AI Summarization
Prompt contracts, evidence-linked outputs, verification, and evaluation methods for dependable AI feed summaries.
2 guidesImplementation journal
Ten complete guides for building AI feed summaries from RSS, Atom, JSON Feed, news APIs, articles, PDFs, Markdown, and selected websites.
Topic archives
Follow one layer of the feed summary stack or move through the complete source-to-briefing path.
Prompt contracts, evidence-linked outputs, verification, and evaluation methods for dependable AI feed summaries.
2 guidesRSS, Atom, JSON Feed, identity, content representation, dates, links, and normalization for downstream AI work.
2 guidesNews APIs, article services, web extraction, deduplication, clustering, ranking, and operational controls.
3 guidesPDF and Markdown workflows that preserve page, section, table, code, and source-boundary context.
2 guidesAgentic news monitoring with bounded tools, event-driven updates, review gates, and deterministic publishing.
1 guideFeed Signals
Each article contains a complete workflow, one authoritative external reference, internal cross-links, and a custom 1200 × 1200 editorial image.
An architecture for agentic AI news summaries that uses clear tool boundaries, event-driven updates, provenance, and human review gates.
Create prompt templates that keep feed summaries consistent across sources, models, topics, lengths, and editorial use cases.
A responsible website-scraping workflow for generating feed summaries from pages that do not publish usable RSS, Atom, or JSON feeds.
Learn why Markdown is useful for feed summary pipelines and how to preserve headings, lists, links, code, and document boundaries.
A reliable PDF-to-AI feed summary workflow for reports, research papers, filings, manuals, and other long documents.
Design an article summarizer API with stable inputs, structured outputs, citations, length controls, and transparent failure modes.
Plan a news API feed summary pipeline that retrieves relevant articles, groups duplicate coverage, and produces traceable daily briefings.
A developer-focused comparison of RSS, Atom, and JSON Feed for ingestion, normalization, and AI feed summary systems.
A step-by-step RSS feed summary guide covering discovery, parsing, normalization, deduplication, extraction, and summary quality checks.
Design an AI feed summary pipeline that keeps source context, separates facts from inference, and produces useful briefings instead of generic blurbs.