video1.0<iframe src="https://www.loom.com/embed/dbbdb6db7818400886c7a2f6d4f80e1d" frameborder="0" width="1838" height="1378" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13781838Loomhttps://www.loom.com13781838https://cdn.loom.com/sessions/thumbnails/dbbdb6db7818400886c7a2f6d4f80e1d-b38b73690f924264.gif211.008Your Name: Lucía Romero Mateos Problem Solved: Many women enter collaborative spaces already anticipating interruption, idea appropriation, or being minimized. These patterns are rarely intentional — but they are structural. IncludAI addresses this invisible dynamic by setting intentional norms before the meeting begins, ensuring women’s contributions are heard, credited, and respected from the start. Primary User: Women in collaborative projects, hackathons, and academic or professional teams — especially when they are in the minority or in junior roles — and the mixed-gender teams they work within. Tech Used (Lovable + any integrations): Built with Lovable using a React single-page architecture with state-based screen routing. Custom conditional logic generates personalized briefings based on team composition and context. No external APIs or integrations — focused, lightweight, and intentional. What makes this unique: Unlike post-meeting analytics or surveillance-based tools, IncludAI operates as a behavioral pre-commitment system. It modifies the starting conditions of interaction through a personalized facilitator script and shared accountability roles. By intervening at minute zero rather than measuring harm afterward, it provides a scalable, low-friction intervention that can influence long-term participation equity in collaborative spaces.