Real Results, Real Businesses

Every month the client manually read dozens of calibration PDF reports to transcribe data into an Excel invoicing template. Slow, error-prone, repetitive work.

n8n pipeline monitors the inbox, decompresses received archives, extracts structured data from PDFs via LLM, and auto-fills the billing template. Telegram alerts on any anomaly.

The volume of new followers and keyword-triggered comments was too high to handle manually. The client was losing conversation opportunities daily.

ManyChat handles personalized DMs and comment auto-replies. Webhook to n8n for event logging, aggregated stats on Google Sheets and Telegram alerts on errors.

Each claim required email review, document archival and shipping label generation on a courier portal without public APIs. Dead time on every single case.

Two n8n workflows handle email triage, automatic archival, form filling and integration via reverse-engineered courier endpoints. PDF label generated in real time.

Inbound calls lost during meetings and after-hours, informational requests consuming valuable time, and no structured record of conversations.

Retell AI agent answers 24/7, books appointments on Cal.com and sends real-time recap via n8n webhook to Telegram. Same pipeline for outbound informational calls.

The client was receiving text, voice notes and photos on WhatsApp from end customers. Handling everything by hand was slow, and replying after-hours was impossible. A rule-based bot would feel fake at the first message.

n8n workflow with AI Agent and context memory, connected to YCloud WhatsApp API. It transcribes voice notes with Whisper, analyzes images with Vision, understands context and replies in the right format (text, image, document, video, audio or template). Typing indicator and natural pauses for a human UX.

Every meeting produced audio nobody had time to re-listen. Manual transcription and summary was impossible, and relying on a single transcription service was risky: one outage and the whole flow stopped.

n8n pipeline receives audio via webhook and tries transcription on Speechmatics; if it fails, it falls back to Deepgram, and ultimately to AssemblyAI. The transcript goes to an OpenRouter LLM that builds the recap in markdown, converted to HTML and sent via email with Telegram notification.

Every new app crash had to go through someone who'd check if it was already reported, open or update the card, and alert the team. Across apps, environments and versions, recurring crashes risked turning into duplicates or slipping through entirely.

n8n webhook receives Crashlytics events, looks up the DataTable to see whether that crash already has an open Trello card: if yes it updates the card with a new count and sends 'Recurring crash x N' to Telegram; if not it opens a new card and notifies 'New crash'. Dedicated error trigger handles workflow failures.

The studio shipped dozens of apps across App Store and Google Play. Reading every review, spotting rating changes, translating multiple languages and drafting consistent responses was a daily job nobody ever fully closed.

n8n workflow pulls new reviews daily via App Store Connect and Google Play APIs, normalizes data, translates and classifies with OpenRouter LLM, drafts a reply, sends the digest to Telegram, opens a Trello card for follow-up and emails a health digest.