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After reading @kenodnb's post, I realized I should’ve looked into Mira’s impact on education way earlier. . .
Because what Mira is doing isn’t just “AI for test creation”, it’s a real leap in how we learn and teach.
➤ Take Learnrite as an example, they used @Mira_Network to upgrade their whole test-making pipeline:
+ Error rate in questions dropped from 28% ➜ 4.4%
+ Review time per question cut from 60 minutes ➜ just 2–3 minutes
+ Cost per high-quality question slashed from $5 ➜ $0.30
+ Weekly output grew from 40 questions ➜ 1,200
+ And now even UPSC exams are fully personalized based on student ability
That’s already impressive.
➥ But Keno’s piece made me wonder, who’s this tech really for?
➤ Students definitely benefit:
+ Get questions that match their level
+ Save study time
+ Focus on their actual weaknesses
➤ But what if teachers used it too?
+ A Literature teacher could use AI to suggest prompts tailored to each student’s learning style
+ A Physics teacher in a small town could generate standardized exams like those in top city schools, all with just a laptop and @Mira_Network
➜ AI becomes a teaching partner, as Learnrite showed, Mira turns teachers from creators to validators.
➥ Every kid deserves a fair shot at learning
These days with all the tech and global stuff, learning’s getting way easier, but mostly for kids who already have access.
Meanwhile, it kinda makes things harder for those in remote areas to catch up. . .
🩶 I’ve always wished that kids living far away could get the same shot at learning as the ones in big cities.
It’s not simple, I know, but I still really believe everyone deserves a fair chance at education 🌻


6.8. klo 22.59
Previously, I covered how @Mira_Network helps power @Delphi_Digital’s AI assistant, Delphi Oracle.
Today, let's look at another use case.
Mira’s verification tech helped Learnrite scale from 40 to 1,200 exam questions a week per expert, without sacrificing quality.
Here’s how it changed everything for one of the most competitive exams on Earth:
Over 1.5M students in India take UPSC every year.
They compete for just 900 positions in the prestigious Indian civil services.
An acceptance rate of less than 0.06%, making it arguably the world's most competitive exam.
To succeed, students need personalized, high-quality questions.
But building that kind of content is slow, expensive, and nearly impossible to scale.
Learnrite’s goal was simple:
Give every student personalized UPSC prep, no matter their budget.
But it cost $5 and 60 minutes per expert to write a single quality question.
Scaling across subjects? Completely unaffordable.
They turned to AI.
At first, it seemed to work.
Fast generation, right topics, clean grammar.
But 28% of questions had serious factual or logical errors.
You can’t train for UPSC with broken content.
That kind of failure can cost students everything they’ve worked for.
Manual review didn’t help either.
Experts still spent nearly as much time fixing AI questions as writing them from scratch.
The economics didn’t change. Quality still suffered. The vision felt out of reach.
Then came verification.
Instead of fixing AI, Learnrite partnered with Mira to verify AI.
Mira uses multiple AI models to cross-check each question.
Only those with consensus get through.
Error rate fell from 28% to just 4.4%.
Here’s what changed inside Learnrite:
- Question speed: 40 to 1,200 per week
- Review time: 60min to 2-3min
- Cost per Q: $5 to $0.30
- Questions per topic: ~50 to 500+
They could now build personalized question sets at scale.
Within 6 months, they scaled verified questions across the entire UPSC curriculum.
Experts stopped creating.
They started evaluating.
That single shift, create first, verify second, flipped the entire production model.
High-quality content now costs 94% less and takes 95% less time to validate.
This changed everything for students:
- Questions now match their level
- Weak areas get more focus
- Difficulty adjusts automatically
- Fresh topics launch in days, not months
Better learning. Less wasted time. More chances to succeed.
As a bonus, AI often generated unique questions experts wouldn’t have come up with.
With verification in place, Learnrite could safely use these creative angles to improve student reasoning.
Mira’s verification layer didn’t replace humans, it multiplied their impact.
The future of education depends on our ability to scale high-quality content without losing trust.
That’s exactly what Mira’s verification layer delivers.
And Learnrite is just the beginning.

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