AI LinkedIn reply generator

Grais is a desktop Chromium extension. With LinkedIn open in the browser, it reads the message thread on screen and drafts a reply against it: what this person asked, what you said last time, what is still outstanding. The draft appears in the conversation rather than in a separate tab, so answering does not mean rebuilding the context somewhere else and carrying the result back.

The part a template library cannot do is the memory. Grais keeps context per contact across conversations, channels, and months. A prospect who messaged you on LinkedIn in April and moved to WhatsApp in June is one relationship to it, not two cold threads, and a reply can reference the earlier conversation without you going to find it. It also tracks commitments in both directions, which on this surface usually means the deck you said you would send and the date they said they would come back to you.

• It reads register per contact. Formal with a new VP, direct with someone you have worked with for two years. The draft matches the thread it is in, not one house style.
• It flags the ones going cold. Grais surfaces conversations where the other side stopped replying and proposes a re-engagement built from earlier signals rather than a generic bump.
• Review is the default. Trust is set one contact at a time and starts at review. You can grant a known contact more autonomy; Grais never changes that tier on its own.

Most tools sold as LinkedIn reply generators write comments: you point them at a post and they produce something to say under it, to be seen. That is a visibility job. This page is about the other surface — the inbox, where a real conversation is running and the cost of a slow answer is the conversation itself.

The two jobs need different things. A comment needs to be plausible and fast, and it does not need to know who you are talking to, because it is talking to an audience. An inbox reply is the opposite: it is worthless unless it knows the history, and the history is exactly what a post-comment tool never has. Grais does the second job and does not do the first.

It is also not a sequencer. It does not send connection requests, run outbound campaigns, scrape lists, or push anything into a pipeline. If your problem is that not enough people are in the funnel, this is the wrong tool. If your problem is that people replied and you took nine days to answer, this is the part that was missing.

A reply that arrives in an hour and a reply that arrives next Thursday are not the same message, even word for word. By Thursday the person has re-decided, talked to someone else, or simply lost the thread. Almost nobody intends to be slow here. They are slow because answering properly means reopening a conversation they half remember, and that is a chore that gets postponed.

Removing that reopening cost is most of the value. When the context is already on screen and a draft is already written, a reply takes the ninety seconds it always should have taken, and the ones that used to sit for a week get answered on the day.

When a conversation needs more than one message to move — a price objection, a stalled renewal, an introduction you want to earn — set a conversation goal with `/goal`. Grais maps the sequence, decision points, and fallback positions, so the first reply is written with the destination in view.