SigmaOS alternative

Marking a page done is not the same as finishing the job.

Take the work that comes back every month whether you did it or not.

Say it is the competitor sweep, and your head of product wants to know what actually changed since last month. She needs the pricing moves. She needs the new features, and which of them matter to your roadmap.

None of that is hidden. It is on forty pages, in last month's version of the same forty pages, and in the note you wrote in July.

SigmaOS's homepage says your tabs are like tasks in a to-do list, and that you can mark them done or lock them to keep them around. That is a fast way to clear forty tabs. Clearing them is not the same as answering the question.

Strawberry keeps the work instead. Your AI companion reads the forty pages, writes the comparison, and files it where your head of product will find it. Next month it opens what it wrote in August and tells her which twelve things moved.

Last month's answer should be a file you own, not a tab you closed.

Your AI companion works into a workspace rather than a session.

Projects, files, transcripts and its own memory of what you decided all live there, and they sync across your devices.

That is what makes a month-on-month question answerable. Version history shows when a file changed and why. Recently deleted covers thirty days, and one restore can bring back an accidental deletion in a single pass. Search matches file names and the text inside nested files, so the July note surfaces without you remembering where you filed it.

SigmaOS documents searching of a different kind. Its docs describe Lazy Search as a way to search through Pages, tags, Workspaces and commands. That searches your browser. The question your head of product asked is about your work.

Forty pages is one job for your AI companion, not forty afternoons for you.

SigmaOS's homepage describes Airis as understanding the website you are on, with chat on any website, finding in your own words, and explaining paragraphs in context. It describes Look it up as Airis searching the internet to build you a starting point, and lists reading many pages at once. A starting point is where you begin. Your AI companion is measured on where you end up.

Strawberry is the browser itself, so it opens many pages at once and works through them in parallel, signed in as you. Large jobs go to sub-agents with their own clean context, which is the honest reason forty pages do not take forty times as long.

Then the result has to land somewhere. Strawberry reaches 2,000+ integrations, so the comparison arrives as an edit in the doc your head of product opens. Or a row in the tracker. Or a message in the channel where the decision gets made.

Nothing leaves your browser until you have read it and said yes.

Reading a page costs nothing if it goes wrong.

Sending a message and changing a live record are the two that reach other people. Strawberry asks about those separately.

Every connected action is set to ask, always allow, or off. Let it draft the summary email as often as you like. Keep every send behind your approval. Set payments to off and they stay off.

An approval request opens an editor, not a yes or no box. The recipient, the wording and the attachments are all in front of you and all editable. On a reply it shows the address it resolved, so you can correct it before it goes.

SigmaOS documents controls at the website level. Its docs describe per-website settings covering default zoom, permissions such as location, camera and microphone, and the user agent. Those decide what a site may do. Ours decides what your AI companion may do on your behalf.

The sweep should run itself next month, and belong to someone else the month after.

A monthly job you have to remember is a job you will eventually skip.

A Strawberry routine runs daily, on an interval, on a cron expression, or the moment an app event fires such as a new email. The sweep starts on the first of the month without anyone opening a laptop.

Each run records what it did and the credits it used. A run that nothing picked up is marked expired rather than disappearing. So the automated month is auditable rather than assumed.

Then hand the whole thing over. An AI companion carries its memory, its skills and its connected accounts, so your head of product receives a colleague that already knows which forty competitors matter. The team workspace holds the shared files and the agreed process, and shared credits cover whoever picks the job up.

Frequently asked questions