Documentation
The documentation behind bringing AI into the classroom with judgment.
This page summarizes the operational material available as of 13 April 2026 for Lira AI pilots. The full documentation and its institutional versions are shared on request during the validation process.
Pilot baseline document
Defines scope, participants, authorizations, suspension and the conditions for working with students.
Classroom use framework
Sets out how AI is integrated to guide processes without replacing thinking or teacher supervision.
Ethical guidelines
Covers human oversight, protection of minors, permitted use and institutional limits.
Evaluation methodology
Explains what is measured during the pilot and what evidence unlocks an institutional phase.
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Pilot baseline document
The operational documentation already describes a controlled, bounded, supervised and reversible pilot. The idea is not to open access indiscriminately, but to agree with each institution on what is tested, with whom, and within what limits.
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Classroom use framework
Lira is not positioned as an answer generator. The classroom approach starts from a simple premise: AI is worth having when it helps students think better and makes the process visible, not when it replaces the student's work.
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Ethical guidelines
The institutional documentation sets limits from the start. The pilot does not authorize automated decisions with significant impact, nor does it hand professional teaching judgment over to the tool.
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Evaluation methodology
The pilot is evaluated against observable evidence. The current methodology combines pedagogical and operational signals to answer whether Lira works in a real classroom and whether it can support a next phase.
Institutional access
Request the full documentation package
If your institution wants to review the pilot in detail, we can share the operational documentation, privacy terms, methodology and implementation scope.