I recenetly spent some time to build a dashboard to analyse the emergency services in the Netherlands. It can be used to see insights from real-time emergency report of the P2000 network.

AI agents are one of the most hyped words in the AI space. The word is thrown left and right like candy and it definitely helps you to sound smart with no consensus on a definition. I’m a simple man, so I need a simple definitions. So, after reading a bunch of stuff and building my own agents, I think this definition… …makes me happiest.

Yes, you should be worried about AI taking your job - but not in the way you might think. The real threat isn’t AI itself, but rather your colleagues who can use it effectively. Let me explain. Not so long ago, Sam Altman, the CEO of OpenAI, claimed that we are going to see a one-person company worth a billion dollars. What does he mean by that? And how is such a bold claim possible?

A lot of businesses do their customer support through phone calls. Usually, customers prefer to reach out for the phone to get their issues solved rather than to get into a ping pong email interaction to solve a problem. It is faster, interactive and more human. Customer support calls are direct link to the customer’s thoughts and needs. Businesses receive direct feedback and critisism into the operations and delivery of the service or product.

The OpenAI GPT-4 vision model allows you to understand images and generate text about them. This model is used by ChatGPT when you upload an image and ask a question about it. It is quite powerful and can be used in a variety of applications. The model is also accessible via the OpenAI API. You can upload an image and run a prompt against it to generate a text output.

The first wave of LLM apps were famously looked down upon as “gpt wrappers”. Single prompt templates generating simple text. But if you’re building an AI first application, you need an AI design approach. And that’s the moat. You combine the engineering approaches to create a new generation of software. A software that is more natural and more human. Or can process human generated knowledge. There is a lot of hype around AI and Large Language Models.

My name is Nasir Shadravan. I’m an AI & Automation Engineer and help SMBs integrate AI in their businesses. I have 20 years of software engineering and AI experience, and 10 years of experience building tech products. I heavily focus on understanding the problem of my cliennts and build AI agents and automations I have ~20 years of experience building software. I’ve worked on a wide range of projects, from small startups to large enterprises.

Detailed project description and information goes here…