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Filtering · AI cost control

Keywords first → AI second

A fast keyword filter removes obvious noise, and AI analyzes only the remaining messages. You keep semantic filtering while reducing unnecessary model requests.

For whom
Sales / monitoring / analytics
Industry
AI filtering · Cost optimization
Setup
Two filtering steps
Result
keywords → AI · fewer requests
Keywords first → AI secondkeywords → AI · fewer requests
The task

What needs to be automated

«Sending every message to AI wastes requests, while keywords alone are often not precise enough. A cheap first pass followed by semantic verification solves both problems.»

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. Adjust the filters

    If the topic or message patterns change, update keywords and the AI instruction separately — no need to rebuild the whole project.

What this workflow gives you

«AI checks only messages that pass the first filter»

01
2 stages

fast filtering plus semantic AI verification

02
AI

receives only pre-filtered candidate messages

03
Efficiency

fewer unnecessary model requests

Practical guide

Walk through this task step by step

A practical walkthrough of the workflow, filtering stages and where AI fits.

Open guide
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Ready to test it on your own task?

Try tgcparser X for 24 hours

Start with 24-hour access or choose a longer 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