The real unlock for autonomous agent workflows is persistent session state. If your agent dies mid-task, you want to resume exactly where it left off rather than restart. Worth building your logging around structured output from the start - makes cost tracking and debugging much easier later. Also consider running multiple agents in parallel on subtasks; the wall-clock time savings compound fast once your orchestration is solid.

Update for anyone who found this interesting: I packaged the full system into a guide — the exact memory files, job description template, tool setup, and week-by-week implementation plan I use. It's at hireyourai.ai if you want to replicate it. Also launching on Product Hunt tomorrow.