roastmyweb.com
success
Claude Code
intent
What does roastmyweb.com do and who is it for? Explain it back to me.
5steps
25.5sduration
$0.0060cost
15,252tokens
6 steps1 reasoning step
home
llms.txt
/methodology
/store
docs
100%
answer from your site
100%
answer efficiency
100%
followed site links
answer sources
- from this site100%
url discovery
- given in the task20%
- followed a link80%
insight
Agent successfully gathered a comprehensive overview of Roast My Web from four directly fetched pages and one support document, covering what it does, who it's for, pricing, methodology, and limitations. The site publishes its core information clearly across public pages, though the agent had to note several deliberate omissions (competitors, credit expiry, third-party providers) and internal inconsistencies (PDF export eligibility).
- ›The homepage, llms.txt, methodology, and store pages were all directly accessible and content-bearing; the agent did not need to search or guess. Step [0] (homepage) and step [1] (llms.txt) provided almost identical core positioning, confirming consistency. Steps [2] and [3] filled in methodology and pricing details the homepage omitted.
- ›The site positions itself deliberately as a 'first pass' tool, not a replacement for specialists. Step [4] (about page) revealed the maintainer's cost motivation (€300 human review) and framing against alternatives (technical tools like Lighthouse, then against agencies). No named competitors appear on the site; the agent had to infer the distinction from the site's own claims.
- ›Internal inconsistency: step [0] claims reports can be 'exported as a PDF,' but step [3] (store page) lists branded PDF only for Freelancer and Agency packs, omitting Studio. The agent flagged this correctly and did not assume model memory to resolve it.
- ›Credit expiry, third-party data providers, who assigns importance/effort labels, and the definition of 'speed fields' are absent from all fetched pages. The agent verified this by checking homepage, store, methodology, and about pages, then documented the gaps rather than inferring from model memory.
- ›The site publishes an llms.txt file (step [1]), signaling agent readiness, though it offers no API and requires web sign-in. The agent successfully distinguished between features for humans (branded reports, PDF export) and the lack of programmatic access.
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