01
Leadership visibility
See where learning evidence calls for attention.
Move from a final submission to a reviewable path that links the assignment boundary, the work, the follow-up and the action that followed.
The evidence and governance layer for trusted learning
Make learning, assessment and trust visible in the age of AI.
Reasonleaf brings student work, permitted AI-supported steps, teacher judgment and follow-up decisions into one reviewable learning cycle, so leaders can see more than the final answer.
A working product for a human decision.Reasonleaf is a working product. This experience uses demonstration data. Live pupil use requires a school-approved pilot scope and verified identity, safeguarding, data, security and operational controls.
One learning cycleFrom assignment boundary to leadership decision
- 01 Teacher-defined boundary
- 02 Visible student process
- 03 Understanding examined
- 04 Next action recorded
Built first for UAE private schoolsTeacher-led · school-shaped · evidence-based
02
The leadership question
When polished output reveals less, schools need a better view of learning.
Reasonleaf is designed to move the conversation from suspicion and isolated scores towards visible process, student explanation and professional judgment.
02
Teacher judgment
Protect the human decision at the centre.
Give educators a structured record for deciding whether to affirm, discuss, re-check or reteach. Reasonleaf does not automate a verdict about a pupil.
03
Student agency
Give students a fair way to show understanding.
Students can explain their reasoning, disclose permitted support and respond to a short follow-up within boundaries the teacher has made clear.
03
The product evidence spine
One continuous line from teacher intent to school action.
The product is organised around decisions, not surveillance. Each stage adds context that the next person can examine.
- 01Teacher
Define the boundary.
Set the task, the learning intent and the form of AI assistance permitted for this assignment.
- 02Student
Work transparently.
Develop the response, record sources and assistance, and explain the choices made inside the Reasonleaf workspace.
- 03Teacher and student
Examine understanding.
Use a short, teacher-reviewed follow-up when the evidence warrants a closer conversation.
- 04Teacher
Record the next action.
Affirm, discuss, re-check or reteach, with the professional reasoning attached to the record.
- 05Leadership
See patterns without losing context.
Review where attention is needed and return to the classroom evidence behind the pattern.
Reasonleaf records activity inside its own workflows and the outside assistance a student declares. It does not observe other apps or devices and does not prove independent authorship.
Real product · demonstration data
Three decisions become visible.
Reasonleaf connects teacher intent, student process, and the next teaching action in one reviewable flow.
These are current working screens with fictional records. Live pupil use begins only inside a school-approved pilot.
01Teacher intent
Define the AI boundary.
The teacher sets which kinds of help are available for the check, then can tighten or extend support question by question.
Whole-check rules and per-question control
02Student process
See permitted support as the work develops.
The student sees the help level their teacher allowed. The working screen records the exchange and keeps the answer out when the boundary is hints only.
Visible support level and reviewable dialogue
03Teacher action
Turn evidence into the next teaching decision.
The class view brings answers and follow-ups together so the teacher can identify a topic to revisit, a student conversation, or a focused re-check.
Class pattern, conversation cue, and re-check path
05
For school leaders
Quality assurance that begins in everyday teaching.
Published UAE priorities connect educational quality with assessment evidence, teaching response, student progress, rigorous self-evaluation and continuous improvement. Reasonleaf can help a school organise evidence for its own quality conversations.
Assessment with context
Place the final response beside the assignment boundary, recorded process, student explanation and follow-up evidence.
Teaching response made visible
Record the professional decision that followed, so a signal becomes an accountable next action.
Patterns for self-evaluation
Give leaders a structured starting point for examining consistency, support and improvement across the agreed scope.
Official context
Reasonleaf is an independent product. References to public education frameworks describe relevant school priorities and do not imply regulator endorsement, certification, compliance or a guaranteed inspection outcome.
06
UAE direction and responsible AI
Built for a direction that keeps people in control.
Across current UAE education initiatives, the direction is ambitious and human-led: build AI capability, preserve cognitive agency, strengthen teacher expertise and make assessment fair, accurate and useful.
United Arab Emirates
Human governance of AI
The national AI literacy framework emphasises ethical and safe use, transparency, privacy, critical engagement and human oversight.
Read the official sourceDubai
Learner-centred improvement
Education 33 places the learner at the centre and connects high-quality education with educator agency and responsible innovation.
Read the official sourceAbu Dhabi
Support thinking, do not replace it
ADEK describes safeguards for cognitive agency, academic integrity, privacy, human oversight and fair AI use, with teachers central to implementation.
Read the official sourceSharjah
Evidence for continuous improvement
SPEA describes consistent evaluation, clear strengths and development needs, and data-informed improvement through Itqan.
Read the official sourceLocal requirements differ by emirate, school and curriculum. A live pilot requires the school to confirm the applicable policy and approval route.
From discovery to a school decision
A bounded pilot with a commercial destination.
Start with the question school leadership needs answered. Agree the evidence before the pilot begins. Then review it together and make a clear decision.
One cohort. One or two subjects. Agreed participants and evidence.
- 01
Discover
Begin with school leadership.
Discuss one learning or assessment priority, the school’s current practice and the decision that better evidence should support.
Leadership priority
- 02
Shape
Agree a bounded pilot.
Define the cohort, one or two subjects, participating educators and the evidence the school will review.
School-shaped scope
- 03
Evaluate
Review evidence, not impressions.
Examine how student work developed, how permitted AI support was recorded and what teaching action followed.
Agreed evaluation evidence
- 04
Decide
Bring the evidence back to leadership.
Use the leadership review to make one explicit decision about Reasonleaf’s place in the school.
Commercial decision
The leadership review
Three honest outcomes. One explicit next step.
The pilot closes with a recorded decision. It does not drift into an indefinite trial.
Licence
Request a scoped commercial school licence offer.
If the agreed evidence supports adoption, Reasonleaf prepares an offer shaped around the school’s approved scope and requirements.
Extend once
Answer one defined question.
If one material question remains, extend only to answer that question and return to the leadership decision.
Stop
Close the pilot clearly.
If the evidence does not justify adoption, stop with a documented conclusion and no open-ended experiment.
08
Founder-led from the first conversation
A human conversation before a school commitment.
Ambika Yadav will work with school leadership to understand the current practice, define the decision question and decide whether a bounded pilot is worth shaping.
Your meeting host
Ambika Yadav
Educator and Founder of Reasonleaf
A 20-minute leadership conversation to define the decision question, the smallest credible scope and the evidence required for a commercial next step.
School discovery callOne assignment.
One assignment.
An honest conversation.
20 minutesOnline
How your teachers review work
Talk through a recent assignment and the tools they use today.
Where AI makes that harder
Discuss missing evidence, unclear rules or extra review time.
Whether Reasonleaf could help
Agree if there is a specific problem worth exploring together.
Opens Google Calendar in a new tab.
Choose an available time in your timezone.
Before we talk
Clear answers to the first leadership questions.
Is Reasonleaf an AI detector?
No. Reasonleaf does not detect external AI use or prove authorship. It records activity inside its workflows and supports a teacher-led follow-up when more evidence would be useful.
Can a school use Reasonleaf with pupils today?
Current public experiences use demonstration data. Live pupil use remains blocked until the school and Reasonleaf approve the pilot scope, identity, safeguarding, data, security and operational controls.
Does Reasonleaf integrate with our existing systems?
No production school integration is active today. Discovery identifies the minimum identity and learning-system integration required before a live pilot.
Is Reasonleaf approved by an education authority?
No regulator endorsement, certification or compliance claim is made. Public frameworks are referenced only to explain relevant school priorities.
What happens after a pilot?
The leadership team may request a scoped commercial licence offer, extend the pilot for one defined unanswered question, or stop. The decision and its evidence are recorded explicitly.