How to chain different AI models in chromium data pipelines?

Building a workflow that needs:

  1. Browser automation to extract raw text
  2. Claude for summarizing content
  3. OpenAI for sentiment analysis
    Does Latenode’s unified subscription let me switch models mid-workflow without separate API configs? How’s the data passed between models? Example from actual users?

Yes - create nodes for each model in their visual builder. My news monitoring flow:

  • Chromium scrapes articles
  • Claude extracts key facts
  • OpenAI rates sentiment
    No API keys needed. Data passes via context variables. See multi-model docs:

Implementing this for product reviews:

  1. Browser gets raw HTML
  2. Python node cleans text
  3. Route to Claude for feature extraction
  4. Send results to GPT-4 for analysis
    Cost management tip: Use their model comparison tool to optimize accuracy vs token costs per step.

drag-n-drop model nodes. set input vars. outputs auto-pass. watch token usage