Building Your Own AI Agent to Send Daily Reports in 5 Minutes Getting daily reports on any topic of interest can be achieved in just five minutes. If you haven't signed up yet, you can read for free here. Sometimes, staying interested in a subject over an extended period can feel demanding and time-consuming. This was especially true for me with investing. While the concept appealed to me, the tedious process of monitoring the market and researching new opportunities day in and day out was overwhelming. Consequently, my interest in investing would spike intensely for a few months, only to wane and disappear for the next year. This inconsistency often led me to miss optimal buy and sell opportunities. Determined to find a more sustainable solution, I set out last weekend to create an AI agent that could keep me updated on market changes and the status of my investments. To my surprise, within just two hours, I had developed a functional script that did exactly what I needed. The initial step was to identify the key data sources I wanted to monitor. For financial reports, I chose popular websites like Yahoo Finance and Bloomberg. These platforms offer comprehensive and timely information on market trends and specific stocks. Next, I needed to parse this data automatically. Tools like Python and libraries such as BeautifulSoup and Scrapy are excellent for web scraping, allowing you to extract relevant information from these sites effortlessly. Once the data was extracted, I used a natural language processing (NLP) library, such as NLTK or spaCy, to analyze and summarize the information. NLP can transform raw data into digestible insights, making it easier to understand and act upon. The summary generation step was crucial for ensuring that the reports were concise and directly useful. To send the reports, I leveraged the power of email automation. Libraries like smtplib in Python make it straightforward to send emails programmatically. By combining the scraped and summarized data with a preformatted email template, I was able to schedule daily updates directly to my inbox using services like Cron. Here’s a brief overview of the steps: Identify Data Sources: Choose reliable financial websites for market updates and specific portfolio information. Web Scraping: Use Python libraries like BeautifulSoup or Scrapy to extract the necessary data automatically. Data Analysis and Summarization: Employ NLP libraries like NLTK or spaCy to refine and condense the extracted information into meaningful summaries. Email Automation: Utilize smtplib in Python to send the daily reports via email, scheduling them with a service like Cron. This process not only saved me time but also kept me informed and engaged in a systematic manner. With consistent updates, I can now make more informed decisions about my investments without the need for constant manual monitoring. The beauty of this AI agent lies in its adaptability. You can tailor the script to gather and summarize information on virtually any topic, from technology trends to health news. Whether you're a busy professional or a curious learner, building your own AI agent in five minutes can revolutionize how you stay informed and manage your interests. By automating the tedious parts of information gathering and synthesis, you can focus on what truly matters: making well-informed decisions and exploring new opportunities. Give it a try, and see how it transforms your daily routine and keeps you in the loop with the latest developments.