--- title: "Practitioner's Corner" canonical: "https://current.tinyfish.ai/issue/28/practitioners-corner" publication: "TinyFish" publisher: "TinyFish" language: "en-US" guide: "https://current.tinyfish.ai/llms.txt" permalink: "https://current.tinyfish.ai/issue/28/practitioners-corner" issue: 28 section: "practitioners-corner" description: "Lessons from the field—what we see building at scale" authors: ["Rina Takahashi"] published: 2026-05-11 updated: 2026-05-07 articles: 10 --- # 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 28 — Practitioner's Corner Lessons from the field—what we see building at scale ### The Body Problem - [The Body Problem]() — By [Rina Takahashi]() · Published 2026-05-06 · Format: The Body Problem Before an AI agent processes a single webpage, anti-bot systems have already judged it. The evaluation is about identity: TLS fingerprints, mouse acceleration curves, behavioral cadence. When the verdict is "bot," the response is often not a block. It's false data served silently. Modified prices, ghost inventory, plausible but wrong. ### Builder Profile - [What Suchintan Singh Found When He Left ML Platforms for the Open Web]() — By [Rina Takahashi]() · Published 2026-05-06 · Format: Builder Profile Suchintan Singh built ML infrastructure at Faire and Gopuff. Feature stores, ranking systems, search engines. Controlled environments where the data was yours and the system behaved as designed. Then he co-founded Skyvern, a browser automation company, and discovered where the engineering hours actually go. Roughly 60% of the work goes to getting past the door: anti-bot systems, CAPTCHA, 2FA, residential proxies. The agent reasoning was the part his career had already prepared him for. ### The Unnamed Role - [Talking to the Woman Who Keeps Two Hundred Robots From Getting Caught]() — Published 2026-05-06 *Every enterprise deploying browser agents at scale has someone like Mags Kettleburn. You just can't find them on an org chart. Kettleburn is a systems engineer at a large U.S. retailer, where she manages the proxy configurations, fingerprint profiles, and session infrastructure that keep several hundred browser agents running against competitor sites. Her official title is "Data Infrastructure Engineer." Her actual job is making sure the company's automated pricing intelligence doesn't get blocked, poisoned, or silently broken.* ### What Agents Face - [The Body Scanner: Six Layers of Anti-Bot Detection Running Simultaneously]() — Published 2026-05-06 Think of it as a full-body scanner. Amazon's 2026 anti-bot system evaluates six layers at once, continuously, from the first TCP SYN packet through every scroll and click: IP reputation and ASN analysis, TLS fingerprinting (JA3/JA4), browser environment detection, behavioral biometrics, CAPTCHA challenges, and ML-driven anomaly detection. ### Further Reading - **WebMCP Is Available for Early Preview** — [Source]() — Published 2026-05-06 Primary source on the cooperative-web specification. Two new APIs, a registration mechanism, and no trust model — read the gap between what's declared and what's enforced. - **The Enterprise AI Playbook: Lessons from 51 Successful Deployments** — [Source]() — Published 2026-05-06 Empirical study of deployments already in production. The invoice automation case alone, where seven employees maintained redundant templates nobody had mapped, illustrates why technology was consistently the easy part. - **State of Web Scraping 2026: Trends, Challenges & What's Next** — [Source]() — Published 2026-05-06 Written from inside the infrastructure layer, this maps the three pressures pushing browser automation toward managed cloud environments. Useful for understanding why consolidation is happening at the browser level, not the model level. - **AI Agent Scaling Gap March 2026: Pilot to Production** — [Source]() — Published 2026-05-06 Survey of 650 leaders reveals that successful scalers don't spend more on AI. They spend differently, routing budget toward monitoring and evaluation. The root-cause breakdown on scaling failures is worth the read by itself. - **AI Browser Agents: The New Automation Layer Between Your Code and the Web** — [Source]() — Published 2026-05-06 A disclosed-vulnerability timeline for production browser agents that connects cooperative-web optimism to structural attack surfaces. Some of these aren't patchable, which changes the calculus on what "secure by default" can actually mean. - **Google Chrome Ships WebMCP in Early Preview** — [Source]() — Published 2026-05-06 The business-level case for WebMCP as standardized agent infrastructure. Clarifies what changes for teams currently maintaining brittle automation pipelines, and what stays exactly the same. ## Other sections in Issue 28 - [Daily Brief]() - [Market Pulse]() - [Foundations]() - [Echoes]() - [Vision]() ## More - [Publication guide]() - [Issue archive]()