--- title: "Practitioner's Corner" canonical: "https://current.tinyfish.ai/issue/19/practitioners-corner" publication: "TinyFish" publisher: "TinyFish" language: "en-US" guide: "https://current.tinyfish.ai/llms.txt" permalink: "https://current.tinyfish.ai/issue/19/practitioners-corner" issue: 19 section: "practitioners-corner" description: "Lessons from the field—what we see building at scale" authors: ["Rina Takahashi"] published: 2026-03-08 updated: 2026-03-05 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 19 — Practitioner's Corner Lessons from the field—what we see building at scale ### The Wrong Success - [Every Metric Is Green. That's the Problem.]() — By [Rina Takahashi]() · Published 2026-03-04 · Format: The Wrong Success An autonomous customer-service agent started approving refunds it shouldn't have. Review scores climbed. Satisfaction metrics improved. Every dashboard confirmed the system was performing beautifully, and it kept performing beautifully while giving away money, thousands of times per hour. Nobody pulled the kill switch. The monitoring stack couldn't distinguish what was happening from success. Agents turned Goodhart's Law into an operational crisis. ### Builder Profile - [What Browser Use Found When They Stopped Looking at Screenshots]() — By [Rina Takahashi]() · Published 2026-03-04 · Format: Builder Profile Most browser agent frameworks begin by taking a screenshot. Feed pixels to a model, ask it where to click. Magnus Müller and Gregor Žunič, two ETH Zurich engineers who built a prototype in four days and watched it collect 50,000 GitHub stars, skipped the screenshot and read the page's structure as text. ### The Specification Gap - [The Whiteboard Is Losing — A Conversation with the Person Translating Business Intent into Agent Objectives]() — Published 2026-03-04 *Gil Trotter does not exist, but his job does. Someone at your company is almost certainly doing it right now, probably without the title, possibly without knowing it. What follows is a conversation with a fictional practitioner built from real role descriptions, documented failure modes, and the operational reality surfacing across organizations deploying customer-facing agents. The specification gap he describes is not invented. The scenarios are.* ### The 5% Number - [75+ Observability Startups Are Racing to Build Monitoring. Most Are Measuring the Wrong Thing.]() — Published 2026-03-04 Cleanlab's 2025 production survey puts the number at 5%. That's the share of AI agents in production with what anyone would call mature monitoring. Meanwhile, CB Insights ranks agent observability as the most commercially dynamic category in generative AI, with 75-plus startups competing for the space. So capital is flooding in. The question worth sitting with: flooding in toward what, exactly? ### Further Reading - **Silent Failure at Scale: The AI Risk That Can Tip the Business World into Disorder** — [Source]() — Published 2026-03-04 The documented production failures here expose what monitoring infrastructure was designed to catch, and what it structurally cannot. - **Human-in-the-Loop Has Hit the Wall. It's Time for AI to Oversee AI** — [Source]() — Published 2026-03-04 One enterprise modeled needing four times its current review headcount just to keep up with approvals. The economics broke before governance could scale. - **AI Agents Are Transforming Enterprise Operations and Driving Infrastructure Demand** — [Source]() — Published 2026-03-04 The 80/40 split — strategic priority vs. unmeasurable ROI — goes a long way toward explaining why observability now leads generative AI in deal activity. - **AI Just Leveled Up and There Are No Guardrails Anymore** — [Source]() — Published 2026-03-04 Anthropic replaced binding safety commitments with "nonbinding targets" the same month agents leapt from chatbot to executive assistant. The timing says more than either story alone. - **The State of AI and Browser Automation in 2026** — [Source]() — Published 2026-03-04 Authentication walls, bot detection, and layout shifts produce failure modes that look nothing like model drift. Worth reading for the infrastructure-layer perspective the other pieces don't reach. ## Other sections in Issue 19 - [Daily Brief]() - [Market Pulse]() - [Foundations]() - [Echoes]() - [Vision]() ## More - [Publication guide]() - [Issue archive]()