Newton Learning
I'm a special educator. I've spent years watching our field get handed tools designed for general ed classrooms that technically support IEP documentation but clearly weren't built by anyone who's ever run an ABA session, written a decodable passage for a Tier 3 reader, or tracked fluency WPM across a caseload of 15 kids with wildly different goals.
So I built Newton Learning.
It centralizes the actual SpEd workflow: tiered intervention plans, ABA trial data, fluency tracking, IEP goal generation, decodable passage creation, and weekly parent summaries - all in one place, with AI that understands the vocabulary of special education, not just general instruction.
We're early. 11 teachers are using it right now. The feedback I keep hearing is some version of: "I didn't realize how much time I was losing switching between tools until I stopped doing it."
The AI piece is what surprised people most. It's not a generic content generator - it knows what a Tier 2 intervention looks like, what prompt levels mean in ABA, what phonics patterns a decodable passage should target. That specificity is the whole point.
I'm not here to pitch. I'm here because I genuinely want to know: what's the one workflow in your SpEd day that still feels completely unsolved by any tool you've tried?
Here's what my workflow looked like before I built something better:
- Google Sheets for ABA trial data
- A separate doc for intervention plans
- Another tool for fluency tracking
- A generic AI chatbot for IEP goal drafts (that I had to heavily rewrite every time)
- Email threads for parent communication
- My own brain to hold it all together
None of these tools talked to each other. Every Monday I was reconstructing context that should have lived in one place.
The deeper problem: none of them were built for SpEd. They were built for classrooms in general, and SpEd teachers were expected to adapt. ABA prompt levels, Tier 1/2/3 distinctions, decodable text aligned to specific phonics patterns, fluency benchmarks by grade - that's not niche knowledge. That's the core of what we do.
I built Newton Learning to collapse all of that into one dashboard. The AI inside it was trained on SpEd-specific content - it knows what a Tier 3 intervention looks like, what prompt fading means, what phonics scope and sequence a decodable passage should follow.
Curious how many tools other SpEd teachers are juggling right now. What's in your stack?
Generic AI prompt: "Write an IEP goal for a second grader with reading difficulties."
What I got: a vague, legally soft, unmeasurable goal that no IEP team would accept without significant revision.
Same request in Newton Learning's AI tools: it asked for the student's current fluency WPM, their phonics tier, whether this was a Tier 2 or Tier 3 intervention, and what the baseline assessment showed.
Then it wrote a goal with a measurable baseline, a specific target, a timeframe, and language consistent with how IEP teams and compliance reviewers actually read these documents.
That's the difference between AI trained on general content and AI designed for a specific professional context.
Newton also generates decodable passages aligned to a student's exact phonics pattern, ABA session summaries with prompt level breakdowns, and weekly parent reports that pull from live fluency data - not templates you fill in manually.
It's not a chatbot you prompt from scratch every time. It's a workflow built around how SpEd teachers actually operate.
Anyone else been frustrated by how much you have to hand-hold general AI tools to get SpEd-appropriate output?