After exploring the agentic approach through DeepLearning.ai courses, Damian Dąbrowski is now creating his first agentic application. This journey has sparked numerous ideas on how to integrate AI agents into everyday tasks. His daily routine includes physical fitness, ensuring quality sleep, and progressing through AI-related courses. The application aims to enhance a simple AI chat with features like prompt templates and sub-agents, allowing for more efficient interaction. Currently, it’s functional with Azure OpenAI GPT-4o, and while he’s faced some challenges using the Bolt.New platform, Damian is determined to release the app next week, aiming to simplify AI interactions in daily routines.
The Rise of Agentic Applications: A Journey into AI Development
In recent months, AI technology has rapidly advanced, creating exciting opportunities for developers. Among the latest trends is the exploration of agentic applications. I started my journey by diving into the courses offered by DeepLearning.ai. This experience not only transformed my skills but also ignited a fascination for developing AI agents in various fields.
Daily Routine: Balancing Learning and Fitness
To support my learning journey, I established a daily routine that includes:
1. Physical Activity: I’m committed to my fitness and have progressed from doing zero pushups to 25 daily.
2. Adequate Sleep: Although I’ve struggled with going to bed early, I’m working on improving my sleep schedule to ensure at least seven hours of rest.
3. AI Agents: Ongoing studies with DeepLearning.ai have led me to begin developing my first agentic application.
4. Upcoming Courses: I’m also excited about pursuing another course focused on AI Assistants using Next.js and the Vercel AI SDK.
As they say, consistency is key. To learn more about my daily tasks, check out my introduction to the 100 Days Agentic Engineer Challenge.
Innovative Ideas and Project Development
My primary goal in creating an AI chat application was to implement streaming features and a prompt template for efficiency. I envision creating different types of agents, where the main agent can oversee sub-agents, allowing for greater flexibility in how tasks are executed. Some agents could operate in sequence, while others can run in parallel, collaborating effectively under oversight.
Currently, I’m utilizing the Azure OpenAI GPT-4o with basic agent functionality. This not only relieves me from repetitive tasks but also enhances the efficiency of my development process. I initially started this project on the Bolt.New platform, which proved to be user-friendly for design but complicated when advanced data structures were needed. I plan to shift to a more robust solution for better performance.
Looking Ahead
I’m excited to announce that the release of this app is planned for next week, and I can’t wait to share my experience with other developers. The journey into creating agentic applications has been challenging yet rewarding. Stay tuned for more updates on my adventure in AI!
Tags: AI Development, Agentic Applications, DeepLearning.ai, Azure OpenAI, 100 Days Challenge.
What is Day 14 of the 100 Days Agentic Engineer Challenge?
Day 14 focuses on creating Simple AI Agents using a terminal. This day encourages participants to build functional AI models while using simple commands and language in the terminal, helping them understand how AI can operate effectively.
What do I need to participate?
To join Day 14, you need a computer with a terminal installed and basic knowledge of using command line tools. Familiarity with programming concepts will help, but you can learn as you go.
What skills will I gain from Day 14?
On Day 14, you will learn how to develop simple AI agents, understand their functions, and become more comfortable using the terminal. These skills will be valuable for further programming tasks and projects.
Can beginners join this challenge?
Yes, beginners are welcome! Day 14 is designed to help you learn step by step. You can follow along and pick up new skills as you create your first AI agents.
How can I get help if I encounter problems?
If you run into issues, check the community forums or discussion groups related to the challenge. Many participants share tips and support each other, making it easier to resolve problems together.