ora
lais.ai
partial
Claude Code
intent

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

10steps
55.2sduration
$0.5673cost
38,878tokens
12 steps2 reasoning steps3 searches
home
docs
home
/produto
/cases
search
search
search
/features
/why-lais
60%
answer from your site
57%
answer efficiency
67%
followed site links
answer sources
  • from this site60%
  • from search results20%
  • from agent knowledge20%
url discovery
  • given in the task14%
  • followed a link57%
  • guessed the URL29%
insight

The agent gathered substantial, correct information about Lais's functionality, customer base, and competitive positioning from the site and search results, but encountered a critical gap: the site does not publicly display pricing, forcing the agent to report this as a major limitation rather than an answer to the user's question.

  • Site content (homepage, /produto, /cases) directly answered what Lais does, who uses it, and provided case study metrics; these were discoverable via homepage navigation and did not require guessing.
  • Pricing page (/pricing) returned 404, indicating the site intentionally does not publish pricing information—not an oversight but a design choice to funnel prospects to demo/quote requests.
  • Agent correctly attempted multiple direct URL paths (/pricing, /features, /why-lais) before pivoting to web search, showing systematic exploration of expected patterns before falling back.
  • Differentiation claims (vertical specialization, WhatsApp-first, speed metrics, integration depth) were drawn from site content (/produto, /cases) and search results about competitors (EliseAI, B.Claw, Follow Up Boss), not model memory.
  • Geographic scope, implementation details, and trial availability were genuinely absent from both site and search results—agent correctly flagged these as gaps rather than asserting them from memory, maintaining integrity.

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