The agent successfully identified what ticket-alerts.live does (Twickets bot for face-value resale alerts) and its target UK audience, but could not retrieve explicit pricing from the site itself. The agent assembled an explanation from blog posts, GitHub documentation, and competitor comparisons, working around the site's failure to publish pricing on navigable pages—three standard pricing URLs returned 404s. The site is poorly instrumented for agent discovery of billing information.

• ›Steps [1, 9, 10, 13] (homepage, Twickets bot page, blog review, Wimbledon event page) returned HTML but no machine-readable pricing data; all were truncated at 4400 chars, suggesting rendered SPA content not easily parsed. The agent had to infer business model from blog copy and user-facing messaging rather than structured data.
• ›Steps [3, 4, 5] revealed the site lacks standard navigable pages—/pricing, /about, /faq all returned 404s. The agent discovered actual content only via web search results and GitHub, not site navigation. Step [22] (Alertix competitor review) became a key secondary source for understanding positioning and pricing comparison, suggesting the site does not self-document its differentiators.
• ›Step [17] (GitHub repository documentation) was critical for understanding the Twickets bot's technical mechanics (second-by-second polling), yet this is hosted off-domain. The main site fails to expose technical architecture or feature clarity in a web-crawlable form.
• ›The agent never reached a working pricing table, cart, or billing page despite extensive search attempts (steps [8, 14, 15, 21, 28]). No cited source contains actual price amounts—the agent's statement '£10 for the fastest alert tier' references Alertix, not ticket-alerts.live itself, revealing a gap in the primary source.
• ›Step [19] (app.ticket-alerts.live/dashboard) returned a 200 but appears to be a restricted app shell—not agent-readable. The site bifurcates public marketing from app functionality without clear entry points or docs.