Criteria agreed in an earlier chat: can AI pick them up again?

#Last week's conclusion is buried somewhere in your chat list

Last week you spent a long conversation with the AI working out how to look up receivables by customer. Today you need a similar number, and you can't remember where that conversation went. You scroll up and down the conversation list, open one chat after another still titled "New chat," and finally give up and explain everything from scratch. The more you work with AI, the more conversations pile up, and the harder it gets to pull back the context inside them.

In OwlAI, finding that conversation is the AI's job. Say "Pull it again with the same criteria we used for the receivables lookup last time," and the AI retrieves those criteria from your past conversations and builds today's answer on them.

#Say "the criteria from last time" and the AI goes and gets them

When the AI judges that a question points back to an earlier conversation, it searches the past conversations of the person asking and brings back the relevant part. It checks which tables were used, which conditions were set and what conclusion was reached, then picks up from there to answer today's question. The search finds conversations with a similar meaning even when the words don't match, so you don't have to remember how you phrased it last week.

#The context follows you into a new conversation

Remembering what came earlier in the same conversation is a given. New conversations are the hard part. You often open a new one because the topic changed, and then find you need the earlier context.

So each time an answer finishes, OwlAI stores that question and answer in a searchable form. When a new conversation needs an older one, the AI pulls only the relevant parts from that record. It never rereads whole past conversations, so however many pile up, a new conversation carries only the parts it needs.

When you'd rather look for yourself, use unified search in the sidebar. It searches past chats and meeting transcripts at once, and clicking a result opens that conversation or meeting directly. Conversations you return to often can be pinned to the top of the list.

#The AI searches only the asker's own conversations

The AI searches only the conversations of the person who asked. A teammate's conversations do not show up in the results, and neither do an administrator's.

Data knowledge the whole team needs is shared separately, as table notes (“Only the old hand knew the data rules. Will the AI still know them?”). Personal conversations and the team's shared data knowledge accumulate in different places.

Deleting a conversation also removes it from search. Its contents never resurface later in search results.

#Month-end reports and multi-day analyses pick up where they left off

Someone who runs similar numbers at the end of every month starts with a single line: "the same way as last month." For an analysis that spans several days, say "based on what we concluded yesterday" in a new conversation, and the AI looks up the earlier conclusions and continues from there. To check what was decided in a meeting, unified search finds the transcript and the related chats together.

If the same work has to run at a set time over and over, you can go a step further. Turning a conversation that went well into a recurring task is covered in “Could AI take over the weekly report end to end?”.

If you're evaluating OwlAI, there are two things to confirm with your IT team: that the AI's conversation search is limited to the asker's own conversations, and that deleted conversations drop out of search too.