In some cases, you may notice that the bot repeats a word or data incorrectly. This is not always due to a configuration error, but rather to the way Artificial Intelligence interprets and uses the information provided by the user during the conversation.
🧠 Contextual learning in conversation
The bot can temporarily learn information from what the client writes. For example, if during the dialogue the user mentions a name or city with incorrect spelling (with spelling errors or abbreviations), the bot could adopt that same value by context and use it in its subsequent responses.
🔁 Note: This learning is specific and exclusive to the ongoing conversation. It does not affect other interactions with other clients and is not saved permanently in the system.
📝 What types of data can be misinterpreted?
📍 Names of cities or places.
👤 Proper names.
🗣️ Words that resemble existing fields or variables.
🆓 Open responses that the bot interprets as valid.
Why does this happen? It occurs especially when the flow design does not establish fixed values or does not validate user responses, allowing the AI to adapt the conversation too freely and contextually.
❌ Can this behavior be corrected?
Not retroactively: It is not possible to modify how the bot already interpreted a word within an ongoing conversation.
Not globally: It is also not possible to "train" the AI globally to always use a specific version of a word if that information was learned from the direct context of the user.
✅ Best practices to avoid ambiguities
To reduce this margin of error and ensure that the bot provides correct and coherent responses, we recommend applying these settings in Flowbuilder:
🧩 Define fixed fields: Use values established in messages (for example, save a specific city or name as a strict variable instead of leaving it open).
✔️ Validate information: Add confirmation steps about the information entered by the user with questions like: "Is this data correct?".
🚫 Limit free text: Avoid relying exclusively on open responses (free text input) when collecting sensitive or important data. Use closed options or menus when possible.
🔍 Use the Recognition component: Incorporate it at the beginning of your flows to detect if the contact is already identified in your database and prevent the AI from overwriting their correct information with a typing error.
Take control of your bot's responses! 🚀
By applying these adjustments, you prevent the AI from getting confused with the client's messages. Guarantee precise interactions and keep the quality of your automated support always at its highest. ✅