codag.ai
success
Claude Code
intent
What does codag.ai do and who is it for? Explain it back to me.
4steps
28.4sduration
$0.0373cost
14,446tokens
8 steps4 reasoning steps
home
docs
docs
home
80%
answer from your site
75%
answer efficiency
100%
followed site links
answer sources
- from this site80%
- from agent knowledge20%
url discovery
- given in the task25%
- followed a link75%
insight
The agent successfully understood Codag.ai's core offering, pricing, and positioning by fetching three key pages (homepage, pricing, docs). The site surface these answers directly and transparently; the agent noted absences (competitor comparisons, case studies, detailed per-tool pricing) but filled gaps with reasonable inference rather than model hallucination.
- ›Homepage [1] provided a complete overview of what Codag does, who it's for, pricing tiers, and key differentiators—all substantive answers to the task in a single fetch, indicating the site explicitly frontloads positioning.
- ›Pricing page [3] expanded the pay-as-you-go and Team/Enterprise tiers with credit costs, monthly inclusions, and ROI framing, but did not break down per-tool-type pricing despite mentioning it varies (logs vs. inference)—the agent correctly flagged this as a discoverable gap rather than inventing specifics.
- ›Docs page [4] clarified technical implementation (local proxy, transparent integration, fail-safe behavior) and on-demand retrieval, filling in the 'how it works' dimension absent from marketing pages.
- ›The site does not publish explicit competitor comparisons; the agent's final section about 'what was confusing' correctly attributes this to the site's omission rather than citing a missing comparison as fact.
- ›All three content-bearing pages were reached by following site structure (homepage → pricing and docs) or typed from memory; no search was needed, and the site's navigation surfaced the required information without requiring deep exploration.
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