Beyond the Scraper: Web Speed’s Quest to End the LLM Token Tax

Feeding raw HTML to LLMs is an expensive and inefficient relic of early AI development that creates a massive 'Token Tax.' Web Speed introduces a deterministic adaptation layer that slashes token costs by up to 90% while solving the technical hurdles of modern SPAs and bot detection. This shift from probabilistic scraping to semantic mapping is a crucial step for the next generation of cost-effective, autonomous AI agents.