Daily AI and ML News Digest

Overview

AI and ML coverage spreads one development across model announcements and research updates, then repeats it in product reporting. This makes a daily scan repetitive and easy to skew toward one source type. The workflow gives you one focused digest organized around model releases and research, with AI product news included and overlapping items combined before publication. Collect RSS Feeds gathers the configured feeds, Write Digest groups and summarizes the items, and Finalize Digest writes HTML and Markdown files. You can review and edit the pipeline in Trickest workflows, then schedule each issue while retaining control over sources and topic filters.

Pipeline

1. Collect RSS Feeds (collect-rss, script) reads the configured public feed URLs and writes a normalized set of AI and ML news items.
2. Write Digest (write-digest, agent) reads the collected items, combines repeated coverage, and groups selected stories into model and research topics plus product news.
3. Finalize Digest (finalize, script) turns the digest copy into HTML and Markdown files.

Inputs

• RSS feeds. Public feed URLs for AI and ML model releases, research updates, and product news. The default is the included AI and ML feed list.
• Topic filters. Optional terms for subfields such as language models, computer vision, or robotics. The default is no extra filter.

Outputs

• HTML digest. A browser-ready file with selected AI and ML stories grouped by topic.
• Markdown digest. An editable copy of the same issue for review or archiving.

Integrations

• RSS
• AI Agent

Sample output

Illustrative only. This example does not come from a real run. It shows the Markdown file structure, which the final node also writes as HTML.

finalize

# Daily AI and ML News Digest
 
## Model releases
 
### Multimodal model update adds document support
 
A model release expands the document formats available for text and image analysis.
Source: Public model release RSS feed
 
## Research
 
### Evaluation method tests long context retrieval
 
A research update describes a repeatable test for finding evidence across long inputs.
Source: Public research RSS feed
 
## Products
 
### Monitoring tool adds prompt change review
 
An AI product update adds a review step for changes to production prompts.
Source: Public product RSS feed

FAQ

Which feeds fit this digest?

Use public RSS feeds for AI and ML research, model releases, and product reporting. Mixing those source types keeps the issue focused on the field without turning it into a general technology newsletter.

Does Write Digest merge repeated AI stories?

Write Digest compares collected items and combines overlapping coverage before grouping the selected stories. You can inspect the issue before using the final files.

Can I focus on one AI subfield?

Yes. Add topic filters for the subfield you follow, or edit the Write Digest instructions to define narrower sections.

Can I schedule a daily issue?

A daily schedule fits a news digest. You can choose another cadence in the workflow settings if your source list updates more or less often.

Related workflows

• Daily Technology and Tools Newsletter is the workflow to use instead when you need broad technology, developer tool, and product coverage beyond AI and ML.
• Multi-Source Daily Briefing is the workflow to use instead when you want one cross-source narrative that connects research and reporting with community discussion.
• HN Learning Resources is the workflow to use instead when you want tutorials and reference material from discussion threads rather than current AI news.