trybasis.ai
success
Claude Code
intent
What does trybasis.ai do and who is it for? Explain it back to me.
7steps
107.5sduration
$0.3585cost
28,652tokens
14 steps7 reasoning steps2 searches
home
search
home
docs
/features
docs
search
80%
answer from your site
40%
answer efficiency
50%
followed site links
answer sources
- from this site80%
- from agent knowledge20%
url discovery
- given in the task20%
- followed a link40%
- found via web search40%
insight
The agent successfully gathered a comprehensive overview of Basis's core value proposition, target market, and competitive positioning from the site and public sources. However, pricing information was deliberately unavailable on the site, forcing reliance on external inference and the agent's own judgment about what customers would need to know.
- ›The homepage and /about pages (steps [5], [10]) were content-rich and directly answered what Basis does and who it's for, but pricing was intentionally obscured—no /pricing page exists (step [7]), requiring the agent to infer from fundraising announcements that pricing is custom enterprise-only.
- ›Web search (steps [3], [12]) contributed key context (valuation, recent $100M Series B, OpenAI partnership) that the site itself did not prominently surface, suggesting the site relies on earned media rather than self-promotion for credibility signals.
- ›The agent correctly identified domain aliasing (trybasis.ai vs. getbasis.ai) from search results, but the primary domain trybasis.ai timed out on direct fetch (step [1]), making discovery dependent on search routing rather than site navigation.
- ›The /features and /pricing endpoints both returned 404 (steps [8], [7]), indicating the site does not publish structured product/pricing pages—intentional gatekeeping typical of high-touch enterprise sales motion.
- ›The final response transparently flagged gaps (competitor comparisons, integration specifics, implementation timelines) that the site did not cover, reflecting agent honesty rather than hallucination—these absences are real friction points for evaluation-stage prospects.
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