After months of fighting context limits and paying premium model prices for trivial tasks, I stopped treating AI like a chat window and started treating it like infrastructure. What changed: - Each agent has one job, one memory, one permission set - Routing is rule-based, not “AI vibes” - Public agents can’t exec code - Expensive models are gated and deliberate - Maintenance runs on the cheapest possible model Result: - Better answers - Fewer accidents - Predictable costs - Way less cognitive overhead I wrote a full playbook — architecture, configs, security model, and cost optimization. https://medium.com/@procoder/i-replaced-my-entire-ai-workflow-with-an-org-chart-of-7-agents-heres-the-complete-technical-eda367b91b39 Curious how others are handling agent isolation and routing. submitted by /u/procodernet
Originally posted by u/procodernet on r/ArtificialInteligence