Field Notes.

Every founder exploring automation eventually asks the same practical question: if we hire an outside provider to run our AI workflows, what does my team actually stop doing?

Kurt Fischman · Nov 9, 2026

When founders look for ways to accelerate their companies with artificial intelligence, they usually start by handing their staff a general-purpose chat prompt. The pitch sounds compelling: an...

Kurt Fischman · Nov 3, 2026

In most companies generating between $1M and $10M in revenue, an expensive ritual unfolds every morning. A project coordinator or operations lead opens four or five browser windows: the shared...

Kurt Fischman · Nov 2, 2026

When software automates customer conversations, invoice processing, or intake qualification, it feels like permanent leverage. A repetitive administrative task that used to consume twenty hours a...

Kurt Fischman · Oct 9, 2026

Over the past two years, almost every founder running a $1M to $10M company has handed generative AI tools to their staff. You bought seats for chat interfaces, added AI writing assistants to your...

Kurt Fischman · Sep 14, 2026

Multi-step agent workflow evaluation is a spending decision disguised as a test suite. The unit under test is never the model alone; it is the harness plus the model, meaning the scaffold that holds...

Kurt Fischman · Aug 24, 2026

Nothing about a deployed chatbot upgrades into an agent, which is why the promotion usually arrives as a rebuild disguised as a rename. A chatbot is scoped to a conversation: it matches an incoming...

Kurt Fischman · Aug 18, 2026

> An AI agent implementation playbook is the ordered sequence that moves an agent from a chosen use case to trusted, unsupervised production. Its seven stages (scope, score, design, build, evaluate,...

Kurt Fischman · Jun 22, 2026

> AI agent evaluation is the testing discipline that decides whether an agent can be trusted to own a business workflow. It runs on three surfaces: reliability (does the agent complete the job),...

Kurt Fischman · Jun 10, 2026

> Choosing the right AI agent use case means passing each candidate workflow through three gates in order: value (is the job worth owning), risk (can the business afford the worst day), and...

Kurt Fischman · Jun 10, 2026

> Designing an agentic workflow means specifying five stages in order: intake (the trigger and the inputs), reasoning (the decision and its limits), action (what the agent may write and where),...

Kurt Fischman · Jun 8, 2026

An AI Agent System is the productized operational layer that wraps one or more AI agents, the automation underneath them, the governance around them, and the integrations into a company's real...

Kurt Fischman · May 26, 2026