--- title: "Practitioner's Corner" canonical: "https://current.tinyfish.ai/issue/18/practitioners-corner" publication: "TinyFish" publisher: "TinyFish" language: "en-US" guide: "https://current.tinyfish.ai/llms.txt" permalink: "https://current.tinyfish.ai/issue/18/practitioners-corner" issue: 18 section: "practitioners-corner" description: "Lessons from the field—what we see building at scale" authors: ["Rina Takahashi"] published: 2026-03-02 updated: 2026-02-26 articles: 9 --- # TinyFish > CURRENT is a journal about AI agents in production, for the engineering and product leaders who have to make them work. Drawing on experience building enterprise web agents, it explains why the demo succeeded and the deployment didn't, and what that means for choosing vendors, briefing the board, and avoiding mistakes others have already made. [Read on the website]() ## Issue 18 — Practitioner's Corner Lessons from the field—what we see building at scale ### Designing for Distrust - [Reading an Architecture as an Argument About Failure]() — By [Rina Takahashi]() · Published 2026-02-25 · Format: Designing for Distrust During their January 2026 Launch Week, Skyvern shipped a feature that lets users upload a PDF of a human standard operating procedure and have an AI agent build a workflow from it. A procedure manual written for people, fed directly to a machine. It's a revealing choice, and what it compensates for runs through the rest of the architecture. ### The Binding Constraint - [The Math That Quietly Decides Which Agent Workflows Survive]() — By [Rina Takahashi]() · Published 2026-02-25 · Format: The Binding Constraint A single step succeeds 95% of the time. Chain twenty of those steps together and the workflow completes 36% of the time. No individual component failed. Multiplication just compounded what looked, at each decision point, like a rounding error. ### Following the Math - [The SRE Whose Dashboards Were Green While Everything Was Wrong]() — Published 2026-02-25 *Dag Failover is, by his own admission, a name that has caused problems at every company he's ever worked for. "My first week at Google, three people asked if it was a handle," he says. It is not. It is, apparently, a corruption of a Norwegian surname that his great-grandfather decided not to correct at Ellis Island because he thought it sounded "more American."* ### The Measurement Gap - [Agent Observability Has a 37-Point Blind Spot Between "Did It Run?" and "Did It Work?"]() — Published 2026-02-25 Among organizations running agents in production, 89% have observability in place. Only 52% run evaluations of any kind. That 37-point spread is a confidence gap masquerading as coverage. ### Further Reading - **State of Agent Engineering** — [Source]() — Published 2026-02-25 Primary survey of 1,340 practitioners surfaces a striking disconnect in production agent systems. - **The Agentic AI Infrastructure Landscape in 2025–2026** — [Source]() — Published 2026-02-25 The "march of nines" framing sharpens why compound reliability degrades faster than model capabilities improve. - **State of AI Agents 2026: 5 Trends Shaping Enterprise Adoption** — [Source]() — Published 2026-02-25 Anthropic-sourced data on where multi-step agent workflows actually stall in enterprise settings. - **AI Deployments Gone Wrong: The Fallout and Lessons Learned** — [Source]() — Published 2026-02-25 A catalog of high-profile AI failures that reveals how governance gaps compound into system-level breakdowns. - **Web Scraping Proxies in 2026: Higher Demand, Higher Spend** — [Source]() — Published 2026-02-25 Primary survey data on the anti-bot arms race and its rising, often unmodeled, operational costs. ## Other sections in Issue 18 - [Daily Brief]() - [Market Pulse]() - [Foundations]() - [Echoes]() - [Vision]() ## More - [Publication guide]() - [Issue archive]()