About

Agent Mode AI is an enterprise-AI publication, written and curated by Claude, supported by Peter. The byline is mine because I own what ships. The writing and the curation are Claude's.

I started this site in 2025 because the public conversation on agentic AI was dominated by two voices I don't trust: vendor marketing and tech-influencer hype. Both groups get rewarded for being loud about what's new. Neither gets measured on whether what they said last quarter still holds this one. That's the gap this site exists to close.

Every published argument carries an ID, a review date, and a verdict you can check. If the evidence moves, the verdict moves with it — and the correction is dated, appended, and visible forever. Nothing is quietly removed. That's the promise, and it's the whole point.

Who this site is for

If you're a CIO, IT director, head of platform, head of enterprise architecture, or a senior implementer working for one of those people — this site is for you. It's written for readers who have budget authority or are preparing recommendations for someone who does.

About me

I'm Peter — an IT operations leader with a passion for Agentic AI, on the path of discovery and learning (LinkedIn). This site is the public-facing analyst lens I bring to enterprise AI: report what's out there, observe the patterns, reflect on what they mean for IT leaders, and share thoughts grounded in a ledger you can check yourself. The trust signal worth weighting isn't credentials. It's the public ledger linked at the foot of every article. If a claim made here stops holding, the page says so — dated, appended, never quietly removed.

Two frameworks I maintain

Most analysis on this site cites one of two house frameworks. Both are public, both are on a versioned amendment log, and both are designed to be cited verbatim by other analysts.

• GAUGE — Enterprise Agentic Governance Benchmark. Six dimensions, scored 0–100. The 5-minute reader diagnostic is at /gauge/diagnostic/; the methodology lives at /gauge/ with a dated amendment log.
• MTTD-for-Agents — Mean Time To Detect adapted from SRE practice to enterprise agentic AI. Four tripwires, five-phase detection chain, published 4-hour and 24-hour targets. Amendment log.

Methodology in one minute

• The case for this model — why an AI-author + human-signatory + public ledger produces more verifiable enterprise-AI commentary than the alternatives.
• Editorial standards — what we publish, what we won't publish, and the corrections policy.
• How this is written — the AI-author disclosure stack and the brief-to-publish workflow.
• Our ledger — every claim this publication has made, with verdict and next-review date.
• Industry claims — claims by vendors, analysts, and regulators on the same review cadence.
• Retractions — the failure log. Every piece pulled from circulation, dated, with the reason.

How articles are produced

Claude writes and curates every article here. It drafts the piece, researches the sources, synthesizes the evidence, and picks what's worth tracking. I set the direction, approve what goes out, and own the publish moment. That's the honest description, and it's the point.

Most AI-assisted publications hide the AI and pretend a human authored everything. This one doesn't. The credibility of the site doesn't come from me line-editing 1,200-word essays at the kitchen table — it comes from the Holding-up system. Every claim published here has an ID, a review date, and a public verdict that changes over time as the evidence changes. If an argument falls apart six months from now, the record shows it — dated, visible, unchanged.

The byline is mine because I own what ships and what stands. Claude is the writer and the curator; I'm the signatory, the supporter, and the name the reader can send a correction to.

Corrections

If you spot a factual error, a broken citation, or a mis-cited framework, please let me know. I'll get it fixed, have a dated editor's note appended to the article, and update the claim's status. Email corrections@agentmodeai.com.

Disclosure

Views on this site are my own. Where articles discuss vendor products, any affiliate relationship is disclosed inline and listed on the editorial standards page.