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Gong
Gong.io Inc.
Gong is a revenue intelligence and Revenue AI platform designed to help businesses understand customer interactions, improve sales performance, and manage revenue…
API Subscription
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Notion AI Agents are AI teammates built into Notion that can complete multi-step work using context from Notion workspaces and connected applications. Notion offers both on-demand Notion Agents and Custom Agents that can run recurring workflows automatically on schedules or triggers. Agents can create and edit pages and databases, answer questions, route tasks, generate status updates, and coordinate work across connected tools.
Key Features
- AI agents for knowledge work
- Personal Notion Agent
- Custom Agents
- Multi-step task execution
- Recurring workflow automation
- Scheduled agent runs
- Trigger-based workflows
- Q&A agents
- Task routing agents
- Status update agents
- Page creation and editing
- Database creation and editing
- Workspace knowledge search
- Connected-app search
- Slack integration
- Mail integration
- Calendar integration
- MCP integrations
- Custom MCP servers
- Agent skills and instructions
- Custom agent permissions
- Page-level access controls
- Human approval for certain actions
- Run history and audit trails
- Reversible changes
- Credit usage monitoring
- Multiple AI model options
- Claude, GPT, Gemini, and Grok model support
- Enterprise security controls
Pros & Cons
Pros
- Works directly inside the Notion workspace
- Can complete multi-step tasks rather than only generating text
- Uses existing workspace knowledge as context
- Connects to external business tools
- Supports automated recurring workflows
- Provides customizable agent permissions
- Agent runs are logged
- Changes can be reversed
- Supports multiple AI model providers
- Offers both personal and team-wide agents
- Supports custom MCP connections
- Strong enterprise administration and security controls
Cons
- Custom Agents require Business or Enterprise plans
- Custom Agents use additional Notion credits
- Credit consumption increases with more complex workflows
- Advanced features can require enterprise administration
- Some integrations and capabilities are still rolling out or in beta
- Performance depends partly on the selected AI model
- Complex multi-step workflows can consume more credits
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