Your AI Employee collects questions it couldn’t answer precisely. You review the answer, edit it, and confirm — and it goes into the Knowledge Base.
A customer asked something that’s in neither the Persona nor the Knowledge Base — your AI Employee replied, but it didn’t have exact data. Self-Learning catches these cases and collects them in a list: you read the answer, edit it, and confirm — and from then on, your AI Employee answers the same question correctly.That’s how it gets smarter: the more question–answer pairs you confirm, the fewer questions are left that it answers by guessing.
Open your AI Employee → Self-Learning tab. While the mode is off, the tab shows a yellow banner — click Enable Self-Learning or flip the toggle on the right.
The first entries appear after your AI Employee handles a few real conversations. Until then, the list is empty.
The number on the tab itself shows how many questions are waiting for your review.
The gray gear to the right of the toggle opens Self-Learning Settings. The defaults work for most cases — come here only if your AI Employee starts answering differently than you need.
What to do when the fact check finds statements in your AI Employee’s reply that the Knowledge Base doesn’t confirm.
Option
What happens
When to choose it
Allow the agent to answer
It replies as is. The reply may be inaccurate — it didn’t have the data it needed. The question still goes to Self-Learning, and you fix it there
When silence is worse than inaccuracy
Don’t answer at all
It stays silent until you confirm the answer in Self-Learning. Once confirmed, your answer goes to the customer and into the Knowledge Base
When a mistake costs more than a pause. Requires a manager to pick up conversations promptly
Answer with a preset phrase
It sends your phrase, adapted to the context of the conversation. Self-Learning receives the question and the reply your AI Employee was going to give
When you need a predictable reply with no risk of made-up facts
Write the preset phrase in the field below, up to 450 characters: “I don’t have confirmed information on this” or “Let me check with a colleague and get back to you.”
How closely a new customer question must match a Self-Learning entry for your AI Employee to answer with it. The slider goes from 10% to 90%; the optimal middle ground is 70%.
Value
What you get
Below 70%
Weak matches also trigger: a question may get the answer to another, only vaguely similar question
Above 70%
Only close matches. If a customer rephrases slightly, the right entry is no longer found
Replies where the fact check found inaccuracies. They’re waiting for your decision, with the Pending status. The number in parentheses shows how many there are
In Knowledge
What you’ve already confirmed. It’s in the Knowledge Base and works for similar questions in the future
Click a row to open the edit window. The Your answer field already contains what your AI Employee said: fix any inaccuracies or confirm it as is.
At the top, you can see why the entry was created automatically and open the conversation context — the full conversation.
Edit the question too — make it general. “Hi, my name is Anna, booking 4417, what time can I check in?” → “What time is check-in?”. Remove names, booking numbers, dates, and other specifics: the cleaner the question, the more accurately your AI Employee recognizes it, and the answer works for everyone who asks something similar. Delete unnecessary, duplicate, and inaccurate questions right away — they throw off answer matching.
The Also send the answer to the customer in the chat checkbox sends your corrected text to the customer in the conversation. This is especially handy with the Don’t answer at all strict mode: the customer is still waiting, and you send the answer right from here. If your AI Employee has already replied, your text arrives as an additional message rather than replacing the earlier one.
The Additional block at the bottom of the window sets how your AI Employee answers with this entry.
Setting
What it does
Answer style
By meaning — rephrases to fit the conversation. Verbatim — sends exactly your text. Verbatim with translation — the same text, but always in the customer’s language
Category
A label for review: pricing, support, sales, or your own. Entries with the same category are easier to find and review together later
Escalate to manager
After replying, pauses the chat and sends a notification. For questions that always need a human
Follow-up question
A phrase your AI Employee asks right after the answer: “Which houses are you interested in?”
The Confirm button saves the entry and sends it to the Knowledge Base.
Your AI Employee collects questions from real conversations, and those contain much more than questions. The list picks up “yes”, “thank you so much”, “no”, an emoji, fragments with personal data — anything it took for a request.
Confirm an answer to “yes”, and next time any customer who writes “yes” gets exactly that answer. Edit or delete such entries — don’t let them through “just in case”.
The quick way: check all the junk with the checkboxes on the left and delete it in one go. You don’t need to go through the list one entry at a time.
When there are many entries, the platform automatically groups similar questions into clusters. “What time is check-in?”, “When can I check in?”, and “From what time do you check guests in?” are the same question for your AI Employee, and it will have one shared answer for them.The practical point is simple: don’t try to create a separate entry for every wording by hand. One well-written answer is enough — all similar questions will be matched to it, including ones you didn’t anticipate.
The AI Employee isn't answering the customer — what should I do?
The Don’t answer at all strict mode is on: your AI Employee stays silent and waits for your decision. Open the New sub-tab, edit the answer, and click Confirm with Also send the answer to the customer in the chat checked — the answer goes straight into the conversation.To keep customers from waiting every time, switch the strict mode to a preset phrase.
The AI Employee pulls in the wrong answer — how do I fix it?
Find the entry on the In Knowledge sub-tab and fix the answer right there.While you’re at it, narrow the question’s wording: a question that’s too general catches unrelated requests. If the entry is useless, delete it — that’s faster than rewriting.
The AI Employee doesn't find the right entry, even though a similar one exists
Lower the search sensitivity in the settings in steps of 5%: at a high value, only close matches get through, and a customer who asks in different words won’t reach the entry.Cleaning up the question in the entry also helps — remove names, dates, and booking numbers.
I confirmed an entry, but the AI Employee answers in its own words
The answer style is set to By meaning — your AI Employee rephrases your text to fit the conversation. If you need it word for word, open the entry, go to the Additional block, and select Verbatim.If a completely different answer came back, a Quick Answer was triggered — Quick Answers have higher priority.
A lot of junk has piled up: “yes”, “thanks”, emojis
Check these entries with the checkboxes on the left and delete them in one go — you don’t need to go through the list one by one. Learn more in Clean up junk.
It's unclear what the question in an entry is about
Open the entry and click View conversation context — you’ll see the full conversation and understand what the customer meant.
There have been no entries for a week — is that normal?
First, check the Self-Learning toggle. If the mode is on, either there aren’t many conversations yet, or your AI Employee is handling things on its own — which is a good sign.
Every question ends up in the list, not just the hard ones
That’s how it currently works: your AI Employee collects requests, not only the ones it couldn’t answer. When reviewing, delete entries whose answer is already in the Knowledge Base — you don’t need them.
Can I add a question manually?
No, Self-Learning is filled only from real conversations. For your own wording, use Quick Answers.
If you need to troubleshoot a specific wrong answer, see Persona, the “FAQ” section.