About Particle Post
Particle Post is a twice-daily publication that helps business leaders understand how AI changes the way companies operate. We cover implementation strategies, operational decisions, and the business impact of AI — written clearly enough for global executives reading in any language.
We focus on what actually moves inside companies: budget decisions, vendor contracts, risk frameworks, and the measurable outcomes of real deployments. We publish analysis of enterprise case studies, regulatory developments, and the quantitative benchmarks that CFOs, CTOs, and operations leaders need to make decisions with conviction. We do not cover consumer AI products, speculative benchmarks, or the hype cycle around model releases unless a specific enterprise outcome is attached to it.
Every briefing is written for readers who have fifteen minutes and a decision to make. We lead with the point, supply the evidence, and close with the action. Where a claim depends on a specific source — an SEC filing, an earnings call, an agency publication — we cite it inline so the reader can verify.
Two briefings. Every business day.
Morning Briefing
The essential AI developments, implementation case studies, and strategic signals you need before your first meeting.
Evening Wrap
End-of-day analysis on what moved, what it means for your organization, and what to prepare for tomorrow.
Built for executives who build.
Our readers are CEOs, CTOs, COOs, and senior operators at companies deploying AI — not just observing it. Many read in a second language, so we write with clarity as a first principle: short sentences, active voice, concrete examples.
Across the subscriber base we see product leaders at SaaS companies, treasury teams at global banks, fund managers allocating capital to AI themes, and senior operators at industrials working through automation roadmaps. What they share is accountability — they own budgets, ship deployments, or sit on steering committees that answer to boards. The publication is built around the decisions those readers actually make each quarter.
What we publish, and what we don't.
Every article goes through a multi-step editorial review covering source verification, readability, and structural compliance before publication. We cite primary sources — earnings calls, SEC filings, agency publications, peer-reviewed research — whenever a claim depends on a specific figure. Secondary analyses are labeled as such. Paywalled research is cited when it is the authoritative source, with a note so readers know additional access is required.
We do not publish sponsored content, affiliate links, or vendor- written coverage. Corrections are issued transparently and dated. If a reader finds a factual error, email the address below and we will publish the correction with attribution within one business day where possible.
A small editorial team. Three desks.
Particle Post is curated by a small editorial team. William Morin sets editorial direction and edits the morning briefings. Marie Tremblay leads research for our weekly deep dives and case studies. Alex Park runs the implementation desk for our how-to guides and technology profiles.
Our curators use modern research and writing tools to keep up with the volume of AI news and case studies our audience needs. Every published piece is reviewed and signed off by the curator named on the byline.
Get in touch
For press inquiries, partnerships, or feedback: contact@theparticlepost.com