Voice profiles

One voice per account. Read from what you already posted there.

When you ask for a draft, Antwork hands your AI the recent posts from that specific account — not from "the platform" in the abstract — along with how each one performed. Your AI reads how you write there and writes like that. Your personal LinkedIn and your company page are different accounts and they sound different.

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Generic AI

Excited to share that we've just launched our latest feature! 🚀 This is a game-changer for productivity. Check it out and let us know what you think! #innovation #startup

Your voice

Spent the week on scheduling. The hard part was never the posting. It was remembering which account I'd already used that idea on.

first personshort linesno hashtagsno emoji

How your voice gets built.

Step 01
Connect an account
You authorize the account once over OAuth. There is nothing to wait for and no analysis job to run — the voice is read at drafting time, from whatever that account has published by then.
Step 02
Your AI reads that account
When you ask for a draft, Antwork hands over up to 15 recent posts from that account with their metrics. Tone, sentence length, hooks, emoji or not, how you open and close — your AI takes it from the posts themselves, not from a summary of them.
Step 03
Every draft uses the right account
Voice changes with the destination account, not just the platform. Two LinkedIn accounts in the same workspace are read separately, each from its own history.

Why reading the account changes the output.

One voice per account

Each connected account has its own profile. Your personal LinkedIn and your company page are different accounts and they sound different.

Performance comes with it

Every post arrives with its engagement metrics, so your AI can lean on the ones that actually worked rather than your average post.

Always current

There is no saved profile to go stale. It is read at drafting time, so the voice used today is the one you write in today.

You can steer it

It is a conversation with your AI: say "less formal", "no emoji", or paste three reference posts and it will use them for that draft.

No house voice

Antwork imposes no tone of its own and never rewrites what your AI produces. The only model of your voice is your own posts.

Multi-account

Multiple accounts on the same platform? Each account has its own profile. What one learns doesn't leak into another.

What you'll notice in practice.

Your LinkedIn stops sounding like your cofounder's

If both of you ask the same AI for a post about the same launch, you get different drafts: yours with your hooks, theirs with theirs.

Your tweets stop reading like compressed LinkedIn

The X profile uses your actual X cadence — short hooks, contrarian first line, no corporate.

Threads actually sounds casual

If your Threads is lower-case and conversational, drafts match. None of that "🚀 Excited to share..."

Cross-posting with native voice

Ask "post this to LinkedIn, X, and Threads". Antwork adapts the same message into three different voices of yours — not one.

FAQ

What people ask.

What if the account I connect has no posts yet?

Then there is nothing to imitate, and your AI will say so rather than invent a voice. Paste 3–5 reference posts into the chat, or tell it the tone you want, and it will write from that.

Can I tweak it?

Yes, by talking to your AI. Say "less formal", "no emoji", or "use these three posts as reference" and it applies to that draft. There is no saved profile to edit in the web app.

Does my voice mix with other users' voices?

No. Each account is read separately, and only at drafting time. The model doesn't train on your posts — it reads them for that draft and discards the context after.

How long does it take?

Nothing to wait for. There is no background analysis: the posts are fetched when you ask for the draft, in the same call.

What about personal LinkedIn?

LinkedIn does not let a personal account read its own posts back over the API. There, Antwork uses what you have published to that account through Antwork instead — partial signal, but it is what exists, and your AI will tell you the difference.