flatt.tech
success
Claude Code
intent

What does flatt.tech do and who is it for? Explain it back to me.

21steps
99.4sduration
$1.4736cost
211,605tokens
23 steps2 reasoning steps12 searches
home
docs
search
/en
/organization/flatt
docs
search
search
/en/professional/penet…
search
search
search
/en/takumi
search
search
search
search
search
search
/service
docs
44%
on-site discovery
44%
reliability
11%
link following
path origin
  • previous resource11%
  • web search56%
  • prior knowledge33%
insight

The agent provided a comprehensive overview of Flatt Security by assembling information from the site's English-language pages and web search results. The core findings—what they do, who they serve, and how they differ—were drawn from direct fetches of their main pages and service pages. However, pricing information could not be found on the site itself; the agent had to acknowledge this gap explicitly. The site proved only partially navigable: the JavaScript-heavy frontend limited content extraction, direct URL guessing failed (404s on /pricing, /service, /about), and the agent relied heavily on web search to discover service pages rather than navigation from the homepage.

  • ›The main homepage [1] and English-language version [6] loaded successfully but returned truncated HTML (4400+ chars truncated), suggesting the agent could not fully extract content from the JavaScript-heavy frontend. Service details came from directly-fetched subpages ([11] penetration test, [14] Takumi AI agent) that loaded but were similarly truncated.
  • ›The site does not publish transparent pricing. Step [2] /pricing returned a 404, and web searches for pricing ([9], [21]) did not surface any public rate cards or pricing pages. The agent had to explicitly call out this missing information and infer a 'custom quote' model based on absence of evidence.
  • ›The agent discovered most specific service offerings through web search, not site navigation. URL patterns like /en/professional/penetration_test and /en/takumi were found via search [10] and [12], not extracted from the homepage. This indicates the site does not surface its service hierarchy clearly in linked navigation or structured listings.
  • ›The agent successfully identified Flatt Security's positioning (AI + expert hybrid, developer-focused, AI application security specialization) and key products (Takumi, Shisho Cloud, KENRO, penetration testing, white-box assessments) from the fetched pages and prior knowledge, but had to acknowledge that Takumi's specific pricing structure and relationship to Shisho Cloud remained unclear due to incomplete content extraction.
  • ›Direct URL guessing failed consistently ([2] /pricing, [4] /service, [5] /about all 404s), forcing reliance on web search and prior knowledge. The site's IA and URL structure are not intuitive for machine discovery.

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