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<video:description>Until now, AI did what you asked: you typed, and it answered. That's already changing. In past years, my teams used AI agents to build software and enterprise solutions. The agents did the work, but a person always told them what to do next. Now agents don't wait to be asked. They work proactively: they search, compare and negotiate for you. And often, the other side is an agent too. The internet and your phone were both new once, and now you don't even notice them. Agents that act for you will become just as normal, and much faster. Soon your agent will close a deal with someone else's agent, with no person in the room. But the deal still carries your name. Until now, you decided what to ask. Now decide what your agent may do without asking, and who answers when it does.</video:description>
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<video:description>AI is exposing the unclear decisions that slow delivery used to hide. Meetings, reports and long build times used to cover them. There used to be a long gap between a decision and its delivery. The work lagged behind, and the decision shifted on the way. Now delivery is fast, and even a small decision ships almost at once. That's why seniors and juniors use AI so differently. Seniors use it to turn their decisions into delivery. Juniors use it as a sparring partner, to reach decisions. Both are valuable, and both carry a risk that's easy to miss. If you're senior, check that AI didn't quietly change your decision while delivering it. If you're junior, check that it isn't steering you the wrong way. The faster delivery gets, the more each decision needs a second look after it ships.</video:description>
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<video:description>Your AI feature passes every test, and customers still don't use it. I see this every week. Most teams test AI the way they test code: a fixed question, an expected answer, pass or fail. But an AI answer is only right if it helps the customer. In my research, about four in five AI evaluations only check if the answer is correct. About one in five checks if it does the customer's job. An answer can be correct, and still useless. So before you test, decide what good looks like. Five things. First, the job it does for the customer. Second, what it may do on its own. Third, when the work counts as done. Fourth, who answers when it's wrong. And fifth, what the work is worth. Correct answers cover just one of the five. Testing AI is product work. Start from your customer's job, and a passing score finally means something.</video:description>
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<video:description>Under every AI chat box sits one honest sentence: AI can make mistakes, please double-check. Read it as a contract. AI now writes the code, draws the screens, designs the system and makes decisions. That work got fast and cheap, but the responsibility stayed with a person. An AI can make a decision, but it can't own one, and nobody can hold it to one. So whoever runs the AI answers for all of the work. So the cost of building software has moved. It's no longer in writing the code. It's in deciding two things: are we building the right thing, and are we building it right? Those decisions stay human. Let AI do the work. Keep the decisions, and own them. That's your job now.</video:description>
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