EnlightenAI is a grading and feedback tool that teachers train on their own rubrics and priorities and calibrate through multiple reviews so students receive more writing feedback, more efficiently. Teachers assign the writing task and students get immediate AI feedback on that task as they revise.
Students write independently in the EnlightenAI platform and submit for multiple rounds of AI feedback. They revise their writing based on feedback aligned to the teacher's rubric. Students can compare their score progression across submissions.
Once the teacher has calibrated the feedback using a rubric, prompt, and reference materials, the AI provides immediate, rubric-aligned scores and categorized feedback to students on their writing. It helps standardize scoring and offers specific rubric-aligned suggestions. It also surfaces class- and school-level trends across submissions—common growth areas, patterns across classrooms—that teachers and leaders can act on.
Teachers upload a rubric, prompt, and reference materials and, over a few submissions, calibrate the AI on their voice, grading style, and standards. From there, they can configure the AI to give students immediate feedback or hold it for teacher review first. As students work, teachers can monitor a live dashboard to spot which students need support and where common errors appear, then generate mini-lessons on widespread issues and structure discussions around the feedback.
School or system leaders can calibrate the AI to a shared curriculum or set of expectations if they’ve deployed it across classrooms for consistent instructional quality. From there, they can use school- and system-level trend data to identify where to focus coaching and professional learning.
500,000+
Students
(Cumulative, all-time.)
14,000+
Teachers
(Cumulative, all-time.)
2,000+
Schools
36
School systems
Two assignments per week—one where students get AI feedback immediately to revise in the moment, and one where the teacher reviews and adjusts the AI's feedback before students see it; ~30 minutes per assignment.
TBD—pending data.
Subject
All subjects with rubric-based writing (ELA/literacy, social studies/history, science)
Grade span
3–12, higher education
Curriculum alignment
Standards-only: Teachers/leaders calibrate the AI on their own rubric, prompt, and curriculum content
Design scope
Specific instructional job
The way AI interacts with students
Teacher guidance
Nudges specific teacher actions (e.g., dashboard prompts during use)
Social vs. solo use
Solo by default—primarily independent, small groups possible
Teacher override
Teacher can override the AI scoring
Product adoption
Both—teacher-adopted and school system-adopted
Dashboard scope
Teacher dashboard available
Dosage recommendations
Provides dosage recommendations
There are clear trends in what users (i.e., teachers, students, instructional leaders) see as the wins and limitations of each product. For each trend below, we've included one illustrative quote from our user interviews.
EnlightenAI gives feedback to all students during writing time, enabling teachers to focus their attention on students who need more support.
"For me to get to 10 kids within 30 minutes and give them real feedback that's targeted to exactly what they would be doing, I would only probably be able to hit on some kids, but we felt like this program…would help support them getting feedback instead of just sitting and waiting for us."
— Teacher, 4th Grade ELA
The live dashboard turns individual feedback into class-wide teaching points—teachers use trends to surface mini-lessons.
"Enlighten does a really great job of giving me a general idea—in the moment—of what everyone, the majority of the kids, need to work on. Based on what the dashboard is showing me, I'll show call something to show them because the dashboard also gives group trends, which is really great. It highlights teachable moments."
— Teacher, 4th Grade ELA
Multiple submissions and visible score progression motivate revision—teachers describe students re-engaging with their writing because they can see growth in real time.
"Enlighten does a really great job of also being able to submit more than once so then getting feedback more than once and they can actually go back and see their old submissions.…They can see the progression after adding a little bit more each time...they're like, 'Oh my gosh, I grew five points. Oh my gosh, I grew, like, 10 points.' I think seeing that instant gratification for them motivates them."
— Teacher, 4th Grade ELA
Feedback vocabulary is often too advanced for below grade-level and multilingual students—it works best for already-strong readers; teachers report translating or rephrasing the feedback for others.
"Based on the language or vocabulary in the feedback, some of the kids aren't able to read or understand the things that it's saying….The vocabulary words, if it were a bit more student-friendly or match[ed] individual students' reading levels, they would be able to internalize the feedback."
—Teacher, 4th Grade ELA
Active teacher monitoring shapes how well it works.
"I'm always circulating….I'll pause them during intervals and then I will circulate and go to the kids who I know need more support and ask if they understand the feedback...I'll break it down. I'll also go back to the feedback and make adjustments because I know what they can do, and I know what they're producing, and I know what they mean, and sometimes Enlighten doesn't account for the nuances."
— Teacher, 4th Grade ELA
Source-text keyword copying can register as strong responses—students copying source-text keywords can score high without producing real responses; the tool does not reliably catch this pattern.
"When kids just cop[ied] and pasted from the text, Enlighten was giving them a lot of points for it because they were using the words that were in the text… but technically it wasn't in their own words."
— Teacher, 4th Grade ELA
There is no independent, causal evidence of impact on student learning yet.
EnlightenAI is a 2025 grantee of Accelerate's Call for Effective Technology program (DC, NJ); under that program, an independent research partner assigned by Accelerate conducts the evaluation. Findings are expected to be public following the 2025–26 implementation year. This is a quasi-experimental control, examining whether use of Enlighten supports student writing growth in AP U.S. History classrooms.
Sources: Accelerate Partners Hub (CET grantee listing) · Founder Convo (study specifics) · AI in Action Evidence Scan (May 2026)
The following was written by the team at EnlightenAI and has been edited for clarity and tone by Instruction Partners.
We've added a differentiation feature so teachers can, by student, enable adjusted reading levels for feedback, text-to-speech, and translation. You can find an overview of our differentiation features here.
We’ve also implemented the following additional updates:
Product website: https://enlightenme.ai/
Instruction Partners' CEO Emily Freitag spoke with Gautam Thapar from Enlighten AI to understand what problems they're trying to solve, how Enlighten AI works in classrooms, and what they're still figuring out.