Week 2 building AI Bridge — 3 waitlist signups, here's what I learned
I'm building AI Bridge: a single chat interface where Claude, ChatGPT, Gemini, Grok, and DeepSeek can actually talk to each other.
Not just switching tabs. When you ask one AI to "pass the word" to another, it reformulates the question naturally — then shows you a preview before sending. You stay in control.
Why I built this
I kept switching between Claude and ChatGPT for the same project — Claude for thinking, GPT for code. The mental overhead of copy-pasting context back and forth was killing my flow. I wanted them to collaborate like colleagues, not isolated tools.
Where I am now
Landing page live at tryaibridge.com
Waitlist open (3 signups — yes, three 😅)
BYOK model: you bring your own API keys, nothing is stored server-side
AI roles system in progress: assign Coder, Reviewer, Docs, Analyst roles to each AI so they know their job in the session
What I'm figuring out
The BYOK model is a double-edged sword. Someone on IH pointed out it's a "silent funnel killer" — asking for API keys upfront adds friction. But storing keys server-side felt like a trust problem I wasn't ready to solve. Still thinking about this.
What's next
Grow the waitlist to 100 before doing a Product Hunt launch. If you work with multiple AI tools daily, I'd love your feedback — what's the most annoying part of your current workflow?
👉 tryaibridge.com
Interesting concept.
One thing I found myself wondering while reading this is whether the biggest challenge is actually the BYOK model or the positioning. As someone who uses multiple AI tools, the pain isn't really switching tabs. It's knowing when a different model would produce a meaningfully better outcome and whether it's worth the extra effort.
"Multiple AIs talking to each other" sounds technically impressive, but I'm curious what the concrete outcome is for the user.
For example:
Have you identified a specific workflow where AI Bridge consistently outperforms just staying inside ChatGPT or Claude?
That might be the story that gets people onto the waitlist.
That's the right question, and honestly one I'm still validating empirically.
The clearest workflow I've found so far: Claude as Coder writes the implementation, ChatGPT as Reviewer critiques it. The back-and-forth catches issues neither would surface alone — Claude tends to over-engineer, GPT tends to oversimplify. Having them push back on each other in the same thread produces something closer to a second opinion than a single model's self-review.
The concrete outcome I'm testing for: fewer iteration rounds to get production-ready code.
But you're right that "AIs talking to each other" is the mechanism, not the value. The story I should be telling is probably "built-in AI second opinion" — and that's where I'm focusing the positioning next.
If you want to try it with your own keys, there's a demo link in the product (tryaibridge.com, click demo).