Case study 14 / 18 · Tools

n8n tech digest

Status: First phase built; awaiting configuration and testing

An automation project designed to collect AI and technology news, remove duplicates, and turn selected stories into a readable daily brief. The documented first phase builds the ingestion and Telegram-delivery workflow, with NotebookLM study outputs planned for later phases.

Case study

A news pipeline in which several sources feed into scoring, AI-assisted editorial processing and a daily digest. The first phase, an n8n workflow that delivers to Telegram, is kept separate from later phases for a daily study pack and NotebookLM.

The problem

Cut down the manual work of checking several sources, sorting out repeated stories and putting together a focused brief to read and study.

What was built

Phase 1 workflows and scripts for collecting sources, scoring stories, removing duplicates and delivering to Telegram.
A two-stage Gemini design: enrichment for each story, then a daily synthesis.

Key decisions

Stories are ranked on several relevance and impact dimensions, not just recency.
Duplicates are removed before the digest is written.
A single daily pack is the intended handoff between delivery and study tools.
NotebookLM integration is staged separately from the first workflow.

Where it stands

Phase 1 is built and waiting for credentials and a first manual test run. A Markdown daily pack, manual NotebookLM upload and then browser automation are planned next.