Automation
Routing Playbooks for Multi-Model Tasks
Pick the right model route per task using simple decision trees and logged outcomes.
Cohort + live labs 4 weeks · cohort BRL 890 informational
Responsible facilitator
Vivian Costa
Operations advisor for teams juggling multiple model endpoints.
Program narrative
Operations and product teams build routing tables, log latency vs. quality tradeoffs, and create fallbacks when providers change behavior.
Inside the bundle
- Decision trees with measurable thresholds
- Latency vs. quality logging sheet
- Fallback prompts when routes fail
- Change-management notes for providers
- Dashboard mockups in plain CSS
- Weekly live labs with real scenarios
- Office hours with operations advisor
Artifacts you should exit with
- Ship a routing table for three task types
- Document provider change impacts
- Present a readout ops can scan in five minutes
Learner questions
No. Labs can run against sandbox endpoints; focus is on decision design.
Notes from participants
The latency vs. quality sheet is pinned in our war room. Vivian’s change-management notes helped us survive a sudden tokenizer tweak.
Eduardo S. · Ops lead · 5/5
Anonymous: routing playbooks exposed how many “urgent” tasks were actually low risk—helpful, slightly uncomfortable.
Client in logistics
Next step
No instant checkout—send context through the inbox and we reply with seat options in BRL.
Request information