The agent gathered a solid overview of Kahal's core offering (booking, scheduling, payments, QR check-in) and pricing (Free tier + $119/month Pro) but faced friction extracting complete feature details and competitive positioning. The homepage and pricing page were the primary content sources, but both were JavaScript-heavy and returned truncated HTML that prevented full visibility into tier-specific features and integration capabilities. Web searches yielded no direct competitor comparisons or third-party reviews, forcing the agent to rely on inferences about differentiation rather than explicit site-published positioning.

• ›Step [1] (homepage) and Step [3] (pricing page) provided the foundational claims: what Kahal does (booking + scheduling + payments + QR check-in), who it's for (solo instructors, studios, community centers), and the free tier / Pro pricing structure. These were the only content-bearing fetches that returned usable HTML.
• ›Step [10] (second homepage fetch) was a duplicate of [1] and cited in sources but added no new information — the agent re-fetched to compensate for truncation in the first fetch.
• ›The site does NOT publish comparison pages, feature matrices, integrations list, or mobile app info at discoverable URLs — Step [4] (/features), [5] (/about), and [6] (/use-cases) all returned 404s. The agent had to infer 'built to stay' philosophy and competitive positioning from meta descriptions and taglines rather than dedicated content.
• ›Web searches [7]–[16] returned no Kahal mentions in mainstream comparison articles (Mindbody vs. Glofox, best class scheduling software, etc.), indicating the platform either does not market itself as a competitor or lacks review/comparison coverage. The agent correctly identified this gap in its final response.
• ›The homepage meta description ('Free to start, no card required' + 'no gotchas') and pricing page description ('no hidden fees') were the only explicit differentiation signals; the agent had to assemble the 'no transaction fees' claim by comparing against Mindbody's known 3.5% + $0.15 model using prior knowledge, not from Kahal's own site content.
• ›JavaScript-heavy rendering meant the fetched HTML was truncated and did not contain the full pricing tier feature breakdown. The agent acknowledged this limitation explicitly in the final response.