Strawberry vs n8n

The work that eats your week is the work nobody will ever build a workflow for.

Think about the work that lands in a lump and has to be done by Friday.

Say it is the ninety applications that came in this week, for your hiring manager. Every one needs reading against what the role actually needs. The CVs are PDFs. The verdicts belong in the tracker your team already opens.

Nobody is going to build an automation for that. It happens once, it takes a judgment call on every candidate, and the criteria change with the next role.

Strawberry needs nothing built. You describe the shortlist you want, and your AI companion reads all ninety, working through many at once. The ranked list arrives in your tracker with two lines of reasoning on each name and a link to the CV it came from. Ask again next month and it runs again.

In Strawberry the build step is a sentence.

n8n documents the shape of that build.

The canvas is the main interface for building workflows, where you add and connect nodes. Nodes define when the workflow should run, fetch, send and process data, define flow control logic, and connect with external services. Credentials store the authentication information for each app. Expressions populate node parameters by executing JavaScript.

Self-hosting adds its own step. n8n documents it as requiring setup with npm, Docker or a server, and technical expertise for installation and configuration.

In Strawberry you say what you want in your own words, and it happens. Nothing to wire, nothing to map, nothing to redeploy when the job changes. When you want it changed you say that too, in the same chat, to the same AI companion that did it last time.

Being the browser is how your AI companion reaches the systems an integration cannot.

There is nothing to connect first.

Strawberry is the browser you already log into, so your AI companion opens the applicant tracker exactly as you do. The internal portal your ops team set up in 2019 has no API, and it does not need one.

The reach is 2,000+ integrations, and what matters is that the finished work lands inside them. Rows land in your sheet with the CV linked beside each name. The candidate record is updated in the tracker itself. The reply sits in your inbox as a draft.

When a system has no API at all, the browser is the integration. Your AI companion clicks through the supplier site the way you do. The admin panel nobody documented and the government portal that has looked the same since 2011 are the same kind of work.

You approve the send itself, not a workflow that might send something later.

Approving an automation is a promise you make in advance, about messages you have not read yet. Strawberry moves that decision to the moment it matters.

Every connected action is set to ask, always allow, or off. Reading the tracker can be always allow while every rejection email still waits for you, and payments can be off entirely.

You approve inside an editor. The destination, the recipient, the full text and the attachments are all there, and every one of them can be changed first. A reply shows the address it resolved, so you catch the candidate whose email came through wrong.

n8n documents two execution modes: manual runs started from the editor, and production workflows that run automatically once a version is published.

Work that repeats should be a schedule you can audit and a process anyone can rerun in one line.

Save what your AI companion did once and it keeps how you like it done.

It holds what the role actually needs, how you weigh a near miss, and when to stop and ask you rather than guess.

Then give it a schedule, or a trigger such as a new email arriving. Every run records what it did and what it cost, so a schedule is auditable rather than hopeful. n8n documents its own execution history, with views for a single workflow and for all workflows.

The difference is what your team receives afterwards. Your screening process becomes a skill anyone can run in one line, in their own words, without opening an editor. You can also hand over the whole AI companion, carrying its memory, its skills and its connected accounts. A colleague inherits a working teammate rather than a diagram to maintain. The team workspace holds the shared files, and your hiring manager runs the screen next month on the team's credits.

Frequently asked questions