mymeetings.co
success
Claude Code
intent
What does mymeetings.co do and who is it for? Explain it back to me.
19steps
92.8sduration
$1.2182cost
377,819tokens
20 steps1 reasoning step9 searches
home
docs
docs
docs
search
/meetings
search
home
search
home
search
search
/software/my-meetings-…
/store/apps/details
search
search
search
/us/app/mymeetings-aa-…
search
90%
on-site discovery
80%
reliability
80%
link following
path origin
- previous resource80%
- web search10%
- prior knowledge10%
insight
The agent successfully answered the task by assembling a comprehensive overview of MyMeetings from the homepage, app store listing, and a blog post about the app's first anniversary. The website lacks a dedicated features, pricing, or about page, forcing the agent to piece together the answer from scattered sources and prior knowledge about competing products. The site is moderately navigable but incomplete for agent-driven discovery.
- ›Step [0] (homepage) contained high-level positioning ('Find AA meetings near you') and the fact that pricing is free, but lacked detailed feature lists, company background, or explicit comparisons to alternatives.
- ›Step [5] (Apple App Store listing) provided concrete feature details (attendance tracking, journaling, AI features, meeting database size of 243,000+ meetings) that were not present on the website itself—the agent relied on app store metadata to answer 'what features' and 'what it's for'.
- ›Step [17] (blog post about 1-year anniversary) confirmed MyMeetings is an independent app 'built by alcoholics for alcoholics' and mentioned 'private groups' as a feature, but provided no specifics about how private groups work or how they differentiate from Meeting Guide.
- ›The agent's comparison table to Meeting Guide was constructed from prior knowledge and web search context, not from mymeetings.co's own website—the site itself does not position against competitors or explain its differentiation.
- ›The site has no dedicated pricing page (returned 404 on /pricing), no about/company page, and no features breakdown—the agent had to infer completeness from scattered navigation and blog content.
- ›The agent explicitly flagged confusion about AI opt-in mechanics, private groups functionality, and company background—all gaps that a proper feature or about page would have resolved.
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