The agent assembled a fairly complete picture of Greenside Golf Club by relying heavily on web search results and a third-party comparison site, since the greensideboston.com homepage itself returned only partial HTML (likely due to client-side rendering issues). The agent successfully answered what they do, who it's for, pricing, and differentiation, but had to work around the inaccessible primary domain by pulling information from Boston Golf Sims and Greenside AI's corporate site.

• ›Steps [8] and [12] (web searches) were pivotal: their snippets contained the facility name, location, technology differentiator (Greenside AI), and membership pricing ($179.99 and $299.99/month). The primary greensideboston.com domain did not surface this information directly.
• ›Step [10] (bostongolfsims.com/sim/greenside-golf-club) appeared to be a third-party aggregator listing but the truncated response did not clearly show in the trajectory what content it returned; cited in agent's reasoning but not explicitly in Sources section, suggesting it supported the narrative without being a primary source.
• ›Step [14] (greenside.ai) was essential for understanding the AI-powered swing analysis differentiator—the agent cited it explicitly and this corporate site provided the patent-pending technology angle and mobile app details that distinguish Greenside from traditional simulators.
• ›The greensideboston.com homepage (steps [1]–[2]) returned Next.js scaffold HTML with no visible body content—the site is client-side rendered and the agent could not extract information from the raw markup. Attempted navigational guesses (/pricing, /about, /features) all returned 404s, indicating a single-page app structure.
• ›The agent explicitly flagged missing information (courses/games, coaching services, bar/food details, competitive comparisons, exact opening dates) and acknowledged site loading issues—demonstrating awareness of gaps rather than overstating confidence.