Swap GPT-5 for Gemini 3 Pro in an LLN Gateway Demo (Full Transcript)

A quick demo shows how changing one setting in LLN Gateway lets a meeting-to-dos workflow run on Gemini 3 Pro Preview with no code changes.
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[00:00:00] Speaker 1: Hey everyone, Gemini 3 Pro is finally here. I heard that it shows really promising results with agentic workflows, so I figured I'd give it a try. I built a small demo here that uses LLN Gateway to create to-dos based on a meeting recording. Since I'm using LLN Gateway with Assembly, I just need to change the model used here from GPT-5 to Gemini 3 Pro Preview, and my code should still work but now we're making a request with Gemini 3 Pro instead of GPT-5. So let's run and give it a try. So just with a simple script, we can already see some to-dos being populated here. Great, LLN Gateway makes it super easy to switch between models to find the perfect fit for your app. So happy building, can't wait to see what you build with it.

ai AI Insights
Arow Summary
A developer tests Gemini 3 Pro Preview for agentic workflows by swapping the model in an existing LLN Gateway + Assembly demo that generates to-dos from a meeting recording, showing the code works unchanged and produces tasks successfully.
Arow Title
Testing Gemini 3 Pro Preview via LLN Gateway To-Do Demo
Arow Keywords
Gemini 3 Pro Preview Remove
agentic workflows Remove
LLN Gateway Remove
Assembly Remove
model switching Remove
GPT-5 Remove
meeting recording Remove
to-do generation Remove
LLM integration Remove
demo Remove
Arow Key Takeaways
  • Gemini 3 Pro Preview can be tried in agentic workflows with minimal effort.
  • LLN Gateway enables model swapping (e.g., GPT-5 to Gemini 3 Pro) without changing application logic.
  • A simple script can generate actionable to-dos from meeting recordings using the gateway and transcription/processing stack.
  • Developers can evaluate model fit by quickly switching providers/models within the same integration.
Arow Sentiments
Positive: Upbeat, enthusiastic tone highlighting ease of switching models and successful results ('promising results', 'great', 'super easy', 'happy building').
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