tgcparser.
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Filtering · AI cost control

Keywords first — AI second

A fast keyword pass removes obviously irrelevant messages, and AI analyzes only the remaining candidates. You keep semantic filtering while reducing unnecessary AI requests.

For whom
Sales / monitoring / analytics
Industry
AI filtering · Cost optimization
Setup
One filter cascade
Result
keywords → AI · fewer requests
Keywords first — AI secondkeywords → AI · fewer requests
The task

What needs to be automated

«Sending every message from active sources to AI wastes requests on obviously irrelevant content. Keywords alone, however, are often not precise enough for semantic filtering.»

Solution

How tgcparser X handles it

  1. Step 1. Define base keywords

    Choose words and phrases that quickly remove messages clearly unrelated to your task.

  2. Step 2. Add exclusions

    When useful, add stop words to remove ads, provider offers or other known noise before AI is called.

  3. Step 3. Add AI filtering

    Only messages that pass the first filter are sent to AI for meaning, intent and relevance evaluation.

  4. Step 4. Keep only messages that pass both stages

    The final result can be published, delivered as a notification or saved to CSV/TXT.

  5. Step 5. Tune each stage independently

    As the source stream changes, adjust keywords and the AI instruction separately without rebuilding the whole project.

What this workflow gives you

«Two-stage filtering reduces the amount of AI analysis without giving up semantic checks»

01
2 stages

fast filtering plus semantic AI verification

02
AI

receives only pre-filtered candidate messages

03
Efficiency

fewer unnecessary model requests

Other workflows
SMM · Analytics

20 competitor channels — one structured report

tgcparser collects posts and available metrics from selected channels for a chosen period, helps filter the dataset, and saves the result to CSV/TXT for further analysis.

Explore workflowLead generation · AI

One AI request instead of a long keyword list

Describe what a relevant message looks like. tgcparser monitors selected sources, AI evaluates meaning and intent, and matching results are saved with context and a source link.

Explore workflowChannel network · Autoposting

Multiple channels and projects — one control layer

Split different channels and jobs into projects with their own sources, processing, schedules, Telegram/MAX accounts and destinations. Each project runs independently while management stays in one system.

Explore workflow
Ready to test it on your own workflow?

Try the full functionality for 24 hours

Start with short access or choose a long-term plan right away. If you want help with setup, choose the “Done for you” option.

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Full functionality · 24 hours · 990 ₽ · no auto-renewal