PY Education · StudyPath AI

Alex’s study scopes

Every question you ask is organised into a goal-shaped workspace — a study scope — with its own curriculum map, its own canonical topics and its own evidence of what you actually know.

Active study scopes

Each scope carries its own goal, curriculum structure, topic mastery and revision journey.

Prepare for the HKDSE examination

Study progress25%
Organised topics
8 of 22
Needing attention
5
Target date
16 Dec 2026(119d)
Today
30 min
Last activity: 5 days agoOpen scope
active

Automate reporting work with Python

Study progress0%
Organised topics
0 of 6
Needing attention
0
Target date
6 Mar 2027(199d)
Today
15 min
Last activity: No activity yetOpen scope

What the mastery states mean

Asking a question is never treated as proof of weakness. Diagnostic performance is what moves mastery.

Unverified
Discussed or listed, but never tested.
Possible knowledge gap
A question or answer suggests uncertainty. Not proof of weakness.
Developing
Partially correct diagnostic evidence.
Likely strong
Good evidence, but not yet repeated.
Verified strong
Repeated strong diagnostic performance.
At risk of forgetting
Was strong, but not retrieved for a long time.

Demo mode

Running with no Supabase project and no model API key.

Demo identities

No credentials needed. Switch between a learner with an organised scope and a learner starting from zero.

Alex — returning learner

An organised Accounting — HKDSE scope with 22 topics, six past sessions, diagnostics, misconceptions and a revision journey.

New learner — start from zero

No scopes yet. Ask a question and watch goal discovery build the scope around it.