Multiplexer (Quick Take)
In a nutshell The Multiplexer is like asking a group of friends the same question.
You get different answers side by side — and sometimes blend them into one best answer .
Why It Matters No single AI knows everything.
Some explain things clearly.
Others are more creative.
A few know niche details.
Multiplexer shows you all their answers at once so you can pick the best parts. It’s about hearing more voices before making up your mind.
Example Multiplexer (Full Overview)
What is Multiplexer? The Multiplexer let’s you have your cake and eat it too.
It lets you query multiple models at once, compare their answers, and even synthesize them into a single Super Response .
Why It Matters AI models are not interchangeable — each has its own strengths and weaknesses.
Some excel at reasoning
Others shine at creativity
Some are fast, others more accurate.
Multiplexer ensures you never miss an angle. Diversity of thought → stronger, more reliable answers.
How It Works
Select Models
Choose which LLMs to query.
Send Prompt
Ephor runs your query across them in parallel.
Compare Outputs
Responses appear side by side, each tagged by model.
Synthesize
Fuse results into a Super Response .
When to Use It
Compare reasoning depth across models to uncover unique insights.
Generate diverse tones and choose the best fit for your audience.
Cross-check claims when accuracy is paramount.
Tips & Best Practices Don’t always reference the combined outputs — the underlying contradictions often spark the most valuable insights.
Use Multiplexer early in your workflow to explore, then narrow down to the best model for the task.
In Action Why It Fits Into Ephor Multiplexer mirrors how expertise develops:
Exposure → multiple perspectives.Synthesis → identifying overlaps and contradictions.Worldview → shaping your own informed stance. This is the essence of AI-first, self-driven learning that Ephor enables.
