AI is only as good as what it reads
A context integrity layer that unifies enterprise knowledge and prevents hallucinations before AI runs.
Fragmented context.
Contradictory sources.
Unreliable AI.
Enterprises deploy AI on top of documents, code, and systems that don’t agree with each other.
When context is fragmented, AI outputs are inconsistent even when models are state-of-the-art.
19% slower
Task completion due to retries, rework, and validation with AI usage.
30% of production code is generated with the help of AI.
Documentation, code, and policies frequently describe the same behavior differently. AI systems have no way to resolve which source is correct.
# Hello World Example
This program prints "Hello, world!" to the console.
Run:
python main.py
Fragmented context does not scale, but AI usage does.
Power your AI with
Single Source of Truth
Ensuring AI is grounded in the correct context is critical to consistent behavior and reliable decisions in production.
import { addMinutes, isAfter } from "date-fns";
import { db } from "../db";
export async function createPasswordResetToken(userId: string) {
const token = crypto.randomUUID();
const expiresAt = addMinutes(new Date(), RESET_TOKEN_TTL_MINUTES);
...
}
export async function validatePasswordResetToken(token: string) {
... if (isAfter(new Date(), record.expiresAt)) ...
}
## Password reset links
Password reset links are valid for .
If a user requests multiple reset links, the most recent link remains valid. Older links may still work until they expire.
### Example
Users can safely return later and complete the reset flow within a day.
WHAT'S WRONG
Confluence states password reset links are valid for 24 hours, but GitHub enforces an expiration of 15 minutes.
AI IMPACT
Model is likely to generate reset flows and support guidance assuming a 24-hour window (e.g., "try again later"), causing user friction and increased support load when links expire quickly.
SUGGESTED FIXES
Fix 1: Align to GitHub · src/auth/passwordReset.ts (recommended)
Update documentation to reflect the 15-minute TTL and user experience expectations.
✅ Proposed doc change
Password reset links are valid for 15 minutes. Expired links require requesting a new reset email.
Fix 2: Align code to Confluence · Password Reset
Change token TTL to 24 hours and confirm security requirements allow the longer validity.
✅ Proposed code change
const RESET_TOKEN_TTL_MINUTES = 60 * 24;
Downstream documentation updates
Keep documentation accurate over time. Orcho detects when code or system behavior changes and updates downstream documentation automatically, eliminating stale examples and outdated information.
Repository-native remediation
Fix issues where teams already work. Findings are delivered as pull requests and doc changes in GitHub and internal tools, reviewed and merged through existing workflows.
Prompt verification
Verify prompts against real system behavior. Prompts are checked against live code paths, constraints, and definitions to ensure instructions match how systems actually work.
Context integrity with Orcho
A system-level approach to validating context before AI execution.
Orcho Ingests your Documentation
Place Orcho Upstream of AI execution
No changes to models, prompts, or source systems.
Read-only ingestion with native workflows.