🤖 Why does the Bot respond with incorrect information learned in the conversation?
In some cases, the Bot may repeat a word or data incorrectly. This is not always due to a configuration error, but to how the Bot interprets and uses the information provided during the conversation.
🧠 Contextual learning within a conversation
The Bot can temporarily learn information from what the user writes. For example, if in the course of the dialogue the user mentions a name or city with an incorrect spelling, the Bot could adopt that value and use it in its subsequent responses.
🔁 This learning is specific to the current conversation and does not affect other interactions or is permanently saved.
📝 What type of data can it misinterpret?
📍 Names of cities or places
👤 Proper names
🗣️ Words that resemble existing fields
🆓 Open-ended responses that the Bot interprets as valid
This happens especially when the flow design does not establish fixed values or does not validate user responses, allowing the conversation to adapt contextually.
❌ Can this behavior be corrected?
It is not possible to retroactively modify the way the Bot interpreted a word within a conversation that has already started.
It is also not possible to train it globally to always use a specific version if that information was learned contextually.
✅ Best practices to avoid ambiguities
To reduce errors and ensure that the Bot provides correct and consistent responses:
🧩Define fixed fields or established values in messages (for example, a city or name stored as a variable).
✔️Validate the information entered by the user, with confirmations such as: "Is this information correct?".
🚫Avoid relying exclusively on free text input when it comes to sensitive or important data.
🔍Incorporate the Recognition component to detect if the contact is already identified and avoid overwriting information.