Anthropic just dropped managed agents and routines. Everyone's asking "does this replace n8n?" Short answer: no. Here's why. Routines are time-based only. No webhooks. No event triggers. Research preview. The Register called them "mildly clever cron jobs." Managed agents? Powerful — but single-task. No multi-tenant awareness. No version tracking across clients. No rollback. So what actually happens in a real agency stack: → n8n for event-driven workflows → Claude routines for scheduled reasoning → Make for the stuff already wired up → Custom scripts for edge cases → GHL sub-accounts held together with prayer → Now managed agents on top of all of it 6 dashboards. Zero shared view of what's actually running. Every new tool solves one problem and adds another integration to maintain. The issue was never which tool — it's that nobody's tracking what's running across all of them. DM me if you're hitting the scaling wall — I'll help you map the fix.

Building voice agents for dental clinics using Retell.ai, n8n & Airtable. Got asked about data privacy during a demo and realized I don't fully understand how to secure the entire flow — especially when integrating with EMRs like Oscar Pro. I know the terms — HIPAA, BAA, TLS, PHI — but I can't fully visualize where patient data is exposed and how to lock it down end to end. This is a real gap for me right now and it's blocking me from moving forward confidently with clinic clients. This is really important to me. I want to do this the right way before I scale. If you've built HIPAA-compliant automations or integrated voice AI into healthcare — please drop a comment, DM me, or even just point me to the right resource. I'm willing to jump on a call too if someone's open to it. Don't let me figure this out the wrong way 🙏 Your input could genuinely change how I build this.

Hey everyone — quick question for the builders here. Is anyone managing 5+ client AI agent setups (voice, n8n, automations, etc.) across different accounts right now? I’m noticing that once you pass a handful of deployments things start getting messy — cloned workflows diverge, prompts drift, and it’s harder to keep track of what changed where. Curious if anyone else is experiencing complexity creep as stacks scale. Would love to hear how people are handling it.