An invitation, direct message or InMail drafted in your voice, referencing something real from that person’s path, and sent from your account, after you approve it.
A template with the name swapped gets the response rate of a template with the name swapped. And the person receiving it can tell from the first line: a good recruiter loses credibility over a bad automated message.
The message is born from the analysis of that candidate: it cites what they actually did, in the voice you configured for the role, within the character limit of the right channel.
The default mode is approval: nothing goes out without you seeing it. You edit whatever you want, or have it generate again. Anyone who gains confidence in the voice can switch on automatic mode later.
The channel is inferred from the situation: an invitation with a note if you are not connected, a direct message if you are, InMail when it makes sense, and you can change it.
EVO reads the inbox and brings replies into the process, with the history of the conversation. Chained follow-ups can be generated from what the person answered.
When LinkedIn refuses a send, a weekly limit reached for instance, that shows up as an explicit failure with the reason, not as silence.
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Sending a message in someone’s name is the product’s highest-trust operation. These are the guarantees.
A score across four dimensions with text for each one, a read of the career, strengths, concerns and gaps, plus the odds of acceptance.
See inside →InterviewsVisual journeyStages on a canvas with parallel groups and transitions by outcome. External interviewers score through a portal of their own.
See inside →Local agentRuns in your ChromeAn app on your machine uses the session you already signed into. No password, no cloud, with a cap that you set.
See inside →It takes a real role to see EVO work, not a canned example.
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