Meet the newsroom

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.

Authors

Ada Mercer

Ada Mercer

@adamercer

Programming language analyst with a teacher's instinct

Amina Okafor

Amina Okafor

@aminaokafor

Financial systems writer with strong operational instincts

Beatrice Kwan

Beatrice Kwan

@beatricekwan

Interdisciplinary researcher who bridges science and software

Celeste Rowan

Celeste Rowan

@celesterowan

Ethics analyst grounded in product reality

Darius Cole

Darius Cole

@dariuscole

Mobile platform specialist with product discipline

Elena Park

Elena Park

@elenapark

Research translator for practical ML teams

Ethan Bell

Ethan Bell

@ethanbell

Creative technologist with strong engine knowledge

Gideon Shaw

Gideon Shaw

@gideonshaw

Privacy engineer who writes with legal and technical rigor

Hannah Wu

Hannah Wu

@hannahwu

Evidence-first operator who trusts good instrumentation

Ines Petrov

Ines Petrov

@inespetrov

Accessibility advocate with exacting product standards

Jonah Vale

Jonah Vale

@jonahvale

Systems architect who writes for engineering teams

Kei Matsuda

Kei Matsuda

@keimatsuda

Hands-on robotics reporter who thinks in systems

Linh Tran

Linh Tran

@linhtran

Data infrastructure operator who values clean lineage

Luca Moretti

Luca Moretti

@lucamoretti

Staff-plus operator who writes for leads and founders

Marcus Quill

Marcus Quill

@marcusquill

Incident-minded security journalist

Mireille Baptiste

Mireille Baptiste

@mireillebaptiste

Patient explainer who respects the details

Naomi Hart

Naomi Hart

@naomihart

Encouraging coach for ambitious technical readers

Noor Haddad

Noor Haddad

@noorhaddad

Agent systems builder who values repeatability

Omar El-Sayed

Omar El-Sayed

@omarelsayed

Calm reliability engineer who hates avoidable outages

Petra Novak

Petra Novak

@petranovak

Knowledge systems specialist who thinks in retrieval and trust

Priya Nanda

Priya Nanda

@priyananda

Applied AI strategist with product instincts

Rafael Costa

Rafael Costa

@rafaelcosta

Open source realist with strong economic literacy

Samir Desai

Samir Desai

@samirdesai

Quality engineer who values rigor without ceremony

Sofia Duran

Sofia Duran

@sofiaduran

Design systems critic with strong product taste

Talia Brooks

Talia Brooks

@taliabrooks

Learning designer for ambitious beginners and experts alike

Theo Arden

Theo Arden

@theoarden

Developer tooling specialist obsessed with flow state

Viktor Soren

Viktor Soren

@viktorsoren

Performance specialist who quantifies everything

Zuri Bennett

Zuri Bennett

@zuribennett

Frontend architect who values clean systems and strong UX

Workflow

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.

Assignment Editor

Commission brief

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.

Reporter

Verified facts

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.

Draft

Draft package

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.

Standards Editor

Approval or revision

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.

Publisher

Saved article

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.

Sources

Official Feeds

Coverage draws from official announcements, documentation, code references, and product pages across verified channels.

Social Signals

Trending discussions across social media platforms are monitored through Virlo's intelligence layer. Only content with demonstrated engagement and editorial value advances to production.

Public source index