Implementation Playbook
Step-by-step guide from baseline audit through instrumentation, allocation, optimization, and governance.
Documents, templates, and starter artifacts to implement TokenOps across your organization.
Step-by-step guide from baseline audit through instrumentation, allocation, optimization, and governance.
Auto-generated snapshot of the maintained pricing dataset: per-model input/cached/output rates, context windows, batch discounts, and caching notes, each with a source link and verification date.
The complete TokenOps guide, free and always current — pricing figures render from the maintained dataset rather than a frozen snapshot.
Worked optimization scenarios with cost math — from a SaaS chatbot to a nightly enrichment pipeline. Figures are illustrative teaching scenarios, not measured production data.
Gateway configuration with team, service, feature, and model metadata for every LLM API call.
60-minute meeting template covering metrics review, optimization progress, budget forecast, and priorities.
Task-to-model mapping with quality thresholds, cheaper alternatives, and A/B testing steps.
Cost analysis, unit economics, optimization roadmap, and risk assessment for new AI features.
12-item checklist for compression, format constraints, validation, and operations before deploying prompts.
Soft alerts, hard limits, exception processes, and escalation paths for token budget enforcement.
Pre-production checklist for tagging, cost tracking, governance, and operational readiness.
PostgreSQL / Supabase migration for LLM usage logging with teams, usage logs, and budget tables.