- DATA ADDITION
- LABEL CORRECTION
- DATA AUDIT
- HUMAN REVIEW
Short answer
How can I improve my model accuracy using AI?
You tell your AI what data to add or which labels to change, and it updates Nyckel directly. This keeps your training sets fresh and accurate through simple chat commands. You get a tighter, more reliable model by closing the feedback loop in real time.
Where every update lands.
Model refinement outcomes
Every command you give your AI results in a specific change to your Nyckel dataset.
DATA ADDITION
New training samples
Your AI creates new data points based on your descriptions. This expands your model's knowledge base instantly.
LABEL CORRECTION
Fixed classifications
The AI updates existing samples that were tagged incorrectly. This cleans up your training data automatically.
DATA AUDIT
Current sample list
Your AI pulls a list of what is currently in your dataset. You can review what the model has learned so far.
HUMAN REVIEW
Manual verification
You decide which labels are wrong or which new samples are needed. The AI only acts on your specific instructions.
The workflow
What your AI does when you request a model update.
The AI acts as a bridge between your natural language instructions and the Nyckel API.
Identify existing data
The AI looks through your current training set to see what you are talking about.
list_ml_samplesAdd new information
When you describe a new scenario, the AI pushes that data into your model.
create_ml_sampleCorrect mistakes
If a sample has the wrong tag, the AI updates that specific entry.
annotate_ml_sampleConfirm changes
The AI verifies the new state of your data to ensure the update worked.
list_ml_samples
Try it
Copy these to start.
Use these prompts to begin interacting with your Nyckel data.
Starting points
Swap out the bracketed text with your actual Nyckel model names or sample IDs.
Nyckel Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_XHJXGFWpxs8iH5SOEbAtipKgPVXhxGte0LRcKzdL/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 — Nyckel capabilities are ready to use.
{
"mcpServers": {
"nyckel-ml-mcp": {
"url": "https://edge.vinkius.com/vk_preview_XHJXGFWpxs8iH5SOEbAtipKgPVXhxGte0LRcKzdL/mcp"
}
}
}List all the ML samples in my 'customer_sentiment' model.
Create a new ML sample for the 'spam_filter' model with the text 'Win a free prize now' and label it as spam.
Update the label for sample ID 12345 in my 'intent_classifier' model to 'billing_query'.
Show me the samples currently in my 'image_recognition' model so I can check for errors.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Nyckel once, then ask.
Just link your account once. Your credentials stay encrypted, and you can start managing your models immediately.
Connect Nyckel to your AIFAQ
How this task behaves
- 01
Can the AI delete training samples?
No. The AI can only create, list, or annotate samples. It cannot delete data from Nyckel.
- 02
Does the AI decide which labels are correct?
No. The AI only applies the labels you tell it to apply. You remain in control of the classification logic.
- 03
Can I use this to train a brand new model from scratch?
The AI can add samples to an existing model, but it does not handle the initial model architecture or setup.
- 04
How does the AI know which sample to update?
You need to provide the specific sample ID or enough context for the AI to identify it using the available tools.
- 05
Will my model update instantly after I chat?
Yes. Once the AI successfully runs the tool, the changes are live in Nyckel.
More questions about Nyckel? See everything the Nyckel Connector can do
Connect Nyckel to Claude, Cursor, ChatGPT & more
