- STATUS
- DETAILS
- RESULTS
- HUMAN
Short answer
How can I track my NLP processing jobs?
You can ask your AI to list all active pipelines or pull specific details for a single job. It can also fetch batch prediction results to show you exactly what the model produced. You'll get a clear view of your processing status and configuration settings.
Pipeline visibility.
Where your data lands.
Your AI handles the data retrieval so you can focus on the insights.
STATUS
Track active jobs
The AI pulls a list of all current pipelines. You'll see what's running and what's finished.
DETAILS
Inspect configurations
Get the specific settings for any pipeline. This shows you the parameters used for your text processing.
RESULTS
Review batch outputs
The AI fetches the results from batch prediction jobs. You can verify the topic modeling or analysis results immediately.
HUMAN
Manual intervention
The AI only reads and reports status. You still need to manually adjust pipeline logic or restart failed jobs in the main dashboard.
The workflow
What your AI does when you ask for updates.
The AI acts as a bridge between your chat interface and the Deep Talk processing engine.
Identify active jobs
The AI scans your account to find all existing text processing workflows.
list_pipelinesRetrieve job settings
It looks up the specific configuration and state for a chosen pipeline.
get_pipeline_detailsFetch processed data
The AI pulls the specific outputs from completed batch runs.
list_batch_predictionsSummarize status
It translates the raw pipeline data into a readable update for you.
list_pipelinesget_pipeline_details
Try it
Copy these to start.
Use these prompts to get moving immediately.
Starting points
Replace the bracketed text with your specific pipeline names or job IDs.
Deep Talk Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_p1r9lyvKUygLDYkDHtS0iQrZChD9ZM45aBPc7pHA/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 — Deep Talk capabilities are ready to use.
{
"mcpServers": {
"deep-talk-mcp": {
"url": "https://edge.vinkius.com/vk_preview_p1r9lyvKUygLDYkDHtS0iQrZChD9ZM45aBPc7pHA/mcp"
}
}
}Show me all my active NLP pipelines.
What are the configuration details for the 'customer_feedback_topic_model' pipeline?
List the recent batch predictions for the sentiment analysis job.
Check the status of the 'news_aggregator_v2' pipeline and tell me if it's still running.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Deep Talk once, then ask.
Just follow the link to authorize the connection. Your credentials stay encrypted and you'll be ready to chat with your data in seconds.
Connect Deep Talk to your AIFAQ
How the monitoring works
- 01
Can the AI stop a running pipeline?
No. The AI can only list and retrieve details about pipelines. You must use the Deep Talk dashboard to stop or kill a job.
- 02
Can I change the model parameters through the chat?
No. The AI can show you the current configuration using get_pipeline_details, but it cannot modify the settings.
- 03
How often does the AI see new pipeline updates?
The AI sees the most current data available through the tools every time you ask it a question.
- 04
Can the AI delete my batch prediction history?
No. There are no tools provided to delete or remove any data or pipelines.
- 05
Does the AI have access to my raw text files?
The AI only accesses the data exposed by the pipeline tools, such as pipeline status and prediction results.
More questions about Deep Talk? See everything the Deep Talk Connector can do
Connect Deep Talk to Claude, Cursor, ChatGPT & more
