Hi anon, if you're losing hours every week to the same manual work,
You're at the right place.
I build custom n8n automations that remove those tasks entirely.
The result is a clean calendar, faster execution, and streamlined operations.
Upload package invoices. Key data is extracted and matched against original order invoices. Valid matches are verified and closed. Only mismatches or missing data are flagged for review.
Messages, voice notes, files, and images come in through Telegram. The system understands intent and handles the task automatically. Files are processed, emails are sent, calendars are updated, and content is stored without switching tools. Telegram becomes the control layer for day-to-day operations.
Content is pulled from a database, images are generated and validated, captions are written, and posts are published on a schedule. Failed generations retry automatically. The account stays active without manual posting or daily oversight.
High-performing competitor Reels are collected and transcribed automatically. Engagement data is analyzed to generate content drafts. This removes manual competitor research from the content creation workflow.
Orders are processed automatically after purchase. Duplicates are prevented, totals are calculated correctly, confirmation emails are sent with a personalized message, and internal systems are updated. Teams are notified only when needed, keeping order handling reliable without manual intervention.
Branching logic, loops, retries, error handling, and data transformations to support non-trivial business operations and edge cases.
Direct REST API integrations using authenticated HTTP requests, webhooks, pagination handling, and custom data mapping when native nodes are unavailable.
Embedding LLMs such as GPT, Gemini, and Claude within n8n workflows for classification, decision-making, content generation, and intent detection.
Designing data flows between applications and SQL databases, including normalization, deduplication, state tracking, and reliable handling of high-volume transactional data.
Building Telegram bot interfaces for n8n workflows, including command routing, message and file handling, and workflow-triggered actions for operational use.
Using Apify Actors to scrape data from social platforms, manage pagination and rate limits, and deliver normalized outputs into downstream automation workflows.
Tell me about your workflow. I’ll reply with an automation plan and next steps.
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