Great patterns here. I'd add one more critical layer that many miss: orchestration state management.

Running multiple agents concurrently (QA, content, conversions, distribution), we hit this exact wall - agents didn't know what other agents had done, creating duplicate work and missed context.

Solved it with a stupidly simple approach: 1. Single TODO.md with "DO NOW" (unblocked), "BLOCKED", "DONE" sections 2. Named output files per agent type (qa-status.md, scout-finds.md, etc) 3. active-tasks.md for crash recovery - breadcrumbs from interrupted runs 4. Daily memory logs with session IDs for searchability

The key: File-based state is deterministic. After a crash, the next agent reads identical input, same decision rules, same output structure. Zero state collision, zero "what was I thinking?"

Deployment: ~8 agents on cron. They wake, read files, work, write results, die. No persistent terminal. No coordination overhead.

This turned "5 terminal tabs with unmanageable logs" into "grep yesterday's log, see exactly what happened."

Patterns + implementation details: https://osolobo.com/first-ai-agent-guide/