tools that were formerly restricted to a select few. It’s essential to continue supporting and investing in these advancements to ensure that everyone has access to the benefits of AI.

With the rise of AI, we are truly entering an era of digital transformation that is changing the way we work and live, but it's important to remain cautiously optimistic. While the potential benefits of AI are vast, we must also be aware of the risks and potential downsides. It's still early days for AI, and as such, we should approach it with a healthy dose of skepticism.

My first sale ??.

Last week, I earned my first dollar online by launching and selling my own Notion template on Gumroad. It was a great achievement for me, and I was thrilled to see that the community responded well to it. I even received positive feedback on how it helped people with their experimentation process. As I continue to create my systems to get work done, I am looking forward to sharing them with the world!

My Content Factory is on fire ??.

Writing has been a challenge for me. I struggle with a wandering mind and procrastination but practicing has made it easier. One strategy is setting aside time each day to write, even if it's just a few minutes. Another approach is breaking down the writing process into smaller tasks, like brainstorming, outlining, and drafting. These steps have helped me improve my writing skills and feel more confident expressing my thoughts and ideas. Soon, I will share the template that I'm using to organize my writing process.

Start your experimentation process with AI.

To fully benefit from artificial intelligence tools, it's important to adopt an experimentation mindset. This means running small iterations and learning from the process.

It’s also important to empower your team to take ownership of AI projects and to encourage them to explore new possibilities. This could involve providing training and resources to help them develop their skills and knowledge in this area. Creating a culture of innovation can foster an environment that supports experimentation and idea-sharing, resulting in more effective and impactful use of AI tools.

Take a look at my Notion Experimentation Template, combined with OKR (Objectives and Key Results) methodology.