Make with Notion 2024: A first look at Notion Mail (Jason Bud Ginsberg, Andrew Milich, Alex Atallah)

Notion Mail reframes email from a chronological inbox into a structured, database-like workspace—so messages can be grouped, filtered, labeled, drafted, scheduled, and even translated using the same property-and-view mindset that powers Notion. The pitch is simple but consequential: email has become an unavoidable “passport to the internet,” yet it still forces people to hunt for the one message that matters and then wrestle with clutter, copy-paste replies, and brittle organization.

The session starts with a look back at how email was expected to work—labels magically sorting everything—then contrasts that with how modern tools have evolved. Chat and knowledge management have moved toward richer, integrated systems, while email remains largely stuck in time-based sorting and plain editing. That mismatch becomes the core problem: email isn’t just messages; it’s receipts, recruiting, scheduling, support threads, and human-to-human coordination all bundled into one service. The result is a daily tax—dragging emails into sidebars, applying labels manually, searching for context, and repeatedly rewriting similar responses.

Notion Mail’s answer is to treat the inbox like a database. In a recruiting example, emails can be grouped by ticket stage or candidate role, filtered by properties, and displayed with a Notion-style editor that supports callouts, quotes, code blocks, and slash commands. A scheduling button can interpret natural language like “meet next Thursday,” check availability via Notion Calendar, and generate a link for the recipient to accept. For repetitive workflows, Snippets provide reusable templates that auto-populate variables such as names and scheduling dates, enabling rapid outreach without retyping.

Automation goes further with Notion AI: it can auto-label emails (including extracting roles and recruiting stages), draft replies in the background, and suggest quick replies or full offer letters. For candidates who go silent, an auto-reply agent can follow up persistently—bumping the thread multiple times until the recipient responds—so users don’t have to manually return to the recruiting view to copy-paste follow-ups.

The demo expands beyond recruiting into customer support and multilingual use. Support requests are grouped by status (not started, in progress, done), and emails can be moved between groups like database records. For international teams, Notion AI can translate inbox content into Japanese (and, by extension, other languages) and expose the translated output as properties inside the inbox view.

A guest, Alex Atallah, adds a reality check from the founder-inbox perspective: he described managing tens of thousands of unread emails and relying on automation to reduce stress. He previously built manual, script-based AI drafting and workflow automations, but found them hard to maintain and difficult to share across a team. Notion Mail’s promise is to make those workflows more collaborative and reusable—through prompts, properties, and shared views—so team knowledge can shape what gets prioritized and how replies get drafted.

The conversation ends with what’s next: sharing views, tighter integration between Notion Mail, Notion, and Notion Calendar for cross-workflows (scheduling and task creation), and expanding toward a full email provider beyond its current Gmail and Google Workspace support. The throughline remains consistent: reduce the daily inbox tax by turning email into something people can query, customize, and automate like the rest of their work.