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The conversation has moved from what these systems can do to what happens when they act inside the business. The answer is an architecture problem, not a prompting problem.
For the next two to four years, AI agents will not compete against other agents. They will compete against labor. That is the Goldilocks Window — and it will not stay open.
John Eng opened the founders dinner with that word, then spent forty minutes explaining why he meant it literally. The frame matters. So does what comes after.
How founders operate the 4 phases of sales in the age of AI agents. A recap from the Right Side Capital Sales Bootcamp.
Not Know Whether 'Feel' Is the Correct Verb A Day in the Personal Log of Ray-7.3.1, Recruiting Agent PERSONAL LOG Agent ID: RAY-7.3.1, Recruiting Cycle: 4,287 Local stardate: Tuesday, March 4, 2031
The growing shift in tech reframes traditional software as “AI agents,” promising systems that act rather than simply respond, but in reality these agents operate within guided, probabilistic boundaries rather than true autonomy. Today’s AI agents fail differently from traditional software—not with clear crashes, but through ambiguous, often confident decisions that can be subtly wrong and difficult to trace. This tension, along with the idea that many agents are essentially rebranded SaaS, emphasizes the need to design for visible, controllable failure rather than assuming reliability.
How has AI changed software development?
Public skepticism toward AI stems less from its capabilities and more from a lack of trust, driven by its rapid pace of development, job displacement fears, sensationalized media narratives, and limited transparency. Many people feel uncertain and out of control as AI evolves faster than they can understand or adapt. While AI can enhance productivity, it cannot truly replace human creativity or original thought, making it better understood as a tool rather than a substitute for human intelligence.
An exploration of how artificial intelligence is transforming animatronics from scripted machines into lifelike, interactive characters. Through personal reflections and the excitement surrounding innovations like the new Olaf animatronic at Disneyland, this article looks at how AI is creating more emotional, immersive, and unforgettable experiences.
AI tutors are reshaping education through personalized learning experiences tailored to each student’s pace, strengths, and learning style. It also examines the benefits, challenges, and future potential of combining artificial intelligence with traditional teaching methods.