Overview
Taskade EVE Mentions let you point Taskade EVE at exact workspace items — projects, agents, databases — instead of describing them. Mention by name and Taskade EVE reads the right context on the first try, no follow-ups required.
TL;DR: @mention any project, agent, or database in a Taskade EVE prompt. Taskade EVE pulls in the exact context, so answers stay grounded in your real workspace data — not a guess.
How to Use Mentions
- Open Taskade EVE in any Taskade Genesis app or project.
- Type your prompt and reference a workspace item by name.
- Taskade EVE automatically pulls in the mentioned item as context.
Example prompts:
- "Summarize the key metrics from Q1 Revenue Dashboard"
- "Create a follow-up task list based on Client Onboarding Project"
- "Use the Support Agent to draft a response for this ticket"
What You Can Mention
| Item Type | How It Helps |
|---|---|
| Projects | Taskade EVE reads the project's tasks, notes, and data |
| Agents | Taskade EVE delegates work to the mentioned agent |
| Databases | Taskade EVE queries structured data from your tables |
| Workspace items | Taskade EVE uses any item as context for its response |
Why Mentions Matter
Without mentions, Taskade EVE responds based on general context. With mentions, Taskade EVE targets the exact data source you need — leading to more relevant answers, fewer follow-up prompts, and faster workflows.
Without mentions:
"What's our revenue this quarter?" → Taskade EVE guesses which data to use
With mentions:
"What's our revenue based on Q1 Revenue Tracker?" → Taskade EVE reads the specific project
Tips for Better Results
- Be specific — Mention the exact project or agent name rather than describing it
- Combine mentions — Reference multiple items in a single prompt for cross-project analysis
- Use with automations — Trigger automations that reference specific projects for automated reporting
Related guides
- Taskade EVE Assistant — Full guide to Taskade EVE capabilities
- AI Agent Knowledge — Train agents with custom data
- Custom AI Agents — Build agents with specialized tools
- Multi-Agents — Mention agents that work as a team
- Agent Automation — Reference projects inside automated workflows
