INFLUencestarts with your style

ChatGPT starts from zero every time: it doesn't know your writing style, your audience, or what resonates with it. INFLU builds a style profile from your real posts once — verbatim phrasing, rhythm, hooks, taboos — keeps your top posts by resonance, and feeds all of it into every generation automatically. No prompt engineering: you give a topic, the rest is already in the system. The blind test above is exactly this difference.

The style profile isn't an abstract 'friendly tone'. It's your verbatim slang with exact spelling, signature openings, sentence rhythm, sign-off, and taboo topics, extracted from your posts. The profile is transparent: you see exactly what INFLU understood about your style and can update it. 10 to 30 posts are enough to start — paste links or just point at an account and the import picks what matters. More data and more of your edits means a tighter match.

No, INFLU works with text only and learns your writing style: your slang, sentence rhythm, openings and sign-off. It writes posts, threads, captions and video scripts; there is no voice-over. It does read the speech and on-screen text in your videos, but only to learn how you talk and write scripts the same way.

The opposite — that's what the 'proven author's style' mode is for. Point at a strong author in your niche, and INFLU breaks down why their delivery works: the hook, the structure, the rhythm. It then writes in that manner on your topics — borrowing the craft, not their facts or biography. Once your own posts and metrics accumulate, you switch to your own style.

The author's, whatever it is. The style profile is built in the original language and slang keeps its exact spelling. Three are measured and proven, each with live authors: English, Russian and Arabic. Right-to-left writing is supported end to end, from the style breakdown to the layout. Global tools weaken outside English: stiff phrasing, calques, a lost tone. We close that with measurement of the output in each language, not with a promise. The app interface is currently available in two languages, English and Russian, with Arabic in development.

Telegram, X, Instagram, TikTok, and YouTube. One result is shaped natively for each platform: a text post, a tweet or a thread, a caption with hashtags, or a vertical video script at 15, 30, or 60 seconds — with spoken lines and on-screen text. Hard platform limits (280 characters on X, 2,200 on Instagram, and so on) are enforced automatically; long text gets carefully compressed, not cut off.

For posts that need facts, web search kicks in: INFLU gathers fresh data first — with date checks so nothing stale slips in — and only then writes the post on top of it. And crucially, you always see the text before publishing — nothing unverified goes live.

Never. INFLU has no access to publishing: it proposes, you decide and publish. That's a product principle, not a version limitation: the author always stands between generation and going live, which keeps the cost of error low.

A credit is one generation. A simple post costs 1 credit; heavier operations — a post with web facts, a video script, an account analysis — cost more, and the price is visible before you run anything, so there are no end-of-month surprises. The pool renews monthly. Start covers one author posting regularly; if you run several platforms or clients, look at Pro and Agency.

Your posts and metrics are stored as your profile and used only in your generations. The shared model is not trained on them — your style lives in data, not in model weights, so your manner can't leak to other users. On request, we delete everything completely.