A safe, easy OpenClaw-style AI assistant for consumers, sold through ads and a long onboarding.
WiseSam, a weeks-old consumer AI assistant on web, pairs ads with a long onboarding, then charges $1 for the first week and $10 a week. Each user gets a preconfigured virtual machine, its own email and a sender allow-list, plus preset first tasks. The sources give no revenue or conversion figures. Lesson: warm users with ads, guide first use, start safe, and keep A/B testing onboarding length.
From Patrick on WiseSam's onboarding
Ads warm users up so a long onboarding feels like happy friction. Users who arrive at WiseSam from an ad are already excited, so Social runs a long questionnaire, ends with a summary of their answers so they feel listened to, and feeds what it learns into the product's personalization. The web offer is $1 for the first week, then $10 a week.
Visitors who come straight through the website skip the long flow, because no ad primed them to answer. Patrick says most 100-screen onboardings use only about 10% of their answers, and the team keeps A/B testing the length. "It's like friction but it's happy friction."

Preset first tasks show new agent users what to delegate. The chat opens with buttons like helpful tasks, calendar and mailbox that send a prepared prompt, and the team is identifying about 10 use cases anyone gets value from quickly, such as birthdays or price checks.
The aim is to nail the first three to five steps and build trust before sensitive tasks like reading mail. "The main sort of barrier to AI adoption isn't AI capability."

Start an AI agent locked down, then loosen access gradually. WiseSam runs on a preconfigured virtual machine per user, with its own email address and an allow-list of senders. The team admits this was a bit too conservative and plans to add read access to the inbox over the following weeks.
WiseSam was only weeks old at the time, built by the app studio Social as an OpenClaw-style assistant for consumers. "We want the agent to start from being very safe and then we iterate towards you know being productive."
Only weeks old, it runs on web with a preconfigured virtual machine per user, its own email address and an allow-list of senders. It uses a long onboarding warmed by ads, offers $1 for the first week then $10 a week, and guides users with preset first tasks.
Ads warm users up so a long onboarding feels like happy friction. Users who arrive at WiseSam from an ad are already excited, so Social runs a long questionnaire, ends with a summary of their answers so they feel listened to, and feeds what it learns into the product's personalization. The web offer is $1 for the first week, then $10 a week.
Visitors who come straight through the website skip the long flow, because no ad primed them to answer. Patrick says most 100-screen onboardings use only about 10% of their answers, and the team keeps A/B testing the length. "It's like friction but it's happy friction."

Preset first tasks show new agent users what to delegate. The chat opens with buttons like helpful tasks, calendar and mailbox that send a prepared prompt, and the team is identifying about 10 use cases anyone gets value from quickly, such as birthdays or price checks.
The aim is to nail the first three to five steps and build trust before sensitive tasks like reading mail. "The main sort of barrier to AI adoption isn't AI capability."

Start an AI agent locked down, then loosen access gradually. WiseSam runs on a preconfigured virtual machine per user, with its own email address and an allow-list of senders. The team admits this was a bit too conservative and plans to add read access to the inbox over the following weeks.
WiseSam was only weeks old at the time, built by the app studio Social as an OpenClaw-style assistant for consumers. "We want the agent to start from being very safe and then we iterate towards you know being productive."
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