Students
Challengethatmeetsyou
Practiceproblemscalibratedtoyourability—hardenoughtogrow,notsohardyoudisengage.
Whoit'sfor
Builtforlearnerswhothinkdeeply
Educators
Groundedinyourmaterials
Uploadcoursecontentandgetatutorthatteachesfromyoursources,nottheopeninternet.
Researchers
Interpretablebydesign
Markdown-firstarchitecturewheredifficultystate,signals,andprotocolsarereadable—notburiedinweights.
Thegap
Beyondrightandwrong.
LimitedresearchexploresusingexplicitlearnerdifficultyfeedbackandimplicitSocraticinteractionsignalstooptimizeadaptiveLLM-generatedpracticeproblems.Aporeisbuilttoclosethatgap.
Status quo
Correctness-only
- Binary right/wrong scoring
- Static difficulty ladders
- Completion as proxy for learning
Richer signal
Apore signals
- Self-rated difficulty after each problem
- Hint count and turns to resolution
- Hedging language and dialogue patterns
Theplatform
Builtforcalibration.
Intelligenceisnotboltedon—itisfoundational.Aporelearnsfromhowyoustruggle,notjustwhetheryougottheanswer.
GroundedWiki
Uploadstudymaterial—HTML,plaintext,images—andAporecompilesawikiyourtutoractuallyuses.Noout-of-contextanswers.
SocraticTutor
GuidancefollowstheDean–Teacher–Studentpattern:constraintsagainstdirectanswers,hintsthatciteyoursources,dialoguethatbuildsunderstanding.
AdaptiveCalibration
Adifficultyscalar(0.1–0.9)updatedaftereveryquestionfromexplicitratingsandimplicitsignals—conceptdepthandquestiontypetrackedseparately.
Howitworks
HowAporelearnsyou.
Aclosedloop—groundedcontentin,calibrateddifficultyout.Everysessionmakesthenextonefityoubetter.
01
Learner uploads study content
Notes, slides, and readings enter the system.
lecture-notes.pdf
Uploading to Apore
01Upload
02Wiki
03Problem
04Attempt
05Socratic
06Signals
07Calibrate
08Personalize
Operatorexperience
Designedforclarity.
Theinterfacesurfacesexactlywhatyouneed—thequestion,thedialogue,andwhereyousitonthedifficultycurve.
Practice
IfA={1,2,3}andB={2,3,4},whatisA∩B?
Difficulty:0.51
Socratictutor
Recall
Apply
Synthesis
Calibrating
Research
Research-backed,honestlyscoped.
Aporeisastudent-drivenappliedresearchprojectunderSAIT.ExistingworkhasexploredSocraticLLMtutoring,adaptiveeducationalsystems,andretrieval-groundedlearningindependently—Aporecombinesthesewithreinforcement-stylecalibrationdrivenbylearnerinteractionsignals.