The hierarchy
Stoka is the platform. These six apps are the live reference integrations.
They are real apps with real pricing, but on this site they matter as pressure tests: six controlled surfaces showing how different kinds of AI work get captured, retrieved, and optionally circulated inside the Stoka ecosystem.
Study integrations
Three examples of the same platform logic applied to study work: one deep vertical, one general engine, one spatial surface.
Three reference integrations
Three apps that show three ways source notes become reusable study artifacts — a pharmacy vertical, a universal engine, and a spatial map.
Debono
Visit →A hard domain test. Pharmacy is specific enough that fake abstractions break fast, which makes it a good proving ground for study artifacts.
Distilio
Visit →Same artifact logic without the pharmacy assumptions. If the model only works in one curriculum, it is not a platform.
Destilo
Visit →Proof that an artifact does not have to end as text or flashcards. The same source material can become a map you navigate and revisit.
More integrations
Operations, composition, and voice: surfaces that prove the artifact model is not just for study apps.
Published docs
Public guides, architecture notes, and philosophy that actually shipped.
Public docs landing soonPublished docs
Public guides, architecture notes, and philosophy that actually shipped.
Public docs landing soonPublished docs
Public guides, architecture notes, and philosophy that actually shipped.
Public docs landing soonWhat the platform is optimizing for
The point is not “more AI.” The point is keeping useful work alive long enough to matter, then letting it travel without turning into feed sludge.
Solo-first.
Every artifact is yours alone by default. The product must feel amazing as a personal tool before anyone is invited. N=1 is the first market we serve.
Sharing, not posting.
Default visibility is private. The primary action on an artifact is share-to-handle, not publish-to-public. No algorithmic feed, no virality loops, no retention traps.
Trust-inverted discovery.
Strong anonymity means users opt into more discovery, not less. Pseudonyms are the identity primitive. The stronger the mask, the richer the exposure a user is willing to pick.
From the blog
All posts →Product updates, AI takes from the trenches, and notes on building the artifact platform — written as we go.
Anonymous reputation and credibility
Recognition is easy. Credibility is the hard part. How a handle earns trust without a legal identity behind it — and how to defend that trust when it matters.
Anonymous intellectual property
If a handle can earn trust, what else can it own? Patents, royalties, copyright, contracts. The case for IP that lives under handles, not legal names.
Leave your data at the door
Why we sign you in with MetaMask and never ask for your name, your email, or anything else.
Read how Stoka works.
The artifact, capture, retrieval, sharing, and the phase ladder — on one page.
How Stoka worksWant to dig deeper? Read the specs