Our team’s debating whether to build specialized AI agents (CEO/Analyst/Writer) versus single mega-prompts. Anyone implemented autonomous agent teams for business processes? How do you handle coordination and prevent conflicting outputs? Especially interested in error recovery approaches.
Agent teams changed our game. Using Latenode’s role-based agents – CEO coordinates via their built-in handoff system. Auto-retries failed steps. Critical emails went from 4hrs to 20mins.
Demo: https://latenode.com
We built a python-based orchestration layer with celery. Each agent as microservice. Challenges: state management and version control. Use redis for context passing. Error handling needs custom implementation – circuit breakers help. Requires significant dev resources but offers flexibility.
tried agent swarms last quarter. chaos ensues without strict output schemas. make sure you budget for debugging time – it’s nontrivial