- MODELS
- RESPONSES
- ANALYSIS
- HUMAN
Short answer
How can I compare SenseNova model outputs with my AI?
Your agent uses the SenseCore Platform to fetch all available SenseNova models and then sends your prompt to each one. You'll get a side-by-side look at how different models respond to the same input.
The comparison results.
Where your data lands.
The agent organizes the model responses so you can evaluate them easily.
MODELS
Model availability list
The agent identifies every SenseNova model ready for use. You'll see exactly which versions are available to test.
RESPONSES
Individual model outputs
The agent captures the specific text generated by each model. You get a clear view of how each one interprets your prompt.
ANALYSIS
Comparative performance
The agent presents the different answers together. This makes it easy to spot which model follows your instructions best.
HUMAN
Your final decision
You review the outputs to pick the winner. The agent provides the data, but you decide which model's logic is superior.
The workflow
What your AI does when the prompt arrives.
The agent automates the repetitive task of switching between different models.
Fetch models
The agent pulls a full list of SenseNova models currently active on the platform.
list_modelsRun first test
The agent sends your prompt to the first available model to get an initial response.
chat_completionsCycle through models
The agent repeats the request for every other model found in the list.
chat_completionsCompile results
The agent gathers all the responses into a single set for you to read.
chat_completions
Try it
Copy these to start.
Use these prompts to trigger a comparison immediately.
Starting points
These are opening lines. Replace the text in brackets with the specific prompt or task you want to test.
SenseCore Platform Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/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 — SenseCore Platform capabilities are ready to use.
{
"mcpServers": {
"sensecore-platform-mcp": {
"url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
}
}
}List all SenseNova models and compare their responses to: [write your prompt here]
Run a comparison of the SenseNova models for this task: [describe your task]
Which SenseNova model is best at [specific task type] based on these prompts?
Compare how the SenseNova models handle this specific instruction: [insert instruction]
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect SenseCore Platform once, then ask.
Link the platform to your agent in one step. Your login stays encrypted on our side, and you can find the full setup guide on the Connector page.
Connect SenseCore Platform to your AIFAQ
How this task behaves.
- 01
Can the AI automatically choose the best model for my project?
The agent can show you the differences, but you have to be the one to decide which model is the right fit.
- 02
Can the agent change the model parameters like temperature?
No. The agent only uses the tools provided to list models and send chat completions.
- 03
Does the AI have the ability to delete models from the platform?
No. The agent cannot delete or modify any models in the SenseCore Platform.
- 04
Can I compare SenseNova models with models from other providers?
No. This task is specifically for comparing the SenseNova models available through this MCP.
- 05
Will the agent save these comparisons for me later?
The agent performs the task in your current session. It does not have a tool to save or store these results in the platform.
More questions about SenseCore Platform? The Connector page answers them. See everything the SenseCore Platform Connector can do
Connect SenseCore Platform to Claude, Cursor, ChatGPT & more
