The agent satisfied the task by assembling a comprehensive explanation of Eva from the GitHub README and roadmap documents, supplemented by prior knowledge of competing tools. The evafactory.co website itself was minimally navigable—it provided only the homepage and install script; critical information like pricing, architecture details, and use cases lived exclusively in the GitHub repository, forcing the agent to bridge between the marketing site and source code documentation.

• ›Steps [0], [6], and [14] (homepage + GitHub README fetches) were the only content-bearing sources. The README contained the core positioning ('an open-source autonomous software factory'), architecture concept (workflow orchestration), and foundational design philosophy. Step [14] explicitly appears in the agent's sources list.
• ›The evafactory.co website exposed no pricing, no detailed product description, no alternatives comparison, and no use-case examples—all information the task required. Attempts to fetch /pricing, /about, and /docs returned 404s. The agent had to leave the domain entirely (steps [5]–[6]) and rely on prior knowledge of AI coding agents (Claude Code, Codex, OpenCode) to answer 'how it's different from alternatives.'
• ›The site is agent-unfriendly for discovery-evaluation tasks: it assumes visitors will navigate to GitHub to understand the product. There is no structured data (schema.org, JSON-LD), no machine-readable pricing or feature matrix, and no embedded comparison content. The agent succeeded only because GitHub's README is well-indexed and the tool is open-source; a closed-source product with this level of website minimalism would be unsearchable.
• ›The agent had to synthesize answers from fragments: the 'who it's for' and 'different from alternatives' sections draw heavily from prior knowledge and GitHub roadmap implications (step [7]), not from explicit marketing copy on the site. The pricing answer ('it's free, MIT licensed') is derived from the README's FAQ section, not from a dedicated pricing page.