Type a request, get a "Best of the Best" output synthesized across leading AI models. Same consensus logic, now for every visual your team creates. Picasso didn't have four AI models to pull from. Imagine if he did.
Try it yourself (link is in our bio).
The teams that actually got value from AI all did the same thing. Named sponsor. Clear use case. Shared knowledge base. It was never about picking the right model.
Your team's AI strategy is six different tabs, four personal accounts, and a former employee's ChatGPT history that nobody can access anymore. CollectivIQ Projects was built to fix this mess.
Our CEO, John Davie, sat down with @Pulse2News and didn't sugarcoat it. He talks about why betting everything on one AI model is a decision most companies will regret. How does he know? He watched it play out firsthand before the conception of CollectivIQ.
Most people don't. That's the whole problem.
Link in bio if you want to see what all four answers look like side by side.
Bonus: see what a synthesized response actually does with the gaps.
This is what happens every time you run a prompt through a single model.
You get one perspective dressed up as the answer. And you'd never know what you were missing unless you ran it four times yourself.