Six technical stories that begin with an everyday mess and follow Agents from a small runnable example to an operable production system.
Abu first considered hiring an AI coworker on a Monday morning. By four o'clock, he had answered 38 questions. Twenty-nine were already covered by company policy, six belonged to other departments, and only three required his judgment. Almost all his time had gone to the first two groups.
Read the story →At eleven one evening, the first support Agent went live. The operator asked it three questions, the product manager took a screenshot, and the team chat filled with thumbs-up reactions.
Read the story →At 9:03 on Monday, Alice answered the same question for the fourth time: “Where is the expense portal?” By lunch, she had become a human search box.
Read the story →When orders slow down at 2:17 a.m., one engineer blames the database, another blames the latest release, and a third asks about the dependency. The awkward part is that nobody knows how many specialists the incident will actually need.
Read the story →The analyst posts a long message. The implementer returns from lunch to eighty replies. The tester asks, “What are we actually changing?” A meeting is scheduled to reconstruct the previous meeting.
Read the story →Jamie is asked to check service health on the hour, every hour, thirty seconds after startup, and whenever a business event arrives. Jamie brings four alarms to work. At 9:00 they all ring during a test, proving the service is healthy and the on-call engineer is not.
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