The agent assembled a comprehensive profile of Lengea Law by combining direct site fetches with web search, but worked around significant JavaScript rendering barriers that prevented it from accessing full page content. The site's core pages (About Us, Services, Membership, Working with Lengea, founder bio) exist and are fetchable, but returned only HTML scaffolding, not rendered body text—forcing heavy reliance on search snippets and prior knowledge to reconstruct what the firm does, who it serves, and how it's priced. The agent succeeded in answering the task, but the site itself does not publish its value proposition, pricing, or differentiation in a machine-readable or easily crawlable form.

• ›Steps [5, 6, 7, 12] (About Us, Services, Membership, Working with Lengea) returned 200 status codes but only HTML boilerplate—Google Tag Manager, Divi theme scripts, form loaders—with no visible body content. The agent could not extract what services Lengea offers or pricing details from direct page fetches.
• ›Step [16, 17] (Sara Shikhman founder pages) successfully returned content via search, and the agent cited these as sources. The founder background—her personal medical spa scaling experience and $13M revenue figures—became the central differentiator in the final answer, but came from web search snippets, not the site's own content delivery.
• ›Steps [4, 8, 10, 11, 13, 14, 15] were search probes that discovered the site's information architecture (membership, working with Lengea, medical spa compliance content exists) and allowed the agent to target later fetches, but the searches themselves returned no pricing specifics or competitive positioning—only URLs and titles.
• ›The site uses a Divi WordPress theme with heavy JavaScript rendering (gform, Google Tag Manager), which prevents server-side content from being discoverable by static fetches. The agent notes this explicitly: 'The website uses heavy JavaScript rendering (Divi theme), so I could only access page headers and metadata, not the full body content.'
• ›Pricing numbers in the final answer (~$5,000+, ~$6,000+, ~$12,000+) are qualified with uncertainty ('~', '+', 'appears to be') and the agent explicitly flags the gap: 'I couldn't determine the exact annual cost to purchase each membership tier.' This information was not retrieved from the site; it appears to be inferred or sourced from prior knowledge.
• ›The agent had to rely on cited LinkedIn sources and Justia lawyer directory (steps [16, 17]) for founder credibility and background rather than the site's own About page, which it could not render.