Aly Moursy has spent this year living out one of the AI era’s sharpest paradoxes: he automates nearly everything inside his company while making himself increasingly visible to the outside world. The Egyptian founder’s Y Combinator-backed startup, Veeza AI, attacks the bureaucratic misery of tourist visa applications with a growing army of coding agents and digital assistants.
These agents do not merely handle isolated tasks. They operate in parallel, talk to each other, and complete work that until recently would have demanded a full human team. Moursy has even built agents whose sole purpose involves improving his existing agents. “This is now the next level of my LLM psychosis,” he joked.
What makes his approach genuinely illustrative of an AI-native startup, however, stretches beyond the automation itself. The harder Moursy pushes toward machine efficiency, the more he leans into personal visibility. His memes, demo videos, walkthroughs, and increasingly elaborate AI experiments now circulate widely across social media. That distribution strategy delivered real results: Veeza AI’s Y Combinator launch outperformed all 54 other Fall 2026 cohort launches tracked by Fiber AI in LinkedIn engagement.
“When the marginal cost of software is going to zero,” Moursy said, “you are the only way people are going to understand that A is legit and B isn’t.”
That stance reflects a widening gap between what most organizations do with AI and what the most advanced practitioners already achieve. OpenAI CEO Sam Altman spoke to this shift last week in a conversation with Stripe co-founder John Collison. Advances in reasoning and inference-time compute, Altman explained, now allow entire teams of agents to tackle complex problems together instead of relying on a single model working alone.
Calling 2026 the year of the agent hardly captures the magnitude of what has unfolded. Meanwhile, founders like Moursy keep rewriting the playbook. His advice to peers cuts through the noise: “You need to be on camera.”
As automation drives software costs toward zero, the human face may become the scarcest asset a startup can offer.
