ora
cartesia.ai
success
Claude Code
intent

What does cartesia.ai do and who is it for? Explain it back to me.

10steps
53.8sduration
$0.5975cost
97,674tokens
17 steps7 reasoning steps3 searches
home
docs
docs
docs
search
/sonic
search
search
/vs
docs
57%
on-site discovery
71%
reliability
43%
link following
path origin
  • previous resource43%
  • web search43%
  • prior knowledge14%
insight

The agent successfully gathered enough information to explain Cartesia's core offering, pricing, and competitive position, but had to work around inaccessible pages and rely heavily on third-party sources. The site's direct pages (homepage, /sonic, /vs) provided product positioning and some feature details, but the official pricing page failed to load, forcing the agent to source pricing data from external blogs. Key information about version differences, voice cloning costs, and company background were either missing or behind 404s.

  • ›Step [1] (homepage) and [11] (/sonic) provided the core product narrative: Sonic-3.6 is a streaming TTS API optimized for real-time AI agents with sub-90ms latency, emotional expressiveness, and voice cloning. These directly shaped the agent's explanation of what Cartesia does and who it's for.
  • ›Step [3] (official /pricing page) returned HTML but apparently rendered to a blank or inaccessible state; the agent could not extract pricing from the site's own source and had to rely entirely on step [15], a third-party blog post (TextToLab), for the credit-based pricing tiers and per-million-character costs.
  • ›Step [10] (/vs comparison page) was fetched successfully and appears to have been content-bearing for competitive positioning, as the agent cited multiple comparison claims (vs. ElevenLabs, Minimax, etc.) that align with what a comparison page would surface.
  • ›Steps [4] and [5] (404s on /about and /docs) forced the agent to explicitly note missing information in its final response: company background, technical documentation, voice cloning pricing, and Enterprise tier details were all flagged as unfound or unclear.
  • ›The agent sourced 43% of its knowledge from web search results and 43% from artifacts (third-party blogs and docs), with only 14% from prior knowledge, indicating the site did not self-contain the task's full answer. The official pricing page failure was a major friction point, classified as 'succeeded_with_heavy_bridge'—the agent had to cross to external sources to complete the answer.

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