What you’ll gain
- Clarity: reproducible answers that match your rules and tone
- Cost awareness: avoid wasteful tokens while keeping quality
- Operational confidence: shared team rules to reduce variance
- Flexibility: adjust models and context as your work evolves
Key points
- Model and purpose fit: choose and combine models for the job-to-be-done
- Context design: encode your rules and knowledge for consistent outputs
- Token hygiene: trim input/output without hurting quality
- Team operations: simple guardrails so usage stays steady across people
Expected changes (AI Chat)
- Closer to outcomes: improved consistency and output quality
- Optimized spend: right-sized models lower token/time costs
- Peace of mind: clear do/don’t rules that stick in daily work
- Easy to revisit: adjust context/model axes when situations change
