drafted.li
success
Claude Code
intent
What does drafted.li do and who is it for? Explain it back to me.
9steps
46.4sduration
$0.0890cost
77,371tokens
12 steps3 reasoning steps2 searches
home
/product
/solutions
/customers
search
search
docs
docs
/company
100%
on-site discovery
100%
reliability
86%
link following
path origin
- previous resource86%
- prior knowledge14%
insight
The agent successfully gathered enough information to explain Drafted's core positioning, target audience, and differentiation, but encountered significant gaps in pricing and product detail that required working around the site's opacity. The site published clear product messaging and workflow examples across multiple pages but deliberately withheld pricing information and technical implementation details, forcing the agent to rely on structural inferences and external search context to complete the evaluation task.
- ›Steps [1–6, 10] returned content describing Drafted's agentic architecture, target customer (in-house legal teams), specific workflows (contract review, intake triage, board governance), and claimed outcomes—but this information was scattered across separate pages (/product, /solutions, /customers, /developers) rather than consolidated in a single evaluation-ready resource.
- ›Pricing was explicitly marked as 'Contact Drafted for pricing' across all pages, meaning the agent could only note its absence rather than retrieve it. The site's decision to gate pricing behind a sales process directly blocked fulfillment of one of the four core task requirements.
- ›The /developers page exposed API, OpenAPI, and MCP capabilities, confirming deep integration posture, but provided no implementation details, supported platforms, or SDKs—leaving the agent unable to fully answer 'how it works' for a developer evaluating integration feasibility.
- ›The site's messaging was well-structured for brand positioning (orchestrator vs. copilot, agentic vs. point solutions) but lacked specificity on automation levels, model selection, data privacy guarantees, and SMB affordability—information necessary to truly compare against alternatives or self-qualify.
- ›The agent supplemented the site's content with web search results [8, 9] that returned competitor lists and general legal AI category information, but these searches did not yield substantive Drafted-specific details, indicating low external visibility for detailed product evaluation.
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