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Automation Freemium

Notion AI

AI assistant built into Notion — write, summarize, search, and build custom agents.

Our take

The default AI layer for anyone already in Notion — Custom Agents turn your wiki into an automated workspace.

What it is

Notion AI is the assistant built into the Notion workspace. Beyond writing and summarizing, its 2026 standout is Custom Agents — user-built agents that search across all apps connected to Notion, automate busywork, and operate on your notes and docs. It is the most natural AI pick for teams whose knowledge already lives in Notion.

Best for

  • Summarize meetings, docs, and pages
  • Build custom agents on top of your workspace
  • Cross-app search and Q&A over your knowledge base

Pros

  • Deeply integrated into Notion workspace
  • Custom Agents work across connected apps
  • Zero setup for existing Notion users

Cons

  • Only valuable if you use Notion as your hub
  • AI add-on is a separate cost

Quick start

  1. Notion AI is included in all Notion plans for free during preview (limits apply). Notion AI add-on $10/user/mo unlocks full usage.
  2. Click "AI" button on any text block → choose "Ask AI to write / summarize / translate / action items."
  3. For documents: highlight text → ask AI to extract action items, generate TL;DR, simplify, or change tone.
  4. Custom Agents (GA 2026): click "Agents" in the sidebar → pick or build → assign to a page → the agent reads Notion + connected apps (Slack, Google Drive, etc.).
  5. Q&A: type "/" → "AI" → "Ask Notion" → ask in natural language; Notion searches all accessible pages.
  6. Database AI: select a database → click "AI" → auto-fill properties (status summaries, tags, next-action suggestions).

Sample input / output

Input
Notion workspace context:
  - "Q2 Planning" database (32 rows of project briefs)
  - Connected apps: Slack (3 channels), Google Drive (Q2 OKRs doc), GitHub (acme/website repo)

Custom Agent: "PM Q&A"
  Trigger: any new comment "@PM-QA" on a project row
  Action: pull the row brief, search Slack for mentions, summarize relevant Q2 OKRs, respond in Notion
  Tone: concise, technical

Question (typed in Notion AI search):
  "What are the three biggest risks to the Mobile launch right now?"
Output
"PM Q&A" agent response (auto-posted in comment):
"Three biggest risks, ranked by mention frequency in Slack #mobile-launch and OKR doc (May 15–Jun 15):
  1. TestFlight review delays (12 Slack mentions) — OKR §4.2 reference
  2. App Tracking Transparency consent friction (9 mentions; 2 design review threads attached)
  3. Push-notification budget overrun (6 mentions, OKR §5.1 target)."

Q&A search response (~3 sec, 4 sources linked):
  Aggregated answer from 4 pages (1 OKR doc, 2 project briefs, 1 Slack thread) with inline citations.

Benchmarks

Plans Included (preview) / $10/user/mo add-on — Notion pricing 2026
Knowledge base scale Custom Agent searches across all pages you have access to — Notion product
Connected apps Slack, Google Drive, GitHub, Jira, Asana, Linear, +more — Notion integrations
AI queries/day (free) 5 per workspace member — Notion help center
Custom Agents GA since March 2026; no-code builder — Notion product
Notion users ~5M paying seats, 100M+ users (gating) — Notion company blog 2025

Pricing

Included with Notion plans; AI add-on ~$10/mo

Underlying models

OpenAIAnthropic (multi-provider)

Should you pick this?

Pick it if You're a team whose knowledge base already lives in Notion — wikis, project trackers, meeting notes — and you want an AI that can search it all and run automations across connected apps.
Skip it if You need enterprise document governance outside Notion (Microsoft 365 Copilot lives in Teams/SharePoint). For pure creative writing/grammar, Grammarly is more direct.

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