Fellou alternative

Your work is not organised by what gets produced, it is organised by who is waiting for it.

Think about the request sitting on you right now that carries somebody else's deadline.

Say it was the security questionnaire that arrived with the enterprise deal, for your account executive. Eighty questions, and the answers already exist. They are in last quarter's questionnaire, in the policy doc, in the sub-processor list nobody has updated since the audit.

None of that is an image, a song, or a block of code. It is one job, with a person waiting on it, and it is slow because someone has to go and assemble it answer by answer.

Strawberry takes the job rather than the artifact. Your AI companion opens last quarter's file, reads the policy doc, checks the sub-processor list, and works through the eighty questions at once. What comes back is the questionnaire filled in, with the source sitting beside every answer, in the document your account executive sends back.

An AI companion that owns the job runs it on the logins you already have.

Strawberry is the browser, on Mac and Windows, so your AI companion works the accounts this job runs on. It opens last quarter's questionnaire on the shared drive. It signs into the compliance portal for the current sub-processor list. It reads the deal record where the customer's redlines are attached.

Fellou documents deep research across the internet, including logged-in accounts on platforms like Reddit, generating reports with verifiable sources. It also states it is designed to handle logins, authentication, and even CAPTCHA challenges.

A report is one destination, and your account executive needs four. The answers go into the questionnaire document itself. The two questions nobody can answer go to your security lead as a message with the exact wording attached. The deal record gets a note saying which version went back. That is what 2,000+ integrations buys you: the work stops at the finish line instead of stopping at a file.

Running many things at once is not the same as handing back one finished piece of work.

Fellou documents that it runs multiple tasks simultaneously in its back-end workspace while users browse other sites.

Strawberry puts the parallelism inside a single job. Your AI companion splits the eighty questions across sub-agents, each with its own clean context. It opens the sources it needs in many pages at once, and keeps working while they stay out of your way.

You get one deliverable at the end, not eighty fragments to reconcile. The pages it opens start muted and stay attached to the chat. Nothing steals your tab bar or plays audio at you while you work on something else.

Approval belongs on the action that leaves the building, not on the plan you signed at the start.

Fellou documents that it analyses your goal to create a detailed, step-by-step action plan first, which you can review, approve and edit before execution, and that you can step in at any moment.

Strawberry puts the checkpoint at the moment of consequence. A plan approved before the work starts was approved before anyone knew what the work would find. Reading a page, drafting a reply, sending that reply and changing a live record are four different risks, so they are four separate decisions.

Each connected action is set to ask, always allow, or off. Filling in the questionnaire document can run unattended. Anything that reaches the customer, or that edits the deal record, waits for you.

Approval opens the work itself, editable. You see which answer is going into which question, the message going to your security lead and the file attached to it. All of it is changeable, and a reply shows you the address it resolved before it is used.

The colleague who takes this job over should receive the AI companion, not a document explaining it.

Most work that matters arrives again.

The questionnaire comes back at renewal, and a different customer sends their own version in October.

Save the job once and Strawberry keeps how you like it done. Which answers are approved, which claims legal has already cleared, where you want to look before it carries on. Then give it a schedule, or start it the moment the next questionnaire lands in your inbox. Every run records what it did and what it cost, including the runs that failed, so a month of unattended work is auditable rather than assumed. Fellou lists 2 scheduled tasks on its free plan, 3 on Plus, 5 on Pro, and unlimited on Ultra.

Then hand the whole thing over. The memory, the skills and the configuration travel with it, so the colleague who inherits the questionnaire is not starting from a handover document. They sign into the portal with their own login, and the AI companion already knows which answers legal cleared. Your team workspace keeps the approved answers and the files behind them, on one shared credit pool.

Frequently asked questions