How I AI
MurmurCast publishes AI-generated summaries of How I AI’s YouTube episodes — 44 summarized so far, covering API interfaces, agent assistance, autonomous task completion, discovery mode interactions, AI-assisted coding, Engineering velocity. Each summary distills the key insights, topics, and takeaways so you can decide what’s worth your time before pressing play.
Custom skills with hooks enforce quality at the point of creation, not after the fact
The speaker discusses the future of different API interfaces and emphasizes the importance of providing real-time assistance to agents during their discovery processes. The focus is on enabling agents to complete complex multi-step tasks autonomously without requiring users to handle manual workarounds.
How Intercom 2X'd engineering velocity with Claude Code | Brian Scanlan
Brian Scanlan from Intercom explains how they doubled their R&D team's pull request throughput in 9 months by implementing Claude Code across their engineering organization. He demonstrates their comprehensive approach including skills development, telemetry tracking, and quality controls that enabled 2x velocity gains while maintaining code quality.
Scheduled tasks let you run AI agents on autopilot at specific times
The speaker demonstrates how to create a scheduled AI task that runs daily at 7:30 AM to analyze email, Slack, and calendar data to generate a morning debrief and action plan. The system leverages project context and connected tools to provide personalized daily preparation.
Stop Chatting With AI. Start Orchestrating It
The speaker demonstrates AI orchestration tools that allow users to manage multiple AI agents simultaneously through a dashboard interface. The system shows when agents need permissions and allows users to grant or deny access to various operations.