An AI agent monitors a support inbox, identifies a bug report, cross-references it with the GitHub codebase to find the issue, suggests probable causes, and then passes the task to another AI to write the fix. This automates the entire debugging lifecycle.
Contrary to the belief that AI will kill most apps, lower development costs will make it profitable to build and maintain software for smaller, niche audiences. This affordability will likely lead to an explosion of specialized apps rather than market consolidation.
A founder set up an AI agent on a cron job to proactively scan the web twice daily for relevant industry news. The agent surfaces interesting studies and, upon request, immediately drafts a blog post, turning a passive tool into an active, automated content engine.
To prevent malicious attacks, a founder configured his AI agent to require manual approval via Telegram before executing any task requested by an external party. This simple human-in-the-loop system acts as a crucial security backstop for agents with access to sensitive data and platforms.
An engineer's struggle to run OpenClaw on cheap cloud VMs due to high RAM needs led him to build a solution for friends. This quickly validated the need for an affordable, managed hosting service, which he turned into a startup (Agent37.com) almost immediately.
A founder used an AI agent to handle a multi-step due diligence request. The agent accessed the PostHog analytics platform, pulled a list of active users, formatted it into a Google Sheet, and then emailed selected users to ask if they'll serve as references, completing the task in minutes.
In a demonstration of high-conviction, rapid investing, host Jason Calacanis offered two separate guest founders $125,000 each to join his LAUNCH accelerator. The investment decisions were made live on the podcast based on their impressive OpenClaw projects and demonstrated initiative.
A developer combined Meta Ray-Ban glasses with a two-layer AI system. The first layer, Google's Gemini Live, handles real-time perception (vision and voice). It then delegates specific tasks to a second layer, OpenClaw, for execution and browser automation. This architecture effectively separates perception from action.