Cognitive Edge
An AI-powered Telegram channel that gathers, credits, categorizes, and translates daily news across psychology, MBA, and tech — one curated post per topic, every day, fully automated.
The Problem
Staying current across three fast-moving fields — psychology, business/MBA, and tech — means scanning dozens of sources every day, then summarizing, translating, and crediting each one. Done by hand it's hours of work, easy to fall behind on, and impossible to keep consistent.
The Solution
Cognitive Edge is an end-to-end content pipeline that runs the whole thing on autopilot and publishes to a Telegram channel:
Gather — pulls fresh articles across the three topics from multiple sources.
Credit — keeps and attributes the original source for every item, so nothing is published uncredited.
Categorize — classifies each item by topic (Psychology · MBA · Tech).
Translate & summarize — Claude rewrites each piece into a clean, translated summary.
Publish — a Telegraf bot posts to the channel through the Telegram Bot API: one curated message per topic, per day.
n8n orchestrates the workflow on a daily schedule, and a database tracks what's already been seen so the same story never goes out twice.
Design Decisions
Telegram over a standalone app or site. The audience already has Telegram open daily — publishing there instead of building a destination app removes the single biggest adoption barrier: asking someone to install and check yet another thing.
Crediting as a hard rule, not a toggle. Every summary keeps a visible link back to its original source, enforced in the pipeline itself rather than left to manual habit. If a summary is ever imprecise, the source is one tap away for anyone who wants to verify it — the same discipline I'd want in place for any AI system that's making a claim on someone's behalf.
n8n over a hand-rolled cron script. A visual workflow tool means the pipeline stays legible and easy to extend later — adding a fourth topic, or a second delivery channel, is a matter of adding a node, not re-reading old scheduling code.
De-duplication by design, not by luck. The three source topics overlap more than you'd expect — a business story and a tech story often cover the same underlying event. The tracking database checks against what's already gone out before anything publishes, so the channel never repeats itself even when its sources do.
The Outcome
Fully automated — one curated, credited, translated post per topic, every day, with zero manual work.
Hours saved each week that used to go into reading, summarizing, and translating by hand.
Consistent publishing — the channel never misses a day and never repeats itself.
Live on Telegram: t.me/cognitivedgebyp
Building something similar? This sits under my AI & automation services — or see the B2B SaaS organic-growth project, or get in touch.
Tech Stack
AI: Claude (summarization, categorization, translation)
Automation: n8n (scheduling + orchestration), Python
Delivery: Telegram Bot API via Telegraf
Data: database for de-duplication & source tracking