AI-led product slice

Turn one silent application into people, messages, and next actions.

The copilot classifies the bottleneck, creates a contact-search plan, drafts low-pressure follow-up, and keeps human-led execution reserved for premium cases where the stakes justify it.

Application context

Copilot read

Bottleneck

missing people map

Route

networking sprint

Review state

ai draft

The immediate job is to turn an application into people, messages, and follow-up actions before escalating to expensive human support.

Human-led execution is not available by default. It only becomes a premium escalation after AI-first artifacts exist and the case justifies a 5,000-10,000 dollar scope.

Contact search plan

  1. 1Search Example Labs on LinkedIn and identify people connected to Marketing internship, recruiting, the relevant team, or adjacent functions.
  2. 2Filter for shared context from UNC alumni, student media, marketing club, and local founder network: school, alumni network, geography, student organizations, prior employers, or field affinity.
  3. 3Separate contacts into recruiter/hiring, team member, near-peer, alumni/affinity, and general industry context.
  4. 4Prioritize people who can answer a role-specific question, not just people with senior titles.
  5. 5Send one learning/context message before applying if timing allows.

Application follow-up checklist

  1. 1Confirm whether the application is saved, submitted, or awaiting follow-up.
  2. 2Extract 3 role-specific fit points from the posting and current background.
  3. 3Identify 3-7 possible contacts around the organization.
  4. 4Write one low-pressure question per contact type.
  5. 5Send or queue the first message within 24 hours.
  6. 6Set a follow-up date before sending the first message.
  7. 7Track replies, silence, and next action in the people map.

Next three actions

  1. 1Create the first people-map row for one recruiter, one team member, and one shared-context contact.
  2. 2Customize the LinkedIn or email draft with one specific fit point and one real question.
  3. 3Send or schedule the first message and assign a follow-up date.

LinkedIn draft

Hi [Name], I came across your profile while looking at Marketing internship opportunities at Example Labs. I noticed [shared context] and wanted to ask one quick question about how your team thinks about [role-specific topic]. I am deciding whether this role is a strong fit. Would you be open to a brief note here or a 10-minute conversation?

Email draft

Subject: Marketing internship at Example Labs Hi [Name], I am preparing to apply to the Marketing internship role at Example Labs. My background includes [1-2 specific fit points from resume/background], and I was especially interested in [specific detail from posting or organization]. I know you may not be the right person for recruiting questions, but I would be grateful for any quick perspective on [specific role/team question]. If there is someone better to ask, I would appreciate being pointed in the right direction. Thank you, [Name]

People map columns

Name

Who the student may contact or inspect.

Role / team

Why this person is relevant to the opportunity.

Shared context

School, geography, organization, interest, or prior-path signal.

Contact path

LinkedIn, email guess, warm intro, event, or other channel.

Question to ask

A non-transactional question this person can actually answer.

Message status

Drafted, sent, replied, follow-up due, paused.

Next date

When the next action should happen.