Stop relying on fragile regex rules or hoping text prompts return clean JSON. Discover how 10d Zero-Hallucination Structured Outputs enforce strict schemas at runtime.
Published by 10d Engineering • 7 min read • Category: Comparisons
If you have ever tried parsing a complex legal document or unstructured customer log using Regular Expressions (regex), you know the feeling of pure horror when a single unexpected space or missing comma breaks your entire parser! 😱
Developers often say: "I had a problem, so I used Regex. Now I have two problems."
And if you rely on standard generative text models without strict guardrails, you get unpredictable outputs, hallucinated keys, and broken types. 10d Zero-Hallucination Structured Outputs solve this forever by enforcing 100% schema-bound contracts at runtime.
| Capability | Traditional Regex & String Matching 🕸️ | 10d Zero-Hallucination Engine 🎯 |
|---|---|---|
| Resilience to Variation | Zero—breaks on minor spacing/formatting changes | 100%—understands semantic intent regardless of format |
| Output Type Safety | Weak—returns raw unvalidated text strings | Strong—guarantees exact JSON types (numbers, booleans, enums) |
| Hallucination Risk | N/A (Rule brittle) | 0%—schema constraints prevent invented fields |
| Maintenance Cost | High—thousands of unreadable regex strings | Low—clean TypeScript/JSON schema declarations |
| Validation Guarantee | Manual try-catch blocks needed | Runtime schema enforcement before return |
With 10d, defining audit extraction schemas is clean, readable, and 100% type-safe:
import { AuditSchema, SchemaEnforcer } from '@10d/structured-outputs';
// Define the exact compliance output contract
const VendorAuditSchema = AuditSchema.object({
vendorId: AuditSchema.string(),
isSanctioned: AuditSchema.boolean(),
riskScore: AuditSchema.number().min(0).max(100),
flaggedClauses: AuditSchema.array(AuditSchema.string()),
});
// Execute audit extraction with guaranteed zero-hallucination return
const auditResult = await SchemaEnforcer.extract({
documentText: rawContractPayload,
schema: VendorAuditSchema,
strictMode: true,
});
// TypeScript automatically knows auditResult properties with full IntelliSense!
console.log(auditResult.vendorId, auditResult.riskScore);When auditing financial ledgers or corporate contracts, a hallucinated number isn't just an error—it can lead to severe regulatory fines or failed compliance reviews.
10d's structured output engine ensures that every extracted data point maps directly back to verifiable source evidence.
🚀 Key Takeaway: Stop parsing enterprise text with hope and regex hacks. Switch to 10d Zero-Hallucination Structured Outputs for 100% schema-enforced reliability!
| Feature | 10d.app | Manual Auditing |
|---|---|---|
| Inspection Timing | Real-time (milliseconds) | Quarterly (30-90 days) |
| Verification | 100% full stream | Manual sampling |
Evaluates events at network edge before committing.
Manual 90-day post-mortems
Ditch manual spreadsheet tracking for automated, 24/7 global regulatory intelligence that alerts you before policy changes hurt your business.
Stop relying on fragile regex rules or hoping text prompts return clean JSON. Discover how 10d Zero-Hallucination Structured Outputs enforce strict schemas at runtime.
Published by 10d Engineering • 7 min read • Category: Comparisons
If you have ever tried parsing a complex legal document or unstructured customer log using Regular Expressions (regex), you know the feeling of pure horror when a single unexpected space or missing comma breaks your entire parser! 😱
Developers often say: "I had a problem, so I used Regex. Now I have two problems."
And if you rely on standard generative text models without strict guardrails, you get unpredictable outputs, hallucinated keys, and broken types. 10d Zero-Hallucination Structured Outputs solve this forever by enforcing 100% schema-bound contracts at runtime.
| Capability | Traditional Regex & String Matching 🕸️ | 10d Zero-Hallucination Engine 🎯 |
|---|---|---|
| Resilience to Variation | Zero—breaks on minor spacing/formatting changes | 100%—understands semantic intent regardless of format |
| Output Type Safety | Weak—returns raw unvalidated text strings | Strong—guarantees exact JSON types (numbers, booleans, enums) |
| Hallucination Risk | N/A (Rule brittle) | 0%—schema constraints prevent invented fields |
| Maintenance Cost | High—thousands of unreadable regex strings | Low—clean TypeScript/JSON schema declarations |
| Validation Guarantee | Manual try-catch blocks needed | Runtime schema enforcement before return |
With 10d, defining audit extraction schemas is clean, readable, and 100% type-safe:
import { AuditSchema, SchemaEnforcer } from '@10d/structured-outputs';
// Define the exact compliance output contract
const VendorAuditSchema = AuditSchema.object({
vendorId: AuditSchema.string(),
isSanctioned: AuditSchema.boolean(),
riskScore: AuditSchema.number().min(0).max(100),
flaggedClauses: AuditSchema.array(AuditSchema.string()),
});
// Execute audit extraction with guaranteed zero-hallucination return
const auditResult = await SchemaEnforcer.extract({
documentText: rawContractPayload,
schema: VendorAuditSchema,
strictMode: true,
});
// TypeScript automatically knows auditResult properties with full IntelliSense!
console.log(auditResult.vendorId, auditResult.riskScore);When auditing financial ledgers or corporate contracts, a hallucinated number isn't just an error—it can lead to severe regulatory fines or failed compliance reviews.
10d's structured output engine ensures that every extracted data point maps directly back to verifiable source evidence.
🚀 Key Takeaway: Stop parsing enterprise text with hope and regex hacks. Switch to 10d Zero-Hallucination Structured Outputs for 100% schema-enforced reliability!
| Feature | 10d.app | Manual Auditing |
|---|---|---|
| Inspection Timing | Real-time (milliseconds) | Quarterly (30-90 days) |
| Verification | 100% full stream | Manual sampling |
Evaluates events at network edge before committing.
Manual 90-day post-mortems
Ditch manual spreadsheet tracking for automated, 24/7 global regulatory intelligence that alerts you before policy changes hurt your business.