Public AI tool vs. institutional platform: what's the difference?
A curious teacher can open a public AI tool and start using it within minutes, with no approval process and no setup. That's part of why the question comes up so often: why invest in an institutional platform if a free tool already exists?
What a public tool offers
Public-facing AI tools are great for individual exploration, personal writing, or one-off, low-stakes tasks. Their accessibility and flexibility make them a reasonable starting point for getting familiar with generative AI, with no institutional commitment attached.
What they aren't built for
These tools generally weren't designed for an institutional context. Their terms of use often allow submitted content to be retained or reused, which becomes a real problem the moment student work or personal information gets entered. There's also no role structure (teacher, student, administrator), no traceability of grading decisions, and no institutional control over individual usage.
A teacher who uses a public tool to grade submissions, for example, is often acting entirely outside any formal institutional framework, which can create real ambiguity about accountability if something goes wrong.
What an institutional platform adds
A platform built for education, like Nabunam, structures AI use around an institution's actual needs: course management, supervised grading, results tracking, and — critically — a privacy framework designed for school data rather than general-purpose use. Access is organized by role, letting an administrator maintain oversight without monitoring every individual interaction.
The hosting and governance question
For a school leader or an IT team, the question isn't just about features. Where is the data hosted? Who can access it? What's in place if something goes wrong? These questions, often absent from public tools' terms of service, sit at the core of how an institutional platform gets designed.
Two tools, two uses
It doesn't have to be one or the other. Many teachers keep using public tools for their own personal exploration, while relying on an institutional platform for everything tied to their actual professional practice — exam creation, grading, tracking student progress. The real distinction is knowing which tool fits which use, and not confusing personal convenience with the right institutional framework.
A simple test for deciding
One useful question to ask before each use: does this task involve information about a specific student, or work that belongs to them? If so, an institutional tool is called for. If the task stays general — rephrasing an idea, looking for inspiration for an activity — a personal tool may be enough.
One last point of comparison
A free public tool's cost is never actually zero — it just shows up differently, often through data exposure or a lack of recourse if something goes wrong. Comparing options solely on sticker price ignores that reality, which matters particularly at institutional scale.
This reflection becomes particularly important at contract or licence renewal time. An institution benefits from periodically revalidating that its chosen tool still matches its real needs, rather than simply renewing an initial choice without reassessment.
Framing the decision this way — matching the tool to the task, not the task to whatever tool happens to be free — tends to produce more durable choices than decisions made primarily on convenience or cost alone.