What Building AI Agents Inside a Production Startup Taught Me About the Future of the Web
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Bot traffic now exceeds human traffic online, driven by agentic AI systems that interact with websites in at least six distinct architectures — from raw HTTP fetches to OS-level computer use. This fragmentation breaks core web assumptions around rate limits, sessions, identity, and analytics. Drawing from production experience building measurement infrastructure for the agent economy, the author distinguishes internal agents (pure productivity tools with human review) from customer-facing agents (a separate engineering discipline). Key lessons include writing AI integrations to capability rather than specific model versions, and recognizing that the next generation of products will be judged on how gracefully they handle agent traffic alongside human traffic.
