The agent gathered substantial information about La Cohorte IA's purpose, target audience, and differentiation from alternatives, but could not complete the task fully due to the target domain's JavaScript-rendering and missing pricing information. The main website (cohorte.innovaud.ch) itself was inaccessible to static fetching, forcing the agent to rely on external news sources, government announcements, and prior knowledge to construct the answer.

• ›Step [7] (innovaud.ch homepage) and step [11] (vaud.ch announcement) provided government-backed context and confirmed the 3-month timeline and deployment focus, but neither the main site nor these external sources disclosed pricing or specific program structure details.
• ›Step [21] (PDF from ARCAM-VD about the cohort closure event) was located via web search but not actually fetched for content—it was cited as evidence of the program's existence but the agent could not access its full details due to PDF handling limitations.
• ›The target domain cohorte.innovaud.ch returned HTML with a React/JavaScript-heavy structure (step [1] and [2] showed mostly script tags, not rendered content), making it impossible for the agent to extract the full narrative, timeline, or pricing directly from the site itself.
• ›Critical information gaps (pricing, exact application timeline, cohort size per round) were not available anywhere in the public web or the target site, indicating either deliberate non-disclosure or poor information architecture.
• ›The agent successfully inferred the program's value proposition and differentiation by synthesizing government announcements, news articles, and competitive landscape research, but had to acknowledge that core commercial details (cost, exact duration, module count) require direct contact with Innovaud.