- STATUS
- VOLUME
- GAP
- HUMAN
Short answer
How can I audit my sourcing project progress using AI?
Your AI pulls specific project metadata and candidate lists to give you a real-time view of your talent pools. You get a clear breakdown of project status and candidate volume without manual exports. This allows you to spot stalled searches or empty pipelines immediately.
Where your data lands.
Audit outcomes
The AI organizes the data it pulls into these specific views.
STATUS
Project health checks
The AI compares current project metadata against your goals. You see exactly which talent pools are active or stalled.
VOLUME
Candidate counts
Your agent pulls lists to show you how many people are in each pool. This identifies where you need more sourcing effort.
GAP
Pipeline bottlenecks
The AI flags projects with low candidate counts or outdated info. You get a list of specific areas that need attention.
HUMAN
Manual intervention
The AI identifies which projects require your direct input. You decide which talent pools to prioritize or close out.
The workflow
What your AI does when the request arrives.
The AI uses specific tools to fetch your sourcing data and summarize it.
Identify active projects
The AI scans your entire sourcing landscape to find the relevant workstreams.
list_talent_projectsInspect project details
The agent looks deeper into a specific project to see its current settings and requirements.
get_project_detailsPull candidate data
The AI retrieves the actual people inside those projects to check for volume.
list_candidatesSummarize progress
The agent combines the project info and candidate counts into a single status report.
list_talent_projectsget_project_details
Try it
Copy these to start.
Use these prompts to kick off your audit.
Starting points
These are starting points. Swap out the project names or candidate counts with your actual data.
Gem Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kCh8BgjUV7TdooQg7kFfQNYYYXN10xLg8fv5T5K0/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Gem capabilities are ready to use.
{
"mcpServers": {
"gem-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kCh8BgjUV7TdooQg7kFfQNYYYXN10xLg8fv5T5K0/mcp"
}
}
}List all my active talent projects and tell me which ones have the fewest candidates.
Get the details for the 'Senior Engineer' project and summarize its current status.
Show me the candidate list for the 'Product Designer' pool so I can check the volume.
Which of my sourcing projects haven't had new candidates added recently?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Gem once, then ask.
One click connects Gem to your AI client. Your credentials stay encrypted, and you can start asking questions immediately.
Connect Gem to your AIFAQ
How this task behaves
- 01
Can the AI change my project settings?
No. The AI can only read project metadata and candidate lists. It cannot modify your projects or change any settings.
- 02
Can the AI delete candidates from my pool?
No. The AI only has permission to list and view data. It cannot delete or remove candidates.
- 03
Does the AI see all my talent data?
The AI only sees the data it accesses through the specific tools you trigger in your prompts.
- 04
Can I use this with Claude?
Yes, as long as you are using an MCP-compatible client like Claude Desktop.
- 05
How does the AI know which project I mean?
You should name the specific project in your prompt. The AI uses that name to find the right data.
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