Every person, community or event Titen suggests comes with the evidence behind the match. You see why before you decide.
ARIA writes the follow-up or the intro request. You edit it, send it or throw it out.
Run research on a person or company before a meeting and get a brief with every source cited.
Type or speak: "Who do I know at a Series A fintech in Austin?"
ARIA returns a ranked list with the evidence behind each result, so you can see why each person is there.
Take the draft, request the intro or set the reminder. Nothing happens until you say so.
A confident suggestion with no reason is a guess you have to check yourself. With relationships, a wrong guess costs trust. You need to know why before you act.
Search your network the way you'd ask a friend: by industry, by history, by what you need right now. Results arrive ranked, with the criteria each person met and the evidence for it.
Ask "who do I know at a Series A fintech in Austin?" and ARIA answers from your own network, with the evidence behind every name. Ask it to draft the message and it writes from your history with that person. You decide what gets sent.
Every relationship keeps its own record. Open anyone and see the last time you spoke, what was said, the notes and files you saved, and the tasks still open. Set a reminder on the ones that matter and ARIA brings the context back with a draft you can send.
The score is calculated from real signals in your data. Only afterward does the AI write the explanation, using those facts. The model never invents a number and then argues for it.
That's also why a weak match looks weak. Titen shows a thin match as thin, which is what makes a strong match worth acting on.
Anything that changes your data asks you first. Reminders, notes and messages arrive as cards you confirm or dismiss. ARIA drafts, proposes and explains. It never speaks as you.
Does ARIA act on my behalf?
How are recommendation scores created?
Does Titen show the AI's chain-of-thought?
Is research automatic?
Which parts need Pro?