Most people interact with AI through a chat interface, but as a developer, I’ve become much more interested in what happens behind the scenes.
Working with LLM APIs has shown me how flexible modern AI can be. Instead of asking questions manually, applications can send requests directly to a model and use the responses as part of their workflow.
Whether it’s generating content, analyzing user input, or assisting with decision-making, the API effectively turns the language model into another service that the application can consume.
What I’ve enjoyed most is experimenting with how much behavior can be shaped through prompts alone. Small changes in the way a request is structured can completely change the quality of the output.
It’s a fascinating area because it sits at the intersection of software development, user experience, and AI engineering.