The agent successfully understood and explained QEDA as a development NGO, assembling a coherent picture from repeated fetches of their homepage. The site was navigable but sparse on details — it exposed mission, projects, and partnerships clearly, but contained no explicit pricing or funding model documentation, forcing the agent to infer their non-commercial nature from partnership signals.

• ›The agent fetched the same homepage (www.qeda.ng/) four times across steps [2], [3], [4], [5] (each typed from memory, not surfaced by navigation links), extracting different sections each time. This suggests the homepage is content-rich but the site itself offers no internal navigation to deeper resources.
• ›Pricing and funding information were not disclosed on the homepage. The agent correctly identified this as a gap and recommended contacting QEDA directly — a pragmatic conclusion grounded in the absence of a pricing page or investor deck.
• ›The agent resolved a potential confusion point (whether QEDA is a B2B SaaS product vs. a development NGO) by inferring from partnership logos (UNICEF, Oando Foundation) and project descriptions that it operates as a donor-funded organization — this inference was sound but based on model memory about NGO structures, not explicit labeling on the site.
• ›The site exposed core positioning ('locally led, evidence-based solutions'), services list, and concrete impact metrics (9,000 trained in AI; three-state EGR rollout) clearly, making differentiation straightforward to articulate.
• ›The initial ECONNREFUSED error on qeda.ng/ (step [1]) forced a manual www prefix retry. The site's DNS or HTTP configuration is not agent-friendly for the bare domain, creating friction on first contact despite ultimate success.