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This guide focuses on AI draft verification for production systems, with practical trade-offs for reliability, security, and cost.
Not every token deserves the expensive model. Draft-then-verify routes cheap drafts to an expensive gate for risky or low-confidence outputs — saving money without shipping unchecked diffs.
⚡ TL;DR: Cheap model drafts intents/plans; verifier model (or tests+critic) gates apply. Route by risk score and confidence. Tests still run regardless of model route.
AI draft verification: production guidance
python
RISKY_PATHS = ("/terraform/", "/iam/", "/payments/")
def needs_expensive_gate(intent: dict, conf: float) -> bool:
if any(p in intent["path"] for p in RISKY_PATHS):
return True
return conf < 0.7
typescript
✅ Tests still run regardless of model route — verify ≠ skip CI.
export async function draftThenVerify(goal: string) {
const draft = await cheap.complete(goal);
if (!needsExpensiveGate(draft)) return draft;
const verdict = await expensive.verify(draft);
if (!verdict.ok) throw new Error("verify_reject");
return draft;
}
Closing checklist
- [ ] Risk-based routing
- [ ] Expensive verify on risky paths
- [ ] Keep deterministic tests as ground truth
- [ ] Log which model drafted vs verified
- [ ] Eval both paths in the suite
Series navigation
Day 72: Prompt Caching Pitfalls · Day 74: Batch Inference Overnight Last updated September 11, 2026 Related: Day 12: ReAct vs Plan-Then-Act vs Compiler Agents; IAM Access Analyzer: Verify AI-Generated Policies Before Attach; Incident ChatOps AI: Draft Change Tickets Without Auto-Remediating.Watch: 100 Days of AI on YouTube
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