Learning Playground

Follow a thought down the rabbit hole. A Playground is a canvas where you explore a topic and your local AI deals you knowledge cards — short, rich mini-articles it writes on the spot — one leading to the next, as far as your curiosity runs. Everything is on your Mac; nothing is looked up online.

Start exploring

Choose ✦ New Playground (from the ⇧⌘P command palette, or the New menu) and type what you want to explore — a concept, a question, a name. MojoPad lays down a seed and deals your first card: a written answer with headings, key terms in bold, and (if you like) a photo.

To go deeper, press ✦ Grow on any card and a fresh card is dealt from it — the exploration branches like a real train of thought. Every card also has an “Add a follow-up…” bar at its foot: ask a pointed question and the answer arrives as its own card. Bold keywords are clickable — click one to grow a card about exactly that.

Reading the board

• Trails color-code themselves — each line of inquiry takes a colour, so you can see at a glance which branch is which.
• The frontier — the newest, least-explored edge of the board carries a soft amber tint and a gentle nudge to keep a card worth keeping.
• The view follows you — a Grow never changes your zoom; the board simply pans to reveal the new card, so you never lose your place.
• Cards size to their content — a card is never a tiny box with a scrollbar; it grows to fit what it says.

Photos

Turn on Photos and cards illustrate themselves with openly-licensed images (from Openverse and Wikimedia Commons), chosen for relevance to the subject — the mechanism, not just the word. Click a photo for a full-size lightbox with its attribution and license.

It's still a page

A Playground is a Canvas underneath, so it saves like any other page, turns up in search, and is there to revisit or keep growing whenever you come back. Drag a card off to a page, or fold the whole thing into your notes. And because it runs on your local model (see Local AI), you can explore freely — no accounts, no tokens, no limits.