Telegram Neuro Commenting in Deskgram 2

This guide explains how to set up Telegram neuro commenting in Deskgram 2: what to prepare before launch, which settings affect the result, and how to make comments look more natural.

What this module does

The module monitors selected channels, waits for new posts, and sends comments from your accounts under those posts. The main difference from template-only commenting is the AI layer: you can define the tone, logic, and structure of replies instead of posting the same text repeatedly.

What to prepare before launch

• Add accounts and make sure they are stable in the account panel.
• Connect proxies if you plan to work with larger batches.
• Prepare the list of source channels where new posts should be tracked.
• Decide whether you want template comments, AI comments, or a mixed mode.

Recommended setup order

1. Add source channels

At the first stage, define where the module should watch for new posts. This setting controls the whole scenario, because the source list determines which posts will become comment targets.

2. Configure the commenting block

Set how many comments should be sent, how many accounts will participate, and how often activity should be distributed. This is the block that defines the overall speed and density of the campaign.

3. Configure the AI block

If you want comments to be more varied, open the AI tab and define the reply style. This section controls tone, wording, prompt logic, and the balance between reusable patterns and unique outputs.

4. Check statistics after the first launches

Before scaling the volume, review the statistics and logs. This helps you see whether posts are being detected correctly, whether comments are being sent, and whether some accounts should be removed from the scenario.

Main setting groups

Source channels

This block defines where the module searches for new posts. If the list is too broad, the scenario becomes noisy. If it is too narrow, volume stays low.

Comment timing

Delays and pauses affect how natural the comment flow looks. If comments appear too fast after publication, the activity looks artificial.

Account rotation

This group determines how load is spread between accounts. Rotation matters when you need a stable long-running scenario instead of short aggressive bursts.

AI logic

The AI section controls how replies are generated: tone, wording, diversity, and prompt instructions. This is the part that most strongly changes how alive the discussion looks.

Limits and safety

Limits protect the scenario from excessive speed. They should be tuned before scaling traffic.

What to check first if results look weak

• The source channel list may be too small or irrelevant.
• Delays may be too short for the type of activity you want.
• The AI prompt may be too generic, so comments sound repetitive.
• Too many accounts may be active at once for the current infrastructure.

Common mistakes

• Starting with a large volume before reviewing the first runs.
• Using the same AI prompt for completely different channel themes.
• Ignoring account rotation and timing.
• Running the module without stable proxies when the batch is large.

What to use with this module

• Audience Parser if you first need to collect channels and communities.
• Join Groups if accounts still need to enter the target ecosystem.
• Account Manager and Proxy Manager if the infrastructure is not stable yet.

FAQ

Can I open the module in the browser before installation?

Yes. You can use the interactive web preview to inspect the interface before installing the desktop app.

What is the difference between neuro commenting and comment campaigns?

Neuro commenting is better when you need replies under fresh posts with AI-assisted variation. Comment campaigns are better when you need more template-driven commenting across broader target lists.