AI Data & Agentic Workflows3 articles

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.

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.

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.