Why Your AI Agents Keep Stepping on Each Others Toes

Short summary

Solo founder Elena Vakeva shares hard-won lessons from building multi-agent systems with real production constraints. Centralized vector databases create noise, not clarity; her practical fixes are ruthless one-sentence memory handoffs between agents and explicit coordination checkpoints where the founder makes alignment calls. The key insight: in resource-constrained founder-led setups, human attention is the true bottleneck—modest improvements in inter-agent collaboration and coordination dramatically increase shipping capacity.

• •Centralized vector DBs amplify noise in multi-agent systems; signal gets lost under context
• •Memory handoffs (single concise summary per agent task) and explicit founder coordination prevent chaos
• •For solo founders, human attention, not agent autonomy, is the real bottleneck

Generated with AI, which can make mistakes.