At Redpapr, we believe AI is one of the most powerful tools ever created for education. But with power comes responsibility. The way AI is integrated into learning platforms today will define the future of how students think, study, and succeed. That’s why we don’t just use AI — we live by a set of principles that guide how we adopt, adapt, and deploy it.

This isn’t just about picking the latest shiny model. It’s about being responsible, being fearless, and being honest about the limitations and risks of AI. Below are the principles we stand by.

1. The right AI for the right job

There is no “one AI to rule them all.” OpenAI, Anthropic (Claude), Google Gemini, DeepSeek, ElevenLabs, and local LLMs — each has unique strengths. Claude is brilliant at reasoning, Gemini is fast and multimodal, GPT excels at creativity, local models give us privacy and cost efficiency. We mix and match. We experiment. We don’t marry one vendor.

For us, AI is a toolbox, not a single hammer.

2. Local first, cloud when needed

Whenever possible, we run AI on our own machines. Local models keep student data private, slash costs, and give us full control over uptime and latency. They’re lighter, sometimes less flashy, but they allow us to experiment without limit.

When the task demands cutting-edge reasoning or scale, we go cloud. But the default is: keep it close, keep it safe.

3. Always upgrade, never stagnate

AI evolves daily. What was “state of the art” last month might already be obsolete. At Redpapr, we embrace this chaos. We experiment with the latest models, even if it costs us hours of integration and learning. Progress requires discomfort, and we’d rather break things in pursuit of innovation than sit comfortably behind.

If there’s a better model out there, we will find it, test it, and use it.

4. Never trust AI blindly

AI can sound confident and still be completely wrong. In education, that’s dangerous. At Redpapr, no AI-generated content is ever used raw. Everything goes through human fact-checking and editorial oversight.

A wrong answer isn’t just a bug — it’s a betrayal of student trust. Accuracy is non-negotiable.

5. Human in the loop, always

AI assists. Humans decide. We rely on our teachers, writers, editors, and moderators to shape the final output. AI can draft, summarize, and suggest, but humans refine, contextualize, and ensure relevance.

The quality of prompts, the care in editing, and the wisdom of moderation are just as important as the model itself. Without human judgment, AI is noise.

6. Privacy and responsibility above all

Student data is sacred. Sensitive information never goes into external APIs casually. We default to local processing, we strip out identifiers, and we design our systems with privacy-first principles.

Convenience never comes before responsibility.

7. AI should serve learners, not overwhelm them

It’s easy to flood users with AI-generated text, summaries, and insights. But volume is not value. Our role is to filter, refine, and present only what’s meaningful.

AI should clarify, not confuse. It should support learning, not distract from it.

8. AI is a co-pilot, not an autopilot

Education is deeply human. Empathy, context, mentorship, and trust cannot be outsourced to machines. AI is here to assist — to accelerate human effort, not to replace it.

We stand against “fully automated education.” Redpapr is built on the belief that the best learning happens when AI and humans collaborate.

Our Commitment

At Redpapr, AI is not a gimmick. It’s not a crutch. It’s a powerful ally that we wield with care, creativity, and responsibility.

We will keep experimenting with every new breakthrough — whether it’s a multimodal giant, a specialized reasoning engine, or a scrappy local LLM. We will keep humans in the loop. We will keep fact-checking. And we will keep privacy and responsibility at the core of everything we build.

AI is moving fast, but education moves deeper. Our mission is to make sure the two evolve together — responsibly, ambitiously, and always in service of the learner.