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The student does the whole inquiry. The AI supports every step, and never writes it.

She does her own real coursework inside a project, turns methods into habits with the thinking cards, and ends up with a report that describes how she thought. Three parts, best read in that order.

Projects · inquiry writing, supported end to end

From research question to finished draft — support at all six stages

EE, TOK, IA, a research project, a science-fair entry — the form is open. What the project space gives is a route that can actually be finished: six stations carry the structure, and cards arrive as needed. A single course usually calls on three to five of them.

S1

Question

Narrow an interest into an answerable question — object, scope, comparison.

→ question chain
S2

Sources

Move from finding material to making sources argue with each other.

→ source table
S3

Method

Compare candidate methods; say why this one answers this question.

→ method frame
S4

Data

Work her own evidence — cleaning, analysis, and how certain she is.

→ data pack
S5

Writing

Build the argument, take the counter-case, bound the conclusion.

→ revisions
S6

Managing

Throughout: plan, notice the plan failing, adjust.

→ project log
The reading studio

Every claim can be traced back to where it started

A post is a retelling; the study behind it is the evidence. With the only three searchable features in an unsourced post, the student found the NASA release herself, then the Nature Sustainability paper behind it.

LATERAL · step outside the page

SIFT

Stop · investigate the source · find better coverage · trace to the original context. It settles whether they said it.

VERTICAL · stay on the page

CRAAP / CRRAAB

Currency, relevance, authority, accuracy, purpose. For personal testimony the fifth swaps purpose for bias — the idea of authority bends under load.

METHOD DISCIPLINE

Switch the tool with the object

Ride the lateral tool all the way and you stop at “Nature published it, so it's fine”. Once you reach the primary paper you must switch back to vertical and ask whether it holds.

product-reading-provenance
Reading room: the provenance chain post → NASA → Nature, plus the exploration map
In the language of the source pyramid, tracing provenance means climbing the ladder until you can climb no further.

Tracing is only half of it. What got lost between the retelling and the original?

The gap concentrates in three things: the source, the caveats and the frame. Neither swallowing it nor dismissing it requires reading the original. Only wanting to actually know does.

Kind of gap What the original says What the post says
1. Uncheckable
The source vanishes
NASA Ames release, the Nature Sustainability paper, authors and institutions No source at all — just “images and text from the internet”
2. A checkable error
The denominator is swapped
China is 25% of the global net leaf-area gain. The 42% is forest programmes' share of China's own greening “Over 40% of the world's greening comes from China”
3. Not fully checkable
The caveats vanish
It can't offset tropical vegetation loss; India's gains lean on groundwater and may reverse Both caveats are simply gone
4. Checkable but misread
The frame is displaced
Human activity “also contributes”; climate and CO₂ fertilisation still appear dominant “The real cause isn't population but tree planting” — a conjunction rewritten as a substitution
The anchor this course is built around

40% and 42% are two points apart — a glance reads them as the same number

But the denominator moved from “China's greening” to “the world's greening”. The number was copied; the meaning doubled. The error is checkable, unfakeable and genuinely deceptive — anyone can say they check data. Catching this is what counts.

The rabbit-hole log

Tracing a source opens side branches. They have a real trigger and real value; what they need is a boundary. The system records the trigger, the side question, its relation to the main one, and why she left.

Leaving in time is also evidence of autonomy

A1 measures who sets the direction, not how far you went. Taking it all on board means someone else set it. Drifting means nobody set it — including her. Neither counts as autonomy.

The writing project space

The student writes the prose. The AI only helps her think it through.

There's no formatting here, and no “submit to school” button. We occupy the thinking layer — her essay lives in her own world, and that file isn't ours.

product-writing-studio
Writing surface: draft + preview + read-only process tree + coach rail
The process tree on the right is a read-only record of how she got here. The finished piece exports and leaves with her.

One continuous conversation

Framing, planning, sources, reading, writing and review are surfaces of the same Imprint, with one agent behind all of them. Changing rooms moves the camera; it carries the whole memory along.

One project spine

Proposal, plan, reading list, outline, activity log — every surface reads and writes one durable state. Solidified dialogue folds into the spine: the thread stays lean and nothing is lost.

There is exactly one red line

The AI may explain a concept, generate search terms, play the opposition, flag a broken draft. It may not set her direction, make her core judgment, or produce submittable prose.

Why that boundary has to hold

The hardest AI risk to catch is that it agrees with you

A student offers a claim that doesn't stand, and it supplies the reasons. A student hints at a preference, and it shifts to match. Seeing that and holding against it is the hardest and most important move of this era — and it only shows up in tasks long and open enough for the AI to really have the chance to agree.

Start a real inquiry

Walk it yourself first. Then decide whether it belongs in your classroom.

The demo runs on real material: an unsourced post, traced all the way back to NASA and Nature Sustainability. You'll see when a card gets handed over — and what the final report says.