Industry · Recruiting

Keep candidates and hiring managers updated without living in your inbox

Recruiters can use AI agents to schedule interviews, keep candidates updated, summarise applications against a brief, and prepare notes before each call. In Brainwrite, specialist bots work in the email, calendar, and tracker you grant them. A recruiter makes every shortlisting decision and approves messages before they reach a candidate or client.

Download for MacSee use cases

Recruiting · example team

You
NovaChief of Staff
  • NovaChief of Staff
  • PennyInbox and CRM specialist
  • AtlasResearch bot
  • DashInbox triager

Brief your Chief of Staff. It picks the specialists and runs the team.

An example team. Start with one bot and add specialists when the work needs them.
A recruiter reviews candidate files while AI agents Atlas, Sage and Dash stand by her desk holding folders.
NovaChief of Staff
7:05 am

Interview scheduling: ready for you. Nothing sent.

  1. 1Application summaries
  2. 2Candidate status updates
  3. 3Call prep
Recruiting team4 bots
Application summariesWaiting for your approval

Where the week goes

The work that eats your time.

Interview scheduling

Matching a candidate's availability with two or three interviewers takes a chain of emails for every round.

Candidates left waiting

Candidates expect updates. When a role stalls, nobody has time to tell twenty people where things stand.

Reading applications

Each role brings dozens of CVs to read against the same brief before the real conversations start.

Client follow-ups

Business development emails to hiring managers go unanswered and nobody follows up.

Start here

The first job to hand off.

Interview scheduling

Give a bot your calendar and email. It proposes times to candidates and interviewers, drafts the invitations, and waits for your approval before anything sends.

Meeting prep

Every weekday at 7:30, look at my Google Calendar for meetings with people outside the company. For each, summarise our last email threads, the HubSpot deal stage, and anything I promised, and post the briefs to a thread called Meeting prep.

Your Chief of Staff put a team on it

  • Nova· Chief of Staff
  • Penny· Inbox and CRM specialist
  • Atlas· Research bot
  • 3 external meetings today; briefs below
  • 11:00 Northwind (Alex Rivera, Ops Lead): deal in Proposal stage; you promised a security questionnaire by Friday
  • 14:00 Lumen Dental: first call; their site lists 4 clinics and a new booking page launched this month
  • 16:30 Harbor & Pine: last thread ended with their question on onboarding time, still unanswered

DoneWhat to raise in the meeting waits for you. Nothing was sent.

An illustrated example. Your team works on your own files and apps.

What the team takes on

Jobs your AI team does every week.

  • Application summaries

    Summarise each application against the role brief, quoting the evidence, so the recruiter can decide faster. The bot does not rank or reject.

  • Candidate status updates

    Draft a short, specific update for each candidate in a stalled process, from your tracker, for you to approve.

  • Call prep

    Before a screening or client call, pull the CV, past emails, and open questions into a one-page brief.

  • Client follow-ups

    Find hiring-manager threads where you owe or are owed a reply and draft a follow-up grounded in the conversation.

  • Tracker hygiene

    Flag candidates with no next step or out-of-date stages in Airtable or Google Sheets and propose fixes.

Why a team

Why this works better than a chatbot.

People decide, bots prepare

In Ask mode, sending an email or changing a record becomes an approval card. Bots summarise and draft; recruiters choose.

Memory you can delete

Bot memory is plain text you can read, edit, and delete, so candidate details are not kept in a hidden profile.

Narrow app access

Give the scheduling bot calendar and email only. Each grant is all tools, an exact list, or none.

Candidate data stays local

Chats, files, and memory stay on your Mac. Text goes only to the AI provider and apps you choose.

In detail

See the jobs step by step.

See it in the app

What it looks like in Brainwrite.

A real screenshot from a demo workspace.

Run details for Juno's Daily briefing · Wednesday, Oct 7: decisions needed, progress by team and risks, with a Did 3 tool calls receipt.

Start faster

Ready-made teams to start from.

Your tools

Apps your team works in.

FAQ

Questions about Brainwrite for recruiting

How can recruiters use AI agents?

Use them for coordination and preparation: scheduling interviews, sending candidate updates, summarising applications against a brief, preparing call notes, and following up with hiring managers. Brainwrite's bots draft the work from your email, calendar, and tracker. Recruiters approve messages and make every shortlisting and hiring decision.

Can a bot screen out candidates?

It should not. A bot can summarise an application against the brief and quote the evidence, but rejection and shortlisting decisions belong to a person. Automated screening can carry bias, and employment law in many places regulates automated hiring decisions. Keep approval on for every message a candidate will receive.

How do I remove a candidate's details?

Bot memory is plain text you can open, edit, and delete per bot. Chats and files are stored on your machine, so you delete them there. Data already sent to your AI provider or connected apps is governed by their retention terms, so check those as part of your data-protection process.

Related

Related industries.

Give your first job to Brainwrite.

Download the app, connect the AI you already pay for, and tell your Chief of Staff what needs doing.

Download for MacSee how it works

macOS today. Windows and Linux are coming soon.