Build the script from blocks and the AI takes the conversation from there: it qualifies the request, works through objections and drives to the target action. It writes from a regular account, in plain living language.
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An ordinary direct-message conversation. On the right — what the script is doing at that moment.
The script sees which chat the person came from and what they wrote there. Not “hello, we offer services”, but a reply to their own words.
“Alright, suppose so” is interest, not agreement. The assistant knows the difference and takes the clarifying branch instead of rolling out the offer.
Qualified, interested, declined — dialogue states the script later branches on and the stats are counted from.
A postponement leads into its own part of the script: remind later, rather than repeat the same offer in different words.
You define the conversions yourself. They add up to the campaign funnel, so you can see at which step the conversations fall apart.
A dialogue is a diagram on a canvas: nodes and the links between them. Ten block types that add up to any conversation logic you need.
A template with a name dropped into it is still a template, and it shows. The script has thirty fields about the person, and the AI leans on them when wording a message.
What the profile lacks is filled in by an AI variable: you describe the trait in words, the assistant infers it from the person’s messages, and the script branches on it. Repeating chunks of text are spun into variants inside the message itself, so a hundred conversations do not open with the same line.
The rules of conduct are baked into the platform and outrank your task: if the task pushes towards breaking a rule, the assistant will not break it. This protects your brand — the conversation stays within bounds even when the task is worded too pushily.
Full automation is great right up until the conversation becomes expensive. After that a manager steps in.
Turn it on in the dialogue and the assistant goes quiet for good. A real person continues from the same dashboard, on the same account.
The notification block pings you in Telegram at exactly the step where you want to step in — not after the lead has gone cold.
Dialogues in the dashboard are tagged with marks and conversions, so the ones stuck at a given step are found with a filter in seconds.
The manager sees the whole thread and picks up from the same line.
The difference is not in politeness of phrasing but in what is possible at all. A Telegram bot cannot message first: until the person presses “Start” themselves, they are out of the bot’s reach.
That is exactly why the platform runs on accounts rather than on the Bot API. A line-by-line comparison is in the table on the home page.
You do not have to map the whole conversation tree up front. The working minimum is an opener, a couple of branches and a target action.
Who you are writing to, what you offer and what counts as success. That text becomes the AI’s task inside the messages.
Interest, doubt, “not now”, refusal. One branch per reaction — the rest you will add from real conversations.
Play the other side yourself and see where the assistant stumbles. Not a single live contact is spent on it.
Pick the audience and the accounts — the script starts working on everyone you collected.
The assistant runs the conversation. Who to run it with and from which account is decided by the neighbouring tools.
Seven days of full access for $9.99: a working account, the builder, the sandbox and every other tool on the platform.
We never charge automatically and never store your card.