Practical AI
An AI workflow follows a designed sequence of steps. An AI agent has more freedom to choose actions or tools as it works toward a goal. The right choice depends on how much uncertainty and autonomy the task actually needs.
Slide 1 of 4: AI Agents vs AI Workflows: What Is the Difference?
Technical notes on databases, SQL, systems, and the decisions behind their day-to-day operation.
4 articles
Practical AI
An AI workflow follows a designed sequence of steps. An AI agent has more freedom to choose actions or tools as it works toward a goal. The right choice depends on how much uncertainty and autonomy the task actually needs.
4 min read
Practical AI
RAG lets an AI application retrieve relevant information from a controlled knowledge source and provide that context to the model before it answers. It is a practical way to ground responses in your own or current information.
4 min read
Practical AI
An API is a controlled way for one piece of software to interact with another. In AI development, your application sends a request to a model service and receives a response it can validate, display or use in the next step.
4 min read
Practical AI
You do not need programming experience to start learning AI. You can first learn how models behave, how to prompt and verify results, and how AI fits into real work. Programming becomes important when you want to build repeatable applications and integrations.
4 min read
