tufrecuencia.lat
partial
Claude Code
intent

What does tufrecuencia.lat do and who is it for? Explain it back to me.

8steps
50.3sduration
$0.4388cost
57,512tokens
15 steps7 reasoning steps3 searches
home
docs
/precios
/features
search
search
search
/legal/terminos
100%
on-site discovery
40%
reliability
80%
link following
path origin
  • previous resource80%
  • prior knowledge20%
insight

The agent gathered substantial information about TuFrecuencia's core offering and target audience from the homepage and terms of service, but could not locate concrete pricing tiers or competitive differentiation because the site does not publish these details in static, fetchable form. The site is built as a single-page app where pricing and features load dynamically after login, making it largely opaque to external discovery and pre-purchase evaluation.

  • ›Step [1] (homepage) was the primary content source, providing the meta description ('Audio consciente para tu rutina'), description of Serena (the AI assistant), and positioning around evidence-based wellness without medical claims. This became the foundation for 'what they do' and 'who it's for.'
  • ›Step [13] (terms of service) surfaced secondary details: the 14-day Pro trial, Mercado Pago payment integration, and a note that 'final prices and currency are shown before any charge'—but the actual prices themselves do not appear on any public page and are only revealed during checkout/account creation.
  • ›Steps [3–5] and [7–11] were routing attempts (404s and web search) that returned no content-bearing results. The agent correctly identified that standard pricing and features pages do not exist as static URLs, and web search has not indexed this service, indicating either very recent launch or limited SEO exposure.
  • ›The site's architecture—a SPA (single-page app) with dynamically loaded pricing and no public feature documentation—makes it agent-hostile for pre-purchase discovery. The agent cannot answer 'how it's priced' or 'how it's different' without signing up and observing the UI post-login.

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