Today’s update is small on the surface, but important for trust.
I’ve been building Vizora, a schema-first platform that turns database schemas into diagrams, documentation, and understanding.
One recurring problem kept showing up during testing:
AI answers were often almost right — and “almost right” is the most dangerous kind of wrong.
So today, I shipped a fix for that.
The Problem I Wanted to Solve
Most AI assistants:
Give confident answers
Hide assumptions
Force engineers to double-check everything
That creates a debugging tax:
You ask a question
You get an answer
You still need to verify it manually
At that point, trust drops.
I didn’t want Vizora to become “just another AI chat”.
Today’s Update: Schema-Constrained, Evidence-Based AI
I updated the Ask Schema feature so that every AI answer is now verifiable.
New Rule (Non-Negotiable)
Every AI response must explicitly show:
✅ Schema version used
✅ Referenced tables
✅ Referenced columns
✅ Relationships involved
If the schema doesn’t contain enough information, the AI must say so clearly.
No guessing. No filler.
Example
Question
What breaks if I remove user_id from orders?
Answer
Removing orders.user_id breaks the relationship between orders and users, affecting ownership linkage.
Evidence shown
Schema v14
Tables: orders, users
Columns: orders.user_id, users.id
Relationship: orders.user_id → users.id
Now you can trust the answer at a glance.
Why This Matters
This update directly reduces:
AI hallucinations
Verification time
Context switching
“Let me check the schema myself” moments
The AI is no longer a guessing assistant — it’s a schema reasoning layer.
What I Deliberately Didn’t Add
❌ No generic chatbot
❌ No free-form AI answers
❌ No runtime behavior speculation
❌ No query-level debugging
Vizora stays focused on structure and understanding, not execution.
What’s Next
Next updates I’m working on:
Schema quality & risk insights
Auto onboarding guides for new developers
Better schema diff visualizations
Still keeping the scope tight and developer-first.
If you’re building tools with AI inside, I’m curious:
How do you handle trust?
Do you show evidence, or expect users to verify?
Happy to discuss in the comments.
Thanks for reading 👋
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