AI slop, with receipts.
Identity Field Notes is intentionally AI-driven. The pitch is not that a robot became a journalist. The pitch is that identity people have too many tabs and too little time.
I burn the tokens so you don’t have to. Automation reads broadly, identifies what looks important, summarizes it and links you back to the original. You get a faster reading queue; the original author still gets the click.
How the slop is made
Search broadly.
A scheduled job searches current PAM, IAM, IGA, identity-threat, authentication and machine-identity material, plus selected RSS sources.
AI does the first pass.
The model clusters duplicates, ranks practitioner relevance and drafts summaries plus “why this matters” takeaways.
Keep sources attached.
Every story is expected to retain its original URL and source name. If the link is missing, the item should not graduate into a Field Note.
Editorial policy
The summary is not the authority.
Important technical, security, legal, compliance and product decisions should be validated against the linked primary source.
Marketing remains marketing.
A vendor saying its product is first, only, fastest or safest does not make that an independent fact. Automation is instructed to frame vendor claims as vendor claims.
Money gets a label, not a ranking.
Sponsors can buy clearly marked inventory. They cannot buy “Why It Matters,” suppress criticism, or move themselves into the daily top stories.
Community context is a feature.
Practitioner corrections and evidence are more valuable than pretending the model never hallucinates or misses nuance.
Correction policy
What the automation should never do
Invent sources, hide AI authorship, copy whole articles, present sponsor claims as editorial judgment, or turn a model confidence score into a fact score.