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You think better documentation stops AI hallucinations. You give the AI latest APIs. You add team conventions. The AI still fails.
Better context reduces errors. It does not remove them. Production crashes live in this gap.
AI fails for three reasons:
- AI ignores info in the middle of long text.
- AI trusts old training over new docs.
- AI predicts words. It does not follow instructions.
You need two pipelines:
- Context pipeline: Gives AI the right info.
- Verification pipeline: Checks if AI used info correctly.
Most teams only build the first one. They track if the AI got the document. They do not track if the output is correct.
Think of a restaurant. Context is like ingredients. Verification is like a taste test. Expensive ingredients do not guarantee a good meal. The chef must taste the dish before it reaches the customer.
Good context makes errors more dangerous. The code looks right. It follows conventions. You trust it more. But it violates a hidden rule. The damage is higher because you stopped looking.
Do this now:
- List 5 properties your system must satisfy.
- See if these are in your RAG pipeline.
- Add a mechanical check to your CI pipeline.
Check the output regardless of how the AI made it. Context is necessary. Verification is mandatory.
Optional learning community: https://t.me/GyaanSetuAi