Who This Is For
You're a founder or solo operator. Your inbox is a second job you didn't sign up for.
This playbook is for you if:
You open your inbox each morning to 20+ unread emails and the first hour of your day disappears answering them
The same categories of email keep showing up — meeting requests, status checks, intro asks — yet you still draft each reply from zero
You work across time zones and emails pile up overnight, waiting to slow down your morning
You're running without an EA and need your responses to scale without your hours scaling with them
By the end of this setup, Claude/Codex will scan your inbox every morning, draft replies in your voice, and park them in your Gmail Drafts folder — ready for you to review, tweak, and send in under 10 minutes.
How the Workflow Runs
Gmail Connect → Voice Analysis → Skill Creation → Scheduled Scan → Draft Review
Time to Set Up
Time to set up: 45–60 minutes, once
Daily time after that: 5–10 minutes to review and send
What You Need
Claude or Codex desktop app (Pro, Max, Team, or Enterprise plan — free plans do not include Cowork or scheduled tasks)
Gmail connector (built into Claude/Codex — connect via Settings → Connectors)
Skill Creator (pre-installed in Claude Cowork or Codex app — no additional install needed)
A Gmail account with at least 30 days of sent emails to train on
Optional: Google Calendar connector (gives your AI model context about upcoming meetings when drafting replies)
Note: This workflow was tested using the Codex app. The steps are identical in Claude Cowork.
Step-by-Step Walkthrough
Step 1: Understand what this workflow should and should not do
What this is:
Scanning your unread inbox and identifying emails that need a reply
Learning your writing style from sent email history and packaging it into a reusable skill
Drafting replies in Gmail — saved to your Drafts folder, not sent
Asking clarifying questions before drafting when it isn't confident about an email
What it's not:
Sending emails — you hit send from Gmail yourself
Attaching files to drafts — the connector has no attachments parameter
Re-opening or editing drafts it already created
Multiple Gmail accounts simultaneously — one account per session
Step 2: Set up the Gmail connector and open Cowork
Open the Claude (or Codex) desktop app. In the top-right corner, go to Settings → Connectors. Find Gmail and click Connect.
A Google OAuth window opens — sign in with the account you want to manage, and approve the requested permissions.
Once connected, switch to Cowork mode inside the app. This is where scheduled tasks and skill management live — the standard chat interface does not surface these controls.
Note: The OAuth setup takes 5–10 minutes and is generally smooth, but some users have reported a permission scope conflict (specifically with gmail.modify) that prevents label-related actions. This won't affect drafting, but if you see a permission error, re-connect the Gmail connector from scratch rather than trying to patch the scope.Step 3: Build your Notion page with the exact table structure
Step 3: Analyze Your Sent Emails to Build a Voice Profile
Before building anything, give Claude (or Codex) enough raw material to actually learn from. Then, send this prompt:
"Go through my Gmail sent folder from the last 30 days. Read at least 25 emails I sent — across different recipients: people I manage, clients, vendors, and anyone I reply to regularly. Pull out patterns in how I write: my sentence length, how I open and close emails, how formal or casual I am with different people, how I handle requests, how I say no, and any phrases I use repeatedly."
The AI scans your sent mail and return a voice analysis. What to give it to make this analysis accurate:
At least 25-30 of your sent emails
Emails to different recipient types (clients, teammates, vendors, cold outreach)
Emails of different lengths and urgency levels — your three-word replies and your long explanations both reveal something
Any thread context, not just your last message, so the AI sees what you were replying to
Note: The AI model does not train on your Gmail data
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