Requirements review before refinement

Find the gaps before your team does

Paste a brief, a spec, a user story or a task description. Grumli finds the gaps, writes in what is missing and hands back a finished document — with your own wording kept wherever it was already good.

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Status filter in the orders tableReady for refinement

Add a status filter to the orders table.

Statuses: new, in progress, done.

Make it fast.Filtering 10,000 rows completes within 300 ms.rewritten
Acceptance criteriaAll statuses are selected by default. The selection persists for the session. When no order matches the filter, a message and a reset button are shown.added
?Should multiple statuses be selectable at once?

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01

Paste your draft

A brief, a spec, requirements, a user story or a task description — as text or as an .md, .txt or .docx file. As it is, no preparation needed.

02

Get the analysis

Grumli finds ambiguities, missing cases and untestable criteria, and writes out the questions your team is going to ask.

03

Take the finished version

Your text is preserved, missing sections are written in where they belong, and every edit is highlighted — revert any of them in one click.

Not a list of complaints — a finished document

Three things Grumli does to your draft. Every edit is highlighted in its own colour.

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Redaction in your browser

Press “Redact” and emails, phone numbers and links are replaced right in your browser, along with your company and product names from a list you provide. It does not happen automatically, and it is not all-powerful: names, addresses and contract numbers stay, so read the text before sending. The file itself never leaves your machine: .docx and .txt are parsed in the browser, and only the text in the field is sent, only when you press “Review”.

We store no documents

No accounts, no history, no database — there is simply nowhere for the text to be kept. The logs hold technical lines only: length in characters, document type, response time and token usage; the text itself is not there. The one place your text does travel to is the language model API, and under the provider's terms the data sent is not used for training.

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The review runs on frontier models, with a prompt and a response schema built for this one job rather than for general chat.

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Built by people with 12 years in requirements documentation.

The review rules are the ones real tech leads use: ISO/IEC/IEEE 29148, EARS, and the questions that actually come up in refinement.

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