Vinod Khosla backs Wajoās Fo as a safer personal AI agent
The Khosla Ventures founder is championing an AI assistant that has its own phone number, its own payment cards, and the option to hire a human when it gets stuck
Most AI assistants can draft your email. Wajo’s Fo can send it, call the restaurant, book the table, and pay with a card that stops working right after the purchase.
Vinod Khosla, the founder of Khosla Ventures and a prominent OpenAI backer, is publicly vouching for it. His pitch rests less on how clever the agent is and more on whether you can trust it with your credit card.
Meet Fo, the agent with its own identity
Wajo is a San Francisco startup founded by Shivani Poddar, a former engineer at Google DeepMind. The company is pitching a new category it calls “action agents.”
Fo, Wajo’s flagship product, gets its own phone number, its own email address, and single-use virtual payment cards. With that kit, Fo can make bookings, place calls, and send emails for its user. When a task exceeds what the AI can handle, it can bring in human assistants to finish the work.
The numbers behind the pitch
Fo entered an alpha program on August 25, 2026. After roughly a month of testing, it moved to broader public availability on September 28, 2026.
On its debut, Fo completed 71% of 104 real-world tasks without help. Its closest competitor, OpenClaw, sits at 42% by the same comparison.
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On safety, Wajo’s internal benchmarks show a 94% trust rate. That figure comes from the company’s own testing, which is worth keeping in mind when weighing it.
Wajo built proprietary identity infrastructure that lets Fo deal with merchants without exposing the user’s real personal details. The system is also designed so that passwords are not stored.
Why Khosla is putting his name on it
Khosla Ventures has supported Wajo since its inception, and Khosla himself worked with the team on product concepts. He endorsed Fo publicly on September 28, 2026, the same day the agent went broadly available. His praise centered on three safety features: the single-use payment cards, the separation of user identities, and the human oversight system.
What this means for the agent race
Wajo’s approach attacks user hesitation directly. Single-use cards cap the damage from any one bad transaction. Masked identities keep merchants from building a profile of the user. Human oversight provides a backstop when automation fails.
A 71% completion rate is strong next to a 42% competitor. It also means close to three in ten tasks still need something more. Wajo’s answer is to route those leftover tasks to people instead of letting them fail.
There are open questions. The 94% trust rate comes from Wajo’s internal benchmarks, and outside testing will matter as more users arrive. The economics of hiring humans to finish tasks deserve attention too. That model works well at small scale. Whether it holds up as the user base grows is something to watch.