triagehealth.com
partial
Claude Code
intent
What does triagehealth.com do and who is it for? Explain it back to me.
2steps
27.1sduration
$0.0040cost
13,275tokens
3 steps1 reasoning step
home
docs
83%
answer from your site
100%
answer efficiency
100%
followed site links
answer sources
- from this site83%
- from agent knowledge17%
url discovery
- given in the task50%
- followed a link50%
insight
The agent retrieved core information about TriageHealth's purpose, audience, and pricing from the homepage and pricing page, but the final answer is partial because key claims remain unverified (methodology, evidence, competitor comparison), practitioner pricing is inconsistent across pages, and several linked pages (sample reports, methodology, about) were not fetched. The site surfaced pricing clearly but left conflicting claims about domains, subscriptions, and launch offers unresolved.
- ›Step [0] (homepage) and Step [1] (pricing page) were the only pages fetched; both were site-content sources that provided direct answers to what, who, and pricing. The agent did not attempt to resolve conflicts by fetching /about, /how-it-works detail, /for-professionals, or sample-reports despite these being explicitly linked.
- ›Pricing page [1] gave clear, structured pricing for individual users (€25, €59, €89/year) but omitted practitioner tier pricing despite the homepage claiming €49/month start. This inconsistency was flagged in the final response but not resolved by fetching the practitioner page.
- ›The homepage claimed both 10 and 12 health domains, and stated 'no subscription' while the pricing page showed an auto-renewing Annual Pass. The agent correctly identified these contradictions but could not resolve them from the two pages fetched.
- ›Differentiators (86+ pattern detectors, cascade reasoning, genetic variants, 70+ interventions) were stated in the homepage but marked as unverified. The agent noted the methodology and disclaimer pages were linked but not fetched, leaving evidence-based claims unsupported.
- ›The agent relied on model memory to list what was missing (FAQ, sample reports, regulatory explanation, team details, data handling specifics) rather than attempting additional fetches. This reflects a partial rather than satisfied outcome: the user asked to 'understand triagehealth.com well enough to explain it to someone else,' which typically requires deeper site exploration than two top-level pages provide.
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