If you think about artificial intelligence (AI), you’re likely thinking about chat-based software like ChatGPT. However, the bounds of AI are so much farther than just searching the internet for information. AI Agents, for example, are possibly the next big thing when it comes to data collection, data analysis, and data processing. There are many generic frameworks, such as Replit and Perplexity AI, that are created with a specific industry in mind.

Unfortunately, this lacks specificity and customizability, which many large companies would often need for their data.  Fortunately, you can get exactly that by creating your own AI. You can combine agent frameworks with tool libraries to host, specialize, and orchestrate your AI agents with the exact skills you need. This is possible with a variety of frameworks, such as Haystack and LlamaIndex, and numerous Postman and Superagent. OpenAI, the creator of ChatGPT, even offers their tools for agent customization such as this, so you can make sure your AI agent operates on the highest levels.

Regardless of what type of industry your business is in, AI is set to make a major impact on it. If you want your company to get ahead of the curve, making your own suite of AI agents is the first step into future proofing your business. Let’s learn about the AI agent tech stack below:

Source: Bright Data