{"generated_at": "2026-05-30T04:12:05.616191Z", "slug": "ai_i", "source_id": "src_ai_i", "name": "AI & I", "episode_count": 2, "avg_signal": 74.5, "median_signal": 74.5, "top_signal": 91.1, "latest_episode_at": "2026-05-27T16:29:17Z", "earliest_episode_at": "2026-05-20T14:46:00Z", "category_mode": "ai", "cover_image_url": "https://img.transistorcdn.com/_unLmYM9CjKDeRXJOn7gFK3H6X2dny3KX6lhn0gohkg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDM2/YzU4NDNmYTQxNTJh/MTEzYjE4YmJmYTg5/ODY1NS5wbmc.jpg", "rank_score": 79.528, "episodes": [{"episode_id": "ep_ai_i_fce08e72ef10", "episode_title": "We Automated Everything With AI and Tripled Our Headcount", "podcast_name": "AI & I", "podcast_slug": "ai_i", "source_id": "src_ai_i", "category": "ai", "publish_date": "2026-05-27T16:29:17Z", "overall_score": 58.0, "score_breakdown": {"clarity": 75.0, "originality": 0.0, "hype_penalty": 3.0, "actionability": 65.0, "technical_depth": 70.0, "information_density": 75.0}, "podcast_cover_url": "https://img.transistorcdn.com/_unLmYM9CjKDeRXJOn7gFK3H6X2dny3KX6lhn0gohkg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDM2/YzU4NDNmYTQxNTJh/MTEzYjE4YmJmYTg5/ODY1NS5wbmc.jpg", "source_link": "https://share.transistor.fm/s/55c49f7c", "audio_url": "https://pscrb.fm/rss/p/media.transistor.fm/55c49f7c/a721a9a3.mp3", "listen_url": "https://share.transistor.fm/s/55c49f7c", "verdict": "must_listen", "why_listen": "It reframes AI not as a job eliminator but as a force multiplier that changes the structure of work, offering a realistic model for how human value evolves in an automated world.", "summary": "The episode argues that AI-driven automation is not reducing headcount but enabling companies to scale faster, with one team reporting tripled human headcount alongside massive AI agent deployment. It introduces the idea that AI devalues expert tasks by making them abundant and accessible to non-experts, creating a new role for humans in curating, refining, and directing AI output. The core framework is that AI changes what is hard and easy in work, leading to fundamental reorganizations in how companies operate rather than simple job replacement."}, {"episode_id": "ep_ai_i_e732a0bc7b33", "episode_title": "Inside Stainless: The Developer Tools Startup Anthropic Just Bought for $300 Million", "podcast_name": "AI & I", "podcast_slug": "ai_i", "source_id": "src_ai_i", "category": "ai", "publish_date": "2026-05-20T14:46:00Z", "overall_score": 91.1, "score_breakdown": {"clarity": 80.0, "originality": 55.7, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://img.transistorcdn.com/_unLmYM9CjKDeRXJOn7gFK3H6X2dny3KX6lhn0gohkg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDM2/YzU4NDNmYTQxNTJh/MTEzYjE4YmJmYTg5/ODY1NS5wbmc.jpg", "source_link": "https://share.transistor.fm/s/e8ee50d5", "audio_url": "https://pscrb.fm/rss/p/media.transistor.fm/e8ee50d5/3a9eaf00.mp3", "listen_url": "https://share.transistor.fm/s/e8ee50d5", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, know, it's, including: Now we're trying to hook AI up to the internet with MCP, Model Context Protocol, which turns any website or web service into a set of tools that an AI can use natively to get work.", "summary": "The internet runs on computers talking to each other, but its entire architecture was built for a pre-AI world. Now we're trying to hook AI up to the internet with MCP, Model Context Protocol, which turns any website or web service into a set of tools that an AI can use natively to get work done."}], "category_breakdown": [{"category": "ai", "count": 2}]}