Implementation Guides
Operational playbooks for launching quickly and improving quality, reliability, and spend over time.
1
Week-one launch checklist
Start with a narrow scope and ship a stable first version before broad feature expansion.
- Launch with one endpoint and one primary model per workflow.
- Add timeout, retry, and request validation from the first release.
- Prepare a rollback plan before enabling wide traffic.
- Validate behavior using real production-like prompts.
2
Prompt and model evaluation
Treat prompts and model choices as measurable assets, not static assumptions.
- Create test sets for each business-critical use case.
- Score output quality before and after model or prompt changes.
- Track latency percentiles and not only average response time.
- Maintain a changelog for prompt and model revisions.
3
Cost optimization workflow
Control spending with proactive limits and observability at workspace and key level.
- Set monthly and weekly budget thresholds per workspace.
- Move low-risk tasks to lower-cost models when quality is acceptable.
- Track token-heavy endpoints and optimize prompt verbosity.
- Audit inactive keys and revoke unnecessary credentials.
4
Team operations and runbooks
Shared operating procedures help teams react faster during incidents and releases.
- Write runbooks for common failures and quota exhaustion.
- Define ownership for billing, API reliability, and model quality.
- Schedule periodic review of logs, budgets, and key permissions.
- Use post-incident reviews to improve retry and fallback policies.