Hot take:
Most AI startups don't have an AI problem.
They have a workflow problem.
We've reached a point where many models are already capable enough for real work.
The challenge is everything around them:
• Passing context
• Coordinating multiple steps
• Maintaining consistency
• Knowing what happened before
That's the direction we've been exploring with ThreadOps.
Do you agree, or do you think model capability is still the biggest bottleneck?