AI Data & Agentic Workflows3 articles

ai-agents-and-browser-automation
AI Data & Agentic Workflows

AI Agents and Browser Automation: Infrastructure Requirements

A practical guide to designing, scaling, and monitoring infrastructure for AI agents and browser automation, with decision frameworks, metrics, and failure-mode defenses.

Marcus Delgado13 min readAug 5, 2026
web-data-for-llm
AI Data & Agentic Workflows

Collecting Public Web Data for LLM Training: A Practical Playbook

A practical, measurable guide to collect public web data for LLM training—covering architecture, proxies, quality controls, metrics, risk, and a 30-day pilot plan.

Jonathan Reed13 min readJul 29, 2026
building-ai-training-pipelines-with-proxy-infrastructure
AI Data & Agentic Workflows

Building AI Training Pipelines with Proxy Infrastructure

A practical guide to designing AI training pipelines with proxy infrastructure: architecture, proxy selection, routing strategies, metrics, cost tradeoffs, and failure modes. Includes decision frameworks, real-world scenarios, and FAQs for both technical and business teams.

Daniel Mercer13 min readJul 22, 2026