The agent assembled a comprehensive explanation of Aave by relying almost entirely on web search results and prior knowledge, since the aave.finance site itself (steps 1–10) returned only truncated boilerplate HTML without accessible content. The agent successfully answered all four dimensions of the task (what, who, pricing, differentiation) and identified gaps in the site's transparency, but had to work around the main domain's poor machine-readability by pivoting to third-party sources and docs aggregators.

• ›Steps 1–7 and 9–10 fetched aave.finance and docs.aave.com but returned only truncated HTML with no substantive content visible in the response bodies; the agent could not extract pricing, mechanism details, or comparative positioning from the official site itself.
• ›Steps 8, 11, 12, 13 (web searches) returned URLs to third-party explainers (BingX, Crypto.com, Ledn, Gate Learn, Fensory, Bitcompare) and external data sites (Aavescan, DeFiLlama) that the agent cited in its final source list—indicating the agent had to leave the domain to answer the task.
• ›The agent correctly identified that aave.finance is a single-page app that doesn't expose pricing or mechanism details without interaction (app.aave.com required), and that risk/liquidation mechanics, reserve factors, and GHO integration are poorly documented on the marketing site.
• ›The agent did not fetch or cite any of the third-party sources it linked; it relied on search result snippets and prior knowledge to construct the answer, meaning the content-bearing value came from the search tool's ability to discover and summarize external sources, not from navigating the Aave domain itself.
• ›The site's architecture—marketing homepage separate from docs, app separate from both, and interactive elements (app.aave.com/markets) inaccessible via static fetch—created friction for an agent trying to understand the product without running a browser or wallet.