Keyword trigger
The user sends a specific word or phrase and the flow starts there. Well suited to campaigns, discount codes and sign-ups.
Not every conversation is open-ended. Part of your business runs on fixed paths: someone comments under a post and should receive a link, someone sends a keyword and should enter a sign-up path, someone abandons a form halfway and should get a reminder. AutoFlow builds exactly those fixed paths in a visual editor: message, image, buttons, form, delay and API call, arranged in order and executed the same way every time.
AI answering is for open questions: someone asks how long the warranty runs and the bot builds a reply from your documents. But part of the work is not a question at all — it is a process. The user has to move through a few defined steps and see or enter something at each one. For that kind of work an open-ended answer is neither necessary nor dependable, because it may come out slightly differently each time.
AutoFlow is the deterministic layer beside the intelligent one. You define the path and it runs exactly the same way every time. A flow can start from a keyword in a message, a comment under a post or a new follower, and continues as a chain of actions you arranged in the visual editor. The two work together: AutoFlow carries the defined paths, and AI answers the open questions.
The user sends a specific word or phrase and the flow starts there. Well suited to campaigns, discount codes and sign-ups.
Someone comments under a post and the chain runs in their direct messages — the comment-to-direct pattern.
Every new follower can enter a welcome and introduction path without anyone sending a message by hand.
At each step you can send text, show an image or offer buttons so the user picks the next branch.
Collect a name, a number or whatever else you need inside the conversation itself; the user never has to leave it.
Put a gap between two steps, or call your own service and show the result in the same conversation.
You post "comment the keyword below"; every comment turns automatically into a direct message with a link and an explanation.
A fixed multi-step path that ends with a name and number recorded and the user knowing what happens next.
Instead of one long message, information arrives across a few steps with images and buttons so people do not drop off.
Anyone who left the path unfinished receives a reminder after a defined delay.
Every new follower gets a short introduction and a clear way to begin.
Query your own system mid-flow and show the result inside the same conversation.
One keyword, one fixed message.
One trigger, a full chain.
No. Flows are built in a visual editor: you pick blocks and arrange them in order. Even the API call is configured as a ready-made block inside that same editor.
No, it sits beside it. AutoFlow carries the fixed, multi-step paths, while the AI engine answers open questions from your documents.
A keyword in the user's message, a comment under a post, or a new follower. So the user does not have to message you first for a path to begin.
Yes. That is what the form block is for: a name, a number and any other detail is captured inside the conversation, without the user leaving it.
Yes. The delay block lets the next step run after a defined interval — which is what makes follow-ups and reminders possible.
Yes. The API call block queries your service mid-flow and shows the result in the same conversation.
Start with a short path, try it on a single post or keyword, then grow it from there.
آرتینمگ
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جستوجوی کلیدواژهای داخلی سازمان چرا اغلب جواب نمیدهد؟ پنج محدودیت واقعی جستوجوی سنتی و اینکه جستوجوی معنایی دقیقاً چه چیزی را متفاوت انجام میدهد.

دانش سازمان معمولاً فقط در دست چند نفر خاص است. سه مانع رایج و چهار اصل عملی برای اینکه هر کارمند، صرفنظر از سمت یا مهارت فنی، به دانش سازمان دسترسی داشته باشد.

سازمان شما هزاران سند دارد، اما آیا این یعنی دانش سازمانی هم دارید؟ تفاوت بین انباشت اسناد و دانش قابلاستفاده، و چهار نشانهای که این تفاوت را نشان میدهند.

چرا کپی-پیست اطلاعات سازمان در ChatGPT کافی نیست؟ پنج تفاوت اصلی هوش مصنوعی سازمانی با ChatGPT، از دسترسی به داده واقعی تا امنیت و ردیابی پاسخ.

دانش سازمان در ایمیل، درایو و چتهای مختلف پخش شده و پیدا کردنش سخت است؟ سه اصل عملی برای مدیریت دانش پراکنده، بدون نیاز به جابهجا کردن همهچیز.

چرا در بسیاری از سازمانها، پیدا کردن یک پاسخ ساده دقیقهها یا ساعتها طول میکشد؟ بررسی ریشه واقعی این مشکل و هزینه پنهانش برای سازمان.
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