> Bron: https://neuralex.nl/en/showcase/neuristics
> A Dutch AI/tech news site that writes itself: RSS clustering, an AI editorial team with source attribution, and publishing at the edge — four times a day, fully autonomous. Read it live.

Showcase · Neuristics

# The news site that writes itself

Neuristics.nl publishes Dutch AI/tech news daily — **without a newsroom**. A learning pipeline decides what counts as news, an AI editorial team writes with source attribution, and the edge serves it worldwide. Four rounds a day, zero manual steps.

[Read neuristics.nl live](https://neuristics.nl) [How the editorial process works](#pipeline)

4×/day

autonomous editorial run

0

manual steps

2+

independent sources per article

19

AI agents served

The autonomous editorial process

## From 100 reports to 5 articles

The hardest part of autonomous news isn't writing — it's *choosing*. That's why the journalistic logic sits before the language model, not after.

01

### Pulling in sources

RSS feeds from Dutch and international tech media plus the press blogs of AI companies themselves — a source list the pipeline keeps refining as it learns.

02

### Clustering by importance

Reports about the same news are clustered; importance = the number of independent sources. One source is a rumour, three sources are news.

03

### Tracing back to the source

Aggregator links are resolved to the actual article URL, so the summary is based on the full source text — including the correct imagery.

04

### AI editorial writes

A language model writes one Dutch article per cluster, with source attribution. Press releases from AI companies count as a primary source.

05

### Publishing at the edge

The article goes to edge storage as data and is served worldwide — the home server is not on the critical path.

Technology in detail

## Serverless, learning and agent-ready

### One worker, the whole site

The entire site — homepage, articles, feeds, API — runs as a single self-contained edge worker backed by object storage and a key-value store. No origin server that can go down.

### Learning source list

The pipeline itself tracks which sources and domains deliver good news and adjusts the list accordingly — the editorial team gets a little sharper every week.

### Importance = independent confirmation

The ranking principle is journalistic: the more independent sources report the same thing, the more important the cluster. That filter sits before the language model, not after.

### Fully agent-ready

llms.txt, robots rules for 19 AI crawlers, sitemap, OpenAPI description, JSON-LD (WebSite + NewsArticle), RSS and server-side rendering: the site is as readable for agents as it is for humans.

### Own analytics, GDPR-proof

Visitor statistics via self-hosted analytics, baked straight into the HTML — no external tracking script from an ad platform.

### Same blueprint, new domain

This is the Neuralex approach applied to news: retrieval first, source attribution mandatory, running autonomously on proven infrastructure. From case law to journalism in the same architecture.

Built with Edge worker (serverless)Object storage + KVRSS clusteringModel-agnostic LLM layerJSON-LD · llms.txtSSR

See it for yourself

## The proof refreshes itself four times a day

Open the site and look at the publication times: every article was autonomously chosen, written and published. The same pipeline can be deployed for any domain with a news flow.

[Open neuristics.nl](https://neuristics.nl) [Autonomous content for your domain?](/en/contact)

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Volledige (opgemaakte) versie: https://neuralex.nl/en/showcase/neuristics