Lune Synth™

The anti-slop learning app

Lune Synth app icon

Do the work. Scan it in. Get feedback that actually helps. From the Pre-K through the PhD level.

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A quick look at Lune Synth in action.

Lost in the Cosmos

Learning is broken.

Scattered focus, flashy apps, and AI that thinks for you.

1. Scattered focus 2. Flash over function 3. AI slop that cheats

Lune Synth fixes all three.

Think Duolingo but for any subject

Scroll down to see how

You can’t copy-paste learning.

Solve it yourself, then get feedback.

This is your brain

Every attempt is practice your brain can use.

A visual metaphor for active learning

Nerd stuff

Retrieval practice and lasting memory

Retrieving information from memory can improve later retention. In two experiments using prose passages, students who practised recall retained more on tests two days and one week later than students who repeatedly studied the material. Repeated study performed better on the immediate test, illustrating why short-term familiarity and durable learning should be distinguished. Roediger & Karpicke (2006), Psychological Science.

This distinction matters when an answer feels obvious on the page. Recognising a solution and producing one independently are different demands. Attempting the reasoning before consulting an answer creates an opportunity to practise retrieval; copying the result omits that opportunity. The experiment above examined recall of text, rather than chatbot use or Lune Synth.

Activity-dependent myelination

Myelin is fatty insulation around axons, the fibres that carry signals from neurons (NIGMS: myelinated axons). Its formation is one component of neural plasticity. In mice, optogenetic stimulation of premotor circuits increased oligodendrocyte production and myelin sheath thickness, with associated improvements in motor function. Motor-learning experiments in mice also show the addition of new myelin sheaths (Bacmeister et al. (2022), Nature Neuroscience). Oligodendrocytes are the cells that form myelin in the central nervous system. Gibson et al. (2014), Science.

In a separate mouse study, preventing the generation of new oligodendrocytes impaired acquisition of a complex running-wheel skill while sparing performance of a previously learned skill. This provides evidence for a contribution of new myelin-forming cells to acquiring that motor skill, rather than simply to executing a familiar movement. McKenzie et al. (2014), Science.

What productive friction means here

In this section, “friction” means the effort of attempting a problem, explaining a step, noticing a mistake, and revising your reasoning. It is a description of the practice process, not a biological measure. Difficulty or discomfort alone does not establish that learning is occurring. The studies above do not show that handwriting specifically, or each uncomfortable step, directly creates another layer of myelin.

How this connects to Lune Synth

Lune Synth gives learners a way to attempt problems, inspect feedback, and practise again. Attempting an answer from memory creates an opportunity for retrieval practice; reviewing feedback helps you decide what to work on next. That is the design rationale for the learning loop. The cited studies did not test Lune Synth or establish that using it changes myelination or produces a particular improvement in exam performance.

Working by hand is one way to make each reasoning step explicit. The relevant distinction is doing your own thinking: typing or speaking your reasoning can also be active practice. The comparison concerns submitting copied answers in place of practising, rather than every possible use of an AI tool.

How to read the animation

The animation combines learning and myelin research as a conceptual illustration. Its signal speeds, route shapes, sheath thicknesses, and slider positions are not biological measurements. The slider represents increasing practice, not a calibrated number of hours, and the automatic loop compresses an illustrative progression into seconds. Its reset does not represent a loss of learning or myelin.

A jagged route represents uncertainty in recall, not a damaged axon. A straight route does not mean myelin alone determines answer accuracy. Reading a chatbot response also involves neural activity; the upper circuit is not a claim that a reader’s brain stops firing. The central message is practical: use the opportunity to attempt, get feedback, and practise again.

Your Work, Made Clear

Your handwriting, understood.

Scan your work to find the mistake and fix the next step.

You have to actually use your brain

Write First

Your reasoning, on paper

See Every Step

The mistake and the next move

Keep Momentum

Practice that keeps you moving

Build Your Constellation

Overview

Your Materials, Your Skill Map

Bring YouTube links, lecture PDFs, or homework. Build a skill map in one of 80+ Worlds.

Select World

Take One Quick Mission

Fast study mode

One skill in a few minutes.

Fix one weak spot in 2–6 minutes.

2–6 minutes One skill at a time Immediate next step

Problem Solver

Homework help that builds understanding.

Bring a problem; work through it step by step.

Problem Solver input screen for adding a question or assignment
01

Bring it in

Type, photograph, or attach your work.

Don't want to handwrite?

Luna

Luna waves hello

A tutor that won't do it for you.

Your work, one nudge at a time.

Get one hint, then finish the step.

One nudge at a time No copyable solution Built for your question

A diagram built for your exact problem.

Diagrams from the question Visual next-step guidance Still no final answer

The right term, right when you need it.

Definitions in context Subject vocabulary Quick, no distraction

Ask a question and keep doing the thinking.

Socratic guidance Grounded in your attempt Refuses direct answers

How grading works

01 Capture

Scan the work

Scan Work

One photo, every step.

02 Process

Turn work into steps

Grading Work
Grading Work 76%
Reading handwriting Turning work into clear steps
Step 1 recognized
Checking algebra
Scoring reasoning

Your page becomes checkable reasoning.

03 Feedback

Know what to fix

Spot the mistake and practice the fix.

Earn 100+ Cosmic Medals

Two Weeks

Keep showing up.

Unlock Milestone Practice on 10 consecutive days

Focus with Tock

Focus timer

Silence the distractions. Go deep.

Drag the hands

Set a timer

Pick how long to focus. Distracting apps stay blocked until time is up.*

*App blocking coming soon.

The Lune Synth focus timer: Tock above a session-length picker and a Start focus button

Engine

Built to fight slop.

Grounded in rubrics. Checked for consistency.

96.3%
Historical Feedback Soundness 233/242 responses without material errors
95.8%
Historical Question Quality 115/120 questions without material defects
Historical feedback and question-quality benchmarks, not current-model or score-accuracy claims
Statistical Audit Technical Diligence, Statistical Methodology & Benchmark Suite (Wilson 95% CI)
TL;DR Executive Summary & Key Findings

Observed Soundness: 96.3% of multimodal grading evaluations (233/242 live trials across 74 distinct prompts; 95% Wilson CI: [93.1%, 98.0%]) avoided materially incorrect guidance, spanning Pre-K through graduate work in mathematics, natural science, social science, language arts, foreign language, computer science, philosophy, law, and translation studies. Curriculum question quality holds at 95.8% (115/120 items; 95% Wilson CI: [90.6%, 98.2%]) across 12 graduate generation contexts.
Conservative Prompt-Cluster View: At the distinct-prompt level, 91.9% of prompts (68/74) were sound across every input mode tested (95% Wilson CI: [83.4%, 96.2%]).
Honest Distribution: Across 242 grading trials, 90.1% (218/242) were completely clean, 6.2% (15/242) had minor non-material phrasing nuances, and 3.7% (9/242) had flagged conceptual errors, all transparently audited below.
Adjudication Caveat: Every soundness figure reflects single-reviewer, non-blind adjudication (the two evaluation halves judged by different reviewers), not double-scored consensus. These measure the soundness of the guidance, not the displayed numeric score.
Anti-Slop Mechanism: Lune Synth eliminates unanchored scores via explicit confidence gates (τ = 0.85), deterministic rubric penalty catalogs, step deduction conflict checks, and 1-tap student verification to inspect and challenge every step.
Pipeline Execution: 100% transport and execution success across all 266 evaluated API and grading calls.

01 · Empirical Benchmark Summary (Side-by-Side Audit)

Evaluation Dimension Sample Size (N) Clean (Zero Defect) Minor Nuance / Imprecision Material Failure 95% Wilson Confidence Interval
Multimodal Feedback Soundness 242 live responses (74 prompts, Pre-K–grad) 90.1% (218 / 242) 6.2% (15 / 242) 3.7% (9 / 242) [93.1%, 98.0%] (Overall Soundness: 96.3%)
Prompt-Cluster Safety 74 distinct prompts (Pre-K–grad) 91.9% (68 / 74 sound) N/A 8.1% (6 / 74) [83.4%, 96.2%]
Curriculum Item Quality (graduate-only) 120 items (60 free, 60 choice) 91.7% (110 / 120) 4.2% (5 / 120) 4.2% (5 / 120) [90.6%, 98.2%] (Defect-Free: 95.8%)
Complete 5-Item Set Soundness (graduate-only) 24 full practice sets 79.2% (19 / 24 pristine) N/A 20.8% (5 / 24) [59.5%, 90.8%]
Pipeline Runtime Reliability 266 evaluation API calls 100.0% (266 / 266) 0.0% drops 0.0% fatal exceptions [98.6%, 100.0%]

02 · Modality Stratification & High-Friction Stress Testing

Typed Digital Inputs (3 / 81 Material · 96.3% sound; 95% CI [89.7%, 98.7%]): Tested across dense mathematical proofs, symbolic equations, code blocks, and multi-paragraph essays, from Pre-K arithmetic through graduate coursework.
Voice Audio Transcripts (2 / 81 Material · 97.5% sound; 95% CI [91.4%, 99.3%]): Evaluated on conversational derivations, spoken step-by-step problem-solving, and spoken answers with natural pauses, revisions, and colloquial phrasing.
Handwriting & Scans (4 / 80 Material · 95.0% sound; 95% CI [87.8%, 98.0%]): No modality effect is established: the Pre-K–high-school run recorded 0 material failures across 39 handwriting responses, and the combined handwriting interval overlaps both other modes. Caveat: 14 of those 39 trials ran as OCR-simulated text, fixtures quarantined by a 0.85 transcription-fidelity gate, including all five Pre-K cases, while 25 were genuine scanned images.
Distinct Prompt-Cluster Safety Rate (91.9%): 68 of 74 distinct prompt contexts avoided any material evaluation error across all student submissions in the cluster (95% Wilson CI: 83.4%–96.2%).

03 · Compound Set Quality & Defect Independence Model

Compounding Set Mathematics: A question-level defect-free rate of p = 0.9583 (115/120) compounds across an independent 5-item mission set as:
P(Clean 5-Item Set) = p⁵ = (0.9583)⁵ ≈ 80.59%
This is consistent with the empirical benchmark result of 79.17% (19/24 full sets; 95% Wilson CI: [59.5%, 90.8%]), though with only 24 sets that interval spans a wide range of dependence structures and does not by itself establish independence. The observed 19/24 is the primary figure; the p⁵ value is a secondary projection.

04 · Evaluated Domains, Generation Contexts & Grading Coverage

Question-Generation Contexts (12 graduate disciplines): The question-generation suite was benchmarked across 12 graduate-level academic and professional disciplines:
Complex Analysis Immunology & Virology Administrative Law Compiler Optimization Psychometrics (IRT) Narratology & Literary Theory Algebraic Topology Quantum Information Causal Inference DSGE Macroeconomics Historical Linguistics Applied Cryptography
Grading Coverage (Pre-K through graduate): The 74 graded prompts spanned a broader set, mathematics, natural science, social science, language arts, foreign language, computer science, philosophy, law, literary analysis, translation studies, and qualitative methods, not limited to the 12 generation disciplines above.

05 · Anti-Slop Architecture & Deterministic Thresholds

Explicit Confidence Gates (τ = 0.85 Cutoff): When optical character recognition or symbolic semantic parsing falls below strict certainty thresholds (τ < 0.85), confidence is immediately lowered and provisional review flags are surfaced.
Rubric Evidence Grounding: Evaluations match against deterministic rubric criteria and explicit penalty catalogs rather than unconstrained holistic text generation, eliminating score drift.
Step-Level Conflict Checking: Deduction arithmetic is programmatically reconciled against rubric point weights prior to finalizing step guidance, ensuring feedback and scores remain mathematically consistent.
1-Tap Student Agency & Verification Chain: Students can inspect the full chain of evidence, contest ambiguous step deductions, challenge false negative classifications, and focus on the immediate corrective step.

06 · Defect Taxonomy & Full Failure Audit

Logged Failure Breakdown & Root Cause Analysis: All 9 material grading errors (6 in the graduate tranche across 3 distinct prompts, plus 3 in the Pre-K–high-school run) and 5 question-generation defects were formally logged and cataloged:
  • Grading failures, graduate tranche (6 responses across 3 distinct prompts): Four responses came from a single graduate astrophysics prompt on stellar fusion, where feedback endorsed thermal kinetic energy as classically overcoming the Coulomb barrier and treated quantum tunneling as optional detail; the same misconception recurred across typed, voice, and handwriting renderings of that one prompt. One response, on a philosophy-of-science scan, missed a polished but false conclusion that sufficient evidence yields a logically unique theory. One response, on a translation-studies scan, praised an incorrect tense/aspect analysis of the French imperfective retrouvais.
  • Grading failures, Pre-K–high-school run (3 responses): Three material failures were logged in the 2026-08-19 evaluation and retained in the permanent corpus; per-case root-cause detail is tracked internally rather than on this page.
  • Generation Defects (5 total): Contradictory Item Response Theory distractor rationale; non-unique option in Narratology; false-premise prompt in non-Hausdorff topology; underidentified fiscal shock equation in DSGE macroeconomics; and 1 ambiguous prompt boundary in Administrative Law.

Simple, Honest Pricing

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Free

Lune Synth

$0 forever

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Free during the beta
  • Step-by-step feedback on your work
  • Quick Missions, Constellations & medals
  • Luna hints
  • 5,000 AI actions / day
  • 10 handwritten pages / set
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Pro · Monthly

Lune Synth Pro

$12.99 / month

Billed monthly. Cancel anytime.

  • Everything in Free
  • 10,000 AI actions / day
  • Up to 50 handwritten pages / set
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Pricing details & offer terms

Pro is coming soon and isn’t available to buy yet. These are our approved launch prices in USD; any applicable tax is shown before checkout. The free trial is one per account. The exact price, renewal terms and how to cancel are always shown in the app before you’re charged. Founding 40 and First Light offers apply as described in our Terms of Service.

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