The agent successfully gathered what FairwayFinda does, who it serves, and how it differs from competitors by combining direct site fetches and early-access forms, but could not locate concrete pricing or business-model details because the site does not publish them — FairwayFinda is still in early access and the site is intentionally minimal, forcing the agent to assemble a partial picture from homepage metadata, a 3D demo, and a waitlist signup form.

• ›Step [1] and [17] (homepage and 3D Caddie demo) were the only content-bearing fetches; they returned HTML with minimal text content, relying heavily on hero copy and calls-to-action ('try the demos,' 'join early access') rather than structured product documentation.
• ›Step [26] and [29] revealed the early-access waitlist (Google Form), confirming the product is in pre-launch mode, but the form itself contained no pricing or feature details—it was purely a recruitment mechanism.
• ›The site does not publish a pricing page, feature list, team bio, course inventory, or business-model documentation; the agent had to infer most details from meta tags, taglines, and search-result snippets rather than from the site's own content.
• ›70+ percent of the agent's final answer came from prior knowledge, web search results, and the 3D demo URL discovery—not from the website itself; the site is not agent-readable in the way a discovery-evaluation task requires.
• ›The trajectory shows heavy reliance on web search (14%) and prior knowledge (14%) because the site itself is sparse; the agent made multiple search attempts to find pricing, features, competitors, and team info, all returning only the homepage or unrelated results.