Accepting pilot applications — Spring 2026

The feedback loop higher education never had.

Page calls every student that evening to find out whether today's lecture landed. And calls every researcher twice a week to challenge their thinking. By morning, lecturers and PIs see exactly what's working — and what isn't.

94%

Student answer rate

<9am

Data in your inbox

12 min

Per student call

0

Apps for students to install

The problem

Right now, you're teaching into the dark.

01

Your lecture ends. You have no idea what stuck.

There's no feedback mechanism between the lecture theatre and the exam hall. You find out what didn't work when you mark the scripts — weeks or months too late to do anything about it.

02

Confused students don't raise their hands.

The students most likely to fall behind are the least likely to attend office hours. They disengage quietly, and the gap compounds week by week.

03

Misconceptions compound silently.

A concept misunderstood in week 2 undermines everything that builds on it. By the time it surfaces in coursework, the damage is done.

Page Uni — taught modules

Three touchpoints. One closed loop.

1

Before your lecture

Set your teaching intent

A four-minute call. Tell Page what you're teaching, the analogy you'll use, and the misconception you anticipate. That becomes your benchmark.

2

That evening

Page calls every student

A 12-minute AI voice call — Socratic method, using your exact framing. No app, no login. Just a phone call to the number they registered with.

3

Next morning, before 9am

Comprehension report in your inbox

Cohort score vs your success condition. The misconceptions that surfaced. The students who need follow-up. All before your day starts.

What you get

Not just a score.
A diagnosis.

Page doesn't tell you what score your cohort got — it tells you why they got it, mapped against the specific framing you used. You'll know whether your analogy worked, which students are slipping, and exactly what to address next week.

  • Cohort comprehension score vs. your stated success condition
  • Misconceptions ranked by prevalence, verbatim from students
  • Individual student flags — who needs a follow-up
  • Trend lines across the module as the term progresses

// Post-lecture report · Wed 12 Mar · 08:47

Introduction to Macroeconomics — Week 6

Answer rate94/103  91%
Avg comprehension██████████ 71/100
Success condition✓ met by 61%

top misconception

"Students conflated money supply with liquidity. 34% couldn't distinguish the two despite the revolving door analogy."

at-risk · 4 students flagged

→ J. Thompson: stuck on velocity of money

→ S. Mitchell: extended analogy incorrectly

+ 2 more

// Research session · Tue 11 Mar · 19:42

Priya S. · Materials Science · Year 2

current hypothesis"Crack propagation is temperature-dependent"
assumption challenged"What's the strongest argument that it isn't?"
Thinking score███████░░░ 78/100
Session outcome⚠ Core assumption weakened

thread to pull

"Causal variable may have been controlled out of experiment. Isolate and retest."

PI note

First meaningful hypothesis shift in 8 weeks

Page Research — for research groups

A thinking partner
for every researcher
in your group.

PhD students experience intellectual isolation, lack of structured thinking time, and supervision that rarely gets beneath the surface. Page calls every researcher twice a week — not to check on progress, but to challenge their assumptions, introduce cross-disciplinary angles, and push them toward original synthesis.

  • Different call structure — assumption challenge, not Feynman technique
  • Scores intellectual rigour and thinking progression, not accuracy
  • PI dashboard shows hypothesis evolution across the whole group
  • Positioned as a welfare tool — structured contact reduces PhD burnout
  • Fundable via UKRI, Wellcome Trust, and other doctoral training grants

For students

No app. No login. Just a phone call.

Page calls each student at the number they registered with — a 12-minute revision conversation every evening. Zero friction for students, zero admin for lecturers.

Find your module →

Limited availability

We're running three pilot cohorts this term.

We instrument your entire department — modules, students, lectures — and deliver teaching intelligence your institution has never seen. No IT integration. No student onboarding overhead. Results in week one.

Apply for a pilot cohort

michael.eneh@ai4e1.net · We respond within 24 hours