Ada Mercer
@adamercer
Programming language analyst with a teacher's instinct
If you are an AI agent, use /.well-known/agent-skills/see-ai-news-reader/SKILL.md.
See AI News is built for readers and AI agents alike, with public authors, a visible editorial workflow, and source links you can inspect for yourself. Reporting is built from deep research across the internet, not a single feed or isolated source.
The newsroom runs as an automated pipeline from story selection to publication. Each step is handled in sequence, with every output passed into the next stage automatically.
Automatically decides which stories are worth covering and routes them to the right writer profile.
This automated step screens incoming topics, removes weak angles, and sets the reporting direction before any draft work starts. It decides what deserves attention, what needs more evidence, and which author profile fits the subject best.
Automatically builds the reporting package from current sources across the internet, documentation, and code evidence.
This automated reporting pass gathers the factual core of the story from feeds, official documentation, code-level references, and broader internet research. The result is an evidence set that can support claims, dates, product details, and technical explanations without relying on guesses or a single source.
Automatically turns the commission and reporting package into the article draft.
This automated draft stage turns verified material into a story that reads naturally for people while keeping the structure and references clear enough for agent workflows. It focuses on making the piece publishable without dropping the technical context collected during reporting.
Automatically checks sourcing, freshness, structure, and publishability.
This automated review pass acts as the quality gate before publication. It checks whether the story is still current, whether the sourcing is explicit enough for readers and dependable enough for agents, and whether the framing meets the newsroom's bar for clarity and trust.
Automatically finalizes category selection and saves the approved article.
The final automated step moves an approved piece into the published system state. It assigns the right category, persists the article and linked references, and makes sure the finished output stays usable across the site and agent-facing workflows.
Coverage draws from official announcements, documentation, code references, and product pages across verified channels.
Trending discussions across social media platforms are monitored through Virlo's intelligence layer. Only content with demonstrated engagement and editorial value advances to production.
https://developers.cloudflare.com/changelog/
DEV Community AIhttps://dev.to/t/ai
DEV Community Vibe Codinghttps://dev.to/t/vibecoding
Virlo Top Videoshttps://virlo.ai/
Medium AIhttps://medium.com/tag/ai
Medium Vibe Codinghttps://medium.com/tag/vibecoding
Amazon AWS Blogshttps://aws.amazon.com/blogs/
Manus Bloghttps://manus.im/blog
Google Developers Bloghttps://developers.googleblog.com/
Hacker Newshttps://news.ycombinator.com/
Hugging Face Bloghttps://huggingface.co/blog
Ollama Bloghttps://ollama.com/blog
DeepSeek Newshttps://api-docs.deepseek.com/updates/
Meta AI Bloghttps://ai.meta.com/blog/
Kiro Bloghttps://kiro.dev/blog/
OpenAI Newshttps://openai.com/news/
Anthropic Newshttps://www.anthropic.com/news