The agent assembled a substantive overview of Grid Dynamics' business, target market, and positioning, but had to work around significant gaps in the website's public information. Direct site fetches (homepage, services, about, pricing pages) returned HTML scaffolding with minimal readable content, forcing the agent to rely heavily on web search results and prior knowledge to construct the answer. The site is not agent-ready for this task: pricing, engagement models, and differentiation are either obscured behind CTAs or buried in external sources like press releases and LinkedIn.

• ›The agent's final answer drew almost entirely from web search results (steps 7, 14, 15, 16, 19) rather than from direct fetches of griddynamics.com pages. The homepage, services, about, and pricing pages all returned truncated HTML with no readable body content—likely dynamic pages that require JavaScript rendering.
• ›The most concrete details in the final answer came from external sources: the June 2025 engagement model announcement from BusinessWire (step 19), competitor comparisons from Owler and G2 (steps 15), and company overview from LinkedIn (step 16). The website itself did not surface these details in an accessible form.
• ›The agent correctly identified a major gap: 'No transparent pricing' and 'vague engagement models' are genuine site problems, not failures of understanding. The site does not publish rates, pricing structure, or detailed service definitions—forcing any evaluator to contact the company directly, which is intentional opaqueness.
• ›Step 5 (fetch to /pricing) returned binary image data (JPEG header noise), indicating either a misconfigured page or a redirect to a non-HTML asset. This made direct pricing lookup impossible.
• ›The agent had to disambiguate between Grid Dynamics' own price optimization *products* (which they sell to retail/B2B customers) and their consulting *pricing* model—a confusing distinction that the site does not clearly separate in navigation or messaging.