Meet BandLeader: A Multi-LLM Platform with a Personal Touch
Over the past year, we’ve been exploring the world of coding in ways we never anticipated. Like many of us, I’ve watched AI tools rapidly evolve—from novelty to necessity. While we have very capable developers, I wanted to see how far a novice like me could get to producing a production ready tool. As I shared in a post a few months ago, I found building a prototype relatively easy. Bringing it to production-ready is considerably more challenging. Having crack developers at the ready has been essential for the time being for what we've been calling the last mile of development.
Bandleader sprung from a recurring question from friends and clients. Which LLM is the best? And, for which questions? How do I know if my digital twin or AI companion provides better results than one of the standard LLMs.
BandLeader.ai is a new platform that makes working with multiple large language models (LLMs) intuitive and personalized. If you’ve ever found yourself wondering, “Which AI model gives the best answer to this prompt?”—bandleader.ai can help.
Here’s how it works:
Pick up to four LLMs (e.g. ChatGPT 5 Mini, Gemini Flash, Claude Haiku, Perplexity)
Submit one prompt across all of them simultaneously
BandLeader then acts as a smart referee, evaluating which model delivers the best response for your needs
You can use a built-in referee model—or build your own digital twin, a personalized filter that understands your tone, preferences, and goals.
This means you’re not just getting more answers. You’re getting the one that’s most relevant, most trustworthy, and most “you.”
📊 The Scoring System: Relevance. Authenticity. Trust.
At the heart of BandLeader is a scoring system designed to help you make informed decisions, not just gut calls.
Each LLM response is evaluated on:
Relevance – How well it addresses your prompt
Authenticity – Whether it sounds natural, useful, or human
Trust – Accuracy, citations, and overall reliability
These roll up into a composite score, with trust carrying the most weight—because in the age of AI, credibility matters.
For the data-inclined, you can also peek under the hood at:
Token usage
Model latency
Response length
Cost indicators
This makes bandleader.ai especially helpful for teams managing performance or budget across multiple models.
From “I Wonder If...” to a Working Platform
Personally, this project marks a major shift. Just a year ago, I was more likely to be reading about AI than building with it. But clever AI tools lowered the barrier so significantly that I could bring this idea to life without a traditional CS background.
And in doing so, I’ve come to believe something strongly:
> We’re entering an era where AI creation is no longer reserved for experts—it’s available to anyone curious enough to try.
That mindset—experimentation over perfection—is baked into how we’re rolling out bandleader.ai. It’s still in beta, and there’s lots to learn.
🎯 Try It. Break It. Shape It.
If you work with LLMs, experiment with prompts, or just love nerding out about what’s next in AI—I’d love for you to give bandleader.ai a try.
Your feedback will shape what this becomes.
Use it to compare models
Build your own referee (or digital twin)
Discover which model works best for you