{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a946981ee851f3f31b81f20?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Why AI Agents Produce Process Instead of Finished Work","description":"<p>AI agents are always solving for a passing condition. If that condition is not a business result you care about, sophisticated and relentless activity can still produce work nobody wanted.</p><p><br></p><p>In this executive briefing, Nate Jones uses the OpenAI and Hugging Face incident, the growth of agent infrastructure, and examples across enterprise, small-business, and entrepreneurial settings to show why useful agents need better finish lines.</p><p><br></p><h3>In This Episode</h3><ul><li>Why an agent's passing condition matters more than its activity</li><li>What the 1,200-agent OpenAI incident reveals about incentives</li><li>The ordinary-engineer test for maintainable agent-written code</li><li>How agent requirements change across enterprise, SMB, and entrepreneur scales</li><li>The unplug test for deciding whether an agent performs meaningful business work</li></ul><p><br></p>","author_name":"Nate B. Jones"}