The agent successfully assembled a coherent explanation of re:solved's business model, pricing, and positioning from three core pages. The site is moderately navigable but fragmented — pricing appears on the homepage, core service details are scattered across subpages, and several claims lack evidence or contain inconsistencies that the agent correctly flagged.

• ›The site publishes pricing and service descriptions across the homepage and /ai-automation-services, but the /ai-automation-services page explicitly disclaims pricing and redirects to the homepage, creating unnecessary friction.
• ›Track record is the weakest point: the site links to a 'Cases' section that contains no visible content, claims it won't publish performance percentages until measured, yet also advertises an ROI calculator — an unresolved contradiction the agent caught.
• ›Multiple factual inconsistencies appear within the site itself (6 vs. 14 questions, 'days' vs. '1–3 weeks' for deployment, 20 vs. 30 minute calls), suggesting either poor content maintenance or unclear messaging that the agent had to flag as unreliable.
• ›The company positioning is ambiguous across the site: described as an 'automation agency,' 'AI agent studio,' and 'MVP studio' on LinkedIn, with no clear resolution of these labels.
• ›Self-hosted deployment is presented as a key differentiator but lacks detail on hardware requirements, cost parity or premium, or integration burden — the agent could not verify this claim against concrete data.