AI Bot vs Chatbot: How to Choose
A regular bot is a program, often written in Python. An AI bot is a bot connected to a language model such as GPT, Claude, Gemini or Kimi. A regular bot performs functions defined in its code. An AI bot can handle different requests, act independently, retain memory and use connected tools I use both. When I need a strict sequence and a process that follows a plan, I use regular bots - programs…
When determining whether to use an AI bot or a regular bot, first consider the nature of the task. A regular bot is a program that follows a predetermined sequence of steps, often written in Python. These bots perform functions as defined in their code and can handle tasks such as retrieving data from a spreadsheet, calculating totals, and sending results to Telegram on a schedule.
On the other hand, an AI bot is connected to a language model, such as GPT, Claude, Gemini, or Kimi. These bots can interpret different requests, act independently, retain memory, and utilize connected tools. When faced with worded requests that vary, an AI bot can be more effective in handling the task. For instance, it can gather information on a question, prepare a summary with relevant links, and ask for missing details if necessary.
The decision between a regular bot and an AI bot depends on the specific requirements of the task. If the sequence of steps is known in advance and no flexibility is required, a regular bot is sufficient. However, when the task involves interpreting diverse requests, AI bots can provide more adaptability and efficiency.
To implement an AI bot, a language model must be connected to the bot, and permissions granted for accessing external services or performing actions. While the bot itself does not book meetings or open files, it relies on connected tools and permissions to execute tasks. Memory and scheduled work depend on the system's design, requiring data storage between runs and a scheduler.
In some cases, a combination of both approaches can be beneficial. A program can enforce the order of operations while the AI handles the content. For example, a program can receive a message, send it to a model for response preparation, verify the completion of required steps, and then send it for approval.
When building an AI solution, start by analyzing the task. Identify which steps are always the same and where the bot needs to interpret different requests. Determine the data and actions the bot can access, and decide what aspects must be handled by a person. Keep in mind that a model's incorrect answer may sound convincing, so crucial data and the consequences of actions require thorough checking.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
