One AI can slip an error into your worksheet. Three side by side cannot hide it.
Deepest sends your prompt to several top AI models at once and shows you exactly where they disagree. A mistake in a lesson gets taught to thirty students and proofread by none; when three models answer independently, the mistake shows up as disagreement before it reaches the copier.
200 free credits. No credit card required.
Watch three models plan the same lesson
One question about the seasons, three top models, three different teaching sequences. They agree on the physics and split on the pedagogy, and both halves are useful.
Simulated demo for illustration. Actual responses are more detailed and personalized.
Why one AI is not enough in a classroom
A single chatbot answers with the confidence of a textbook and none of the editing. Teachers multiply everything they make by thirty.
Your errors get multiplied by thirty
A factual slip in a worksheet does not stay a slip. It gets photocopied, taught, practiced for homework, and learned. No editor stands between a chatbot's answer and your class except you, at 9pm, on planning night. When several models answer the same question, an invented date, a garbled definition, or a subtly wrong explanation stands out because the others do not repeat it.
One explanation fits one kind of student
A single model explains a concept one way, in one register, at one level. Your classroom has a student two grades behind and a student two grades ahead sitting in the same row. Different models genuinely explain differently: one reaches for analogies, one builds step by step, one starts from a concrete example. That is not redundancy, it is a differentiation engine.
You do not have time to be the review layer
AI saves teachers hours on planning, then quietly takes some back in double-checking, because a fluent wrong answer looks exactly like a fluent right one. Deepest makes the check part of the answer: where the models agree you move on, and where they disagree you have a short, specific list of what to verify before it goes home in a backpack.
How teachers use Deepest
Three ways to combine the models, mapped to how teaching materials actually get made and checked.
Compare · where the models agree and disagree
Compare: the fact-check panel
Ask once and every model answers side by side, with an automatic breakdown of where they agree and where they split. Use it on content questions, worked examples, and anything a student might quote back at you. Agreement across models is not proof, but disagreement is a precise map of what to verify before a worksheet hits the copier, which is a much shorter job than proofreading everything.
GPT-5.6
Claude
States the distance myth as a factor
Gemini
Compare
Two of three agree. The outlier is the error that almost reached a worksheet.
Synthesis · one combined best answer
Synthesis: one lesson plan from the strongest parts
For planning, you rarely want three lesson plans; you want the best one. Synthesis has the models plan independently, then combines the strongest hook, the cleanest sequence, and the best activity into a single plan. The same goes for rubrics and unit outlines: the draft you get is already cross-pollinated instead of reflecting one model's habits.
GPT-5.6
Claude
Gemini
Synthesis
One plan, assembled from the strongest hook, activity, and exit ticket.
Debate · models argue and converge
Debate: pressure-test the lesson before the kids do
Debate makes the models argue against each other and converge over rounds. Put a sequencing decision in (concept before procedure? this unit before that one?) and watch which approach survives the objections. The pushback that emerges is a preview of where your students will actually get stuck, and the plan left standing is the one worth teaching.
GPT-5.6 · opening
Claude · rebuttal
GPT-5.6 · concedes
Claude · holds
Debate
Positions converge after two rounds. The surviving sequence is the one to teach.
What planning looks like with a model panel
Four places teachers put Deepest to work on day one. Each prompt is copyable as written.
Lesson plans and activities
Get a full plan with the facts cross-checked before you build anything on them. Each model contributes a different hook or activity, and the disagreement report flags the claims to verify.
Try this prompt
Plan a 50-minute lesson introducing photosynthesis to 7th graders: a hook, direct instruction under 10 minutes, a hands-on activity using cheap materials, and an exit ticket. Flag anything commonly taught incorrectly at this level.
Differentiated explanations
The same concept explained three genuinely different ways, because different models explain differently. One analogy-first, one step-by-step, one from a concrete example: pick per student instead of per class.
Try this prompt
Explain adding fractions with unlike denominators three ways: for a student at grade level, for a student two years behind who is shaky on equivalent fractions, and for a student ready for a challenge. Genuinely different approaches, not the same words simplified.
Rubrics and assessment questions
Rubrics with levels that actually differ, and multiple-choice distractors built from real student mistakes instead of obvious throwaways. Compare mode catches the answer-key errors before your students do.
Try this prompt
Write a 4-level rubric for an 8th grade persuasive essay (claim, evidence, organization, conventions), then 5 multiple-choice questions on identifying claims versus evidence. Each wrong answer should be a mistake a real student would make.
Parent communication and feedback
Notes home, conference talking points, and report card comments that are warm, specific, and free of edu-jargon. Synthesis merges the models' drafts into one that sounds like you on a good day.
Try this prompt
Draft a short note to a parent about a student who is clearly capable but has stopped turning in work. Warm, specific, no blame, ending with one concrete next step and an invitation to talk: [paste anonymized context]
Start with 200 free credits and up to 2 models per prompt.
Student privacy
Nothing here needs a student's name
Conversations are encrypted in transit and at rest, are never used to train models, and you can export or permanently delete everything at any time. Prompts go to model providers through enterprise APIs, not consumer chatbots. Follow your district's AI policy and FERPA: keep student names, grades, and records out of prompts. Anonymized descriptions ("a 6th grader who is strong verbally but avoids writing") work exactly as well.
Questions teachers ask
Work in a different field? Deepest works the same way for researchers, writers, recruiters, and every other profession.
Give every worksheet a second reader
Start free with 200 credits. No credit card required.