
Hidden ramen spots in Tokyo you must try
@tastingtokyo
Six under-the-radar ramen shops across Shinjuku and Shibuya, with the dish to order at each and how to actually find them.
Manual filing works right up until the week you are busy, and then never again. Nemivo watches what you save, proposes the collection it belongs in, and waits for you to say yes.
In short
Collections in Nemivo are folders that fill themselves. The AI compares each new save against the collections you already have and proposes where it belongs, or proposes a new one when a cluster of saves clearly needs it. Nothing moves until you accept the proposal, and a proposal you accept can be promoted into a permanent rule.
Automatic filing that guesses wrong is worse than no filing, because you stop trusting the shelf. So this asks first.
The enrichment step already worked out a topic and a category for the item. That is the starting point: a save arrives somewhere sensible rather than in an undifferentiated pile.
Using the same vectors that power search, a new save is compared against the collections you have built. A confident match becomes a proposal on the item’s own card.
When a group of saves clearly belong together and no collection fits them, Nemivo proposes making one, and shows you every save in the cluster rather than a single example.
Accepting moves the item in and records that the AI put it there. Dismissing is kept too, as a calibration signal, so the proposals get better rather than repeating themselves.
The AI proposes. Everything about the structure itself stays a decision you make.
Collections carry a colour and a manual order you drag into place in the sidebar, because the order you think in is not alphabetical.
A save is not filed away in one folder forever. It has a primary collection and can belong to others at the same time.
When you accept a proposal the item leaves the staging collection it was parked in, so it ends up in one place rather than in two.
A proposal you accept can be promoted into a durable automation rule in one step, built from the traits that actually characterise that collection.
Platform, tag, media type, date, favourite and archived narrow any view, and search runs inside whatever you have narrowed to.
The app knows which memberships you made and which the AI proposed, which is what makes it safe to let it propose at all.
Mostly one thing, said three ways: it does not move your saves behind your back.
Suggestions sit in an inbox and on the card of the item they concern. They are proposals until you accept them. If you want filing to happen without asking, that is what an automation rule is for, and you write it yourself.
Matching runs on the vector, which is written after the AI has read the item. A save that has not been enriched yet gets no proposal, it simply waits.
There is no limit on how many collections you keep, or on how many saves go in each one. Making new ones is one of the things that pauses when a trial ends without a subscription; the ones you already have stay exactly as they are.
A cluster is found from summaries, tags and vectors, which all come from the text of your saves. Saves with thin text cluster badly, for the same reason they summarise badly.
The long version, including what is stored and where the AI sits, is on how it works.
Accepting the same kind of suggestion twice is a hint. Promote it once and every future save that looks like it is filed the moment it arrives, with no inbox in between.
No tiers to weigh up and no limits to plan around: the trial is the whole product, and Pro is the same thing that keeps running. Your library stays readable and exportable either way.
Built for people who save content every day.
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No. Proposals wait for you. The only thing that files a save without asking is an automation rule, and you write those yourself.
Want the mechanism and the limits in full? Read how it works.
Nemivo reads the caption on everything you save, writes the summary, adds the tags and files it away. Months later you ask for it in your own words.
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