Real AI Use Cases tool

Notion use cases

Browse real people using Notion inside practical AI use cases. Each use case includes tools used, source links, public workflow previews, outcomes, and related examples.

4 use cases

Real use cases using Notion

JJ Englert, Tenex headshot
Personal Productivity

JJ Englert, Tenex

Community Enablement Lead at Tenex

Built a Daily Operating System in Claude Cowork that gives AI persistent context about his work, writing style, team, calendar, messages, and priorities so it can draft emails, review work, and prepare morning debriefs.

Outcome: Turns Claude Cowork from a simple chat tool into a connected daily work hub: it remembers working preferences, creates reusable skills, reviews work from multiple perspectives, and prepares a daily plan from email, Slack, and calendar context.

ClaudeGmailSlackNotion+1
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Yash Tekriwal, Clay headshot
Personal Productivity

Yash Tekriwal, Clay

Head of Education at Clay

Built a custom AI-powered Slack dashboard that turns 150+ daily notifications into a focused Kanban-style inbox organized by urgency: Action Required, Need to Read, and FYI.

Outcome: Reduces Slack overwhelm by separating real work from noise. Instead of manually scanning a wall of notifications, Yash can focus on the 30–40 messages that actually need attention and archive low-priority updates in bulk.

OpenClawPerplexitySlackGmail+2
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Elizabeth Lin headshot
Prototyping & Design

Elizabeth Lin

Independent design educator at Design is a Party

Uses Cursor as a creative partner for design exploration: generating visual styles, building interactive prototypes like a working piano with sound, and refining rough AI-generated interfaces into more polished designs.

Outcome: Gives designers a faster way to explore aesthetics, prototype real interactions, and practice giving better feedback to AI. Instead of stopping at static mockups, Elizabeth uses code-based tools to create things people can click, hear, test, and iterate on.

CursorNotionHTMLCSS+1
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Ryan Nystrom, Notion headshot
Coding & EngineeringBusiness Operations

Ryan Nystrom, Notion

Engineering leader at Notion

Uses Notion AI, Codex, GitHub, Slack, Honeycomb, and Whisper to make engineering work more structured: preparing standups, turning specs/comments into PRs, and giving engineers better context before they start building.

Outcome: Shows how AI can improve engineering velocity without skipping the parts that make software teams work well: shared context, written specs, reviewable changes, observability, and human judgment.

Notion AICodexGitHubSlack+2
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