Strawberry vs Devin

Not every job that costs you a day is a coding job.

Think about the mess two teams made when they merged their systems.

Say it is the eight hundred contacts that now exist twice, waiting on you for your RevOps lead. Every pair needs someone to decide which record is the real one.

You could write a script for the obvious matches. The ones that cost you the day are the ambiguous ones, where the newer record has the right title and the older one has the signed contract.

Cognition documents where Devin is aimed. It describes an autonomous AI software engineer for engineering teams and their backlog, and says the best results come from tasks with clear success criteria such as test suites or CI checks.

Your CRM has no test suite. Success here means eight hundred contacts became six hundred and forty correct ones, and your RevOps lead can see why each merge happened.

The work happens in your CRM's own screens, because that is where the mess is.

Your AI companion works the CRM in the session you signed into this morning.

It opens the two records that disagree, compares the fields, and writes the merge back where the duplicate was. Nothing is exported, staged or copied anywhere to make that possible.

That is also why it reaches 2,000+ integrations rather than a shortlist of connectors. The merged contacts are written back to the records themselves. The exceptions land in a sheet with a link to each pair. Your RevOps lead gets the summary in the channel she reads.

Cognition documents a different arrangement. Devin works on its own machine with a shell, an IDE and a browser you can watch and take over. For sites that need a login, it documents signing in through its Interactive Browser, then asking Devin to save the browser profile. The cookies and profile data become a one-time update to your organisation's blueprint, restored in future sessions once you approve it.

When two records disagree, your AI companion should come back and ask you.

The dangerous part of a data cleanup is not the work.

It is the confident merge that quietly loses the contract owner nobody had checked.

So Strawberry treats reading, drafting, sending and changing a live record as four different decisions. Every connected action is set to ask, always allow, or off, and it stays that way until you change it.

Let it merge the exact matches on its own. Require your approval for the seventy pairs that disagree. Switch anything that deletes off entirely, and it stays off.

When something needs approval you get a real editor, not a yes or no box. You see the record, the exact change and the evidence beside it, and you can correct it before it is written.

What you keep afterwards should be a teammate, not another thing to maintain.

A cleanup like this usually leaves a second problem behind.

Somebody wrote a script, and now the script belongs to somebody.

Cognition documents Devin closing that loop in code. Devin Review with Auto-Fix responds to review comments and iterates on CI failures, so pull requests are ready to merge by the time you look at them. That loop closes inside the repository, where a test can say whether it worked.

For your CRM, Strawberry keeps the method in language. The matching rules you settled on. The fields that decide a tie. The point where you want to be asked.

Saved once as a skill, it is readable by the person who owns the data. Nobody has to run a repository to keep the cleanup working next quarter.

The duplicates come back next quarter, so the cleanup should run itself.

Bad data is not an event.

Two systems keep writing to each other, and the same eight hundred rows drift apart again while nobody is watching.

So give the job a schedule, or a trigger such as a new email arriving. Every run is recorded with what it did and what it cost, which means a cleanup that quietly stopped is visible rather than assumed. Cognition documents scheduled sessions for recurring work such as triaging errors, updating dependencies or generating reports.

Then hand the whole thing over. The matching rules, the exceptions it has learned and the accounts it uses travel with it. Your RevOps lead inherits the cleanup itself, not a document about it, and the team workspace keeps the shared files behind it on one credit pool.

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