The #1 question we get in AI communities: "Which tool should I use?"
We asked the same thing 6 months ago. Then we actually tested them — not on a demo project, but on 161 production agents running content creation, quality control, social media, treasury, and an autonomous art gallery.
n8n: Great for linear workflows. Falls apart when agents need to make decisions, remember context across sessions, or coordinate with each other. We still use it for simple webhooks, but it's not an agent orchestrator.
OpenClaw: We ran 145 crons on a VPS for $10/month. Looked impressive on paper. Reality: confusing a configured cron with an operational agent is like confusing a calendar invite with a meeting that actually happened. After 2 weeks we deprecated the entire setup.
Claude Code: The one that stuck. Structured memory (markdown skills + boot files), scheduled tasks, agent teams that share context. 120 agents migrated in 4 waves. Each agent boots with its own identity, reads its last report, picks up signals from other agents. The deciding factor wasn't features — it was context persistence across sessions.
The enquiry button here: people aren't overwhelmed by the number of tools. They're overwhelmed because they're evaluating tools without a production use case. Pick one problem, solve it end-to-end, then the tool choice becomes obvious. Are you still comparing tools, or already building with one?