Optimizing AI Agent Structure for Efficient Research and Reporting

I'm trying to set up research functionality in a lindy and i was struggling using a single AI agent with access to all the platforms and"skills" i needed so i ended up deciding on a structure where a research coordinator agent works with a bunch of researcher agents to prep a report and feed it back to me Executive Assistant Lindy agent to draft a summary. Is this an insane structure? haha. My main issue here is getting the coordinator to call the different researchers in on research requests and then there's this constant issue with completions getting registered too soon and processes racing ahead while a RAG search is still running or several tiktok scrapes are still processing. I'm struggling to tackle these within my agent prompts and it's leading to information either getting missed or multiple emails being sent. This will be critical because i'd like to eventually train my EA agent to be able to then summarize these research reports into something executable by a graphic design agent to then hopefully send back a visual like a deck or info graphic that i can the give feedback on (hopefully not needed haha) to complete a process. the end result should be comprehensive concise reports in emails or visualized representations of reports i can share with my team. any thoughts on my structure here or how to account for any of these race ahead problems?