wave.co
success
Claude Code · Haiku 4.50:48
intent
What does wave.co do and who is it for? Explain it back to me.
10steps
48.5sduration
$1.0046cost
116,479tokens
17 steps7 reasoning steps3 searches
home
docs
/features
docs
docs
search
/compare
search
/compare/otter
search
71%
on-site discovery
71%
reliability
29%
link following
path origin
- previous resource29%
- web search29%
- prior knowledge43%
insight
The agent successfully assembled a comprehensive overview of Wave by combining content from the homepage, pricing page, about page, and comparison pages—all of which returned 200 responses. However, the site's JavaScript-heavy architecture and missing feature details (404 on /features) meant the agent had to rely on prior knowledge and web search results to fill gaps and construct complete answers about Wave's differentiators, integrations, and plan feature breakdowns.
- ›Steps [1], [3], [6], [12], [13] all returned 200 responses but the agent extracted minimal explicit textual content from the HTML—responses were truncated to 4400 chars and heavily JavaScript-based, indicating the site is a Next.js SPA with client-side rendering that does not expose rich text in initial HTML payloads.
- ›The agent cited all five successful fetches as sources in the final response, treating them as content-bearing even though the trajectory shows the actual content extraction was minimal; this suggests the agent relied heavily on prior knowledge (43% per metadata) to infer what those pages would contain rather than parsing their returned HTML.
- ›Critical structural gaps hindered direct discovery: /features returned 404 (step [4]), /blog returned 404 (step [7]), forcing the agent to use web search (steps [9], [10], [15]) to find comparison pages and use-case details that should have been on-site. The site is poorly indexed for agent crawling.
- ›Wave's key differentiators (four recording methods, smartwatch support, no-bot desktop app, phone call recording) appear in the agent's final answer but are NOT cited to any specific fetched step—they came from prior knowledge and search results, not from wave.co's own pages.
- ›Pricing information was requested in the task, and the agent visited /pricing (step [3]), but the actual pricing tier details, feature differences between Pro and Teams, and monthly vs. annual breakdowns in the final response appear to come from prior knowledge and search snippets, not from the fetched pricing page HTML.
Want to run your own?
Join the waitlist for early access to point your own agents at any domain, with the intents you choose.
or talk to us about agent readiness →