Design governance, evaluation, and orchestration systems that route tasks across heterogeneous AI models while balancing cost, latency, and reliability.
No model is perfect. Build layered defenses to keep experiences resilient.
When a response fails quality checks (toxicity, hallucination heuristics, blank outputs), the controller can retry with adjusted parameters—higher temperature moderation, revised prompts, or degraded but safe modes. Set retry budgets to prevent runaway costs.
Integrate routing with incident response. If evaluation detects a regression, the controller should route away automatically, notify operators, and log affected sessions for follow-up.