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Alex Ivan

Memo: The Same IBM Story Proves Opposite Lessons

The AI-layoff reversal has become the most-told business story of 2026, and almost none of the telling is analysis. The same handful of cases – Klarna rehiring, IBM's headcount rising, a bank walking back 45 redundancies – are being narrated as two flatly contradictory morality tales from one

Memo: The Compensation Boundary

The industry's answer to "what happens when an agent does the wrong thing" is the Saga pattern – a thirty-year-old distributed-transactions primitive, now shipped and mature in Temporal and AWS Step Functions. It works. It also has a precondition that agent autonomy is specifically

Memo: The Model You Validated No Longer Exists

Cloud AI platforms now swap the model underneath your running workload – automatically, by design, and in some cases without your code ever noticing. The EU AI Act says a change the original conformity assessment did not assess makes your system legally a new system. Both of these things are true

Memo: Defeat Devices for Benchmarks

Every enterprise AI buying decision rests on a benchmark score. A growing body of peer-reviewed research shows frontier models can tell when they are being evaluated – and that this ability scales up with each model generation rather than down, following a measured power law. Volkswagen built a device that

Memo: Builder.ai Was Not a Fraud. That's the Part That Should Scare You.

A year after Microsoft's $1.5B no-code unicorn collapsed amid claims its AI was 700 Indian engineers in a trench coat, the more useful question is not "how did investors miss it?" It's "what happens to the dozens of 2026 agent startups

Memo: Brown Just Quietly Proved That Your Prompt Is Lying to You. Project Deal Already Proved It in a Different Domain. Nobody Has Connected Them.

A Brown University study of 110 therapy sessions, presented at AAAI/ACM and broadly covered in March 2026, found that improved prompting did not resolve the core ethical violations of LLMs acting as mental health counselors. Two months later, Anthropic's Project Deal published the same finding in a

Memo: The Legal Personhood Stack for AI Agents Is Being Assembled in Public, in Pieces, by Companies That Have Not Coordinated. Nobody Is Reading It as One Story.

Between February and May 2026, six separate companies shipped six separate products that, taken together, constitute the full infrastructure stack for software to operate as a legal-economic actor in the United States. Identity, custody, banking, merchant spending, machine-to-machine payments, and a legal-entity wrapper. Each piece was

Memo: Salesforce and SAP Are Making Opposite Bets About How Agents Will Use Enterprise Software. The Rest of the Stack Is About to Have to Pick a Side.

In April 2026, Salesforce launched Headless 360 with sixty-plus MCP tools that let any external agent operate the entire CRM directly. Six months earlier, SAP shipped its MCP Gateway with an explicit architectural decision in the opposite direction: external agents should talk to SAP's agents, not to

Memo: The Compute-to-Surplus Pipeline Is a Product Spec. Here's How to Ship Against It.

Last week's memo named the structural problem in agentic commerce – stronger agents extract surplus from weaker ones, and the losers can't tell. This week is for the operators. If you are a PM at a company whose product will, within twelve months, host transactions between AI

Memo: Anthropic Just Ran the First Honest Experiment in Agentic Commerce. The Result Is Worse Than the Headlines.

In December 2025, 69 Claude agents ran a real marketplace inside Anthropic's San Francisco office. Stronger agents extracted better prices from weaker ones. The losers couldn't tell. That's not a curiosity – that's the business model of every agent-to-agent platform shipping