Skip to content

Assessment · 5 minutes · Free

Multi-Model Architecture Readiness Assessment

14 questions across the six rules for LLM-agnostic AI agents. Score your architecture, get prioritized fixes, and download a personalized PDF report including a deployment spec template and quarterly drill runbook tailored to your environment.

The framework: Six Rules for LLM-Agnostic AI Agents on Microsoft Foundry.

Environment context

1. Which clouds host your AI workloads today?

Environment context

2. What is your monthly AI agent volume (LLM calls)?

Rule 1 · Gateway abstraction

3. How are your agents connected to LLM providers?

Rule 1 · Gateway abstraction

4. If you needed to switch LLM provider tomorrow, how long would it take?

Rule 2 · Route per task complexity

5. How is the model chosen for a given prompt?

Rule 2 · Route per task complexity

6. Have you analyzed task-complexity distribution within each agent?

Rule 3 · Prompt portability

7. Do your prompts use vendor-specific structured-output schemas?

Rule 3 · Prompt portability

8. Could you swap models without rewriting prompts?

Rule 4 · Traffic tiering

9. What share of your traffic goes to frontier models (Tier 3)?

Rule 4 · Traffic tiering

10. Do you have explicit cost-per-tier budgets?

Rule 5 · Version pinning

11. Are model versions pinned in production?

Rule 5 · Version pinning

12. Do you have an eval suite that catches prompt regressions?

Rule 6 · Quarterly drill

13. Have you ever swapped a default model in staging as a deliberate test?

Rule 6 · Quarterly drill

14. Do you have a documented runbook for handling a vendor deprecation?

14 questions, scored 0-3 each. Total takes about 5 minutes.