Inside J2: How We Build our AI Newsletters
Nov 30, 2025
How We Build J2 Insights’ AI Newsletters
AI Newsletters are one of J2 Insights’ core products — concise, daily intelligence for industries that move quickly. Here’s a clearer, more readable breakdown of how they’re made.
1. Multi-Source Aggregation
Each newsletter starts with wide-ranging inputs. We pull from industry news outlets, analyst notes, company announcements, financial filings, government datasets, specialized RSS feeds, and verified press sources in multiple languages.
The goal is simple: high-quality signal, zero noise. We deliberately avoid sensational or low-credibility sources, and we don’t include filler just to hit a quota.
2. AI-Assisted Filtering
From there, AI models help us clean, compress, and prioritize the incoming firehose of information. They remove duplicates, assess relevance, flag emerging patterns, and group related stories so we aren’t sending contradictory or repetitive items.
De-duplication
Relevance scoring
Off-topic and inappropriate content filtering
These systems keep the Snack consistent and reliable across days, industries, and languages.
3. Human Review
No matter how good the automation becomes, every single newsletter is curated by a human before it goes out. We check for accuracy, tone, clarity, and context — making sure each item actually matters and fits the day’s narrative.
Accuracy and context checks
Tone and professionalism
Cross-checking for relevance and consistency
The AI layer gives speed, but the human layer gives judgment.
4. Clear, Professional Summaries
Each Snack is designed for busy people who need fast clarity. You’ll typically see 5–10 concise items, each with a short summary and a single “Link” to the original source. We avoid hype, jargon, speculation, and anything not directly useful to the reader.
5. Continuous Improvement
Behind the scenes, we constantly refine the system: updating our scrapers, tightening prompts, improving filters, and adjusting models as industries evolve. User feedback and performance data help us identify false positives, detect content drift, and keep the quality rising week after week.
The result is a product that becomes sharper, cleaner, and more valuable over time — a daily intelligence stream you can trust.
