LLMs have broken the traditional software playbook: demos are misleading, expertise is shifting too fast to hire for, and the conditions surrounding AI adoption are the worst possible for building the learning organization you actually need.
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Mid-way through building an agentic application, I got stuck. I found myself needing to make it work, make it right, and make it fast, all at once, and progress was slow.
Reframing it as a distributed system helped me recognize where my problems were coming from and got me going again.
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Observability, tool design, and model selection are harder than the orchestration loop. Lessons from building an agentic charting tool with Plan and Execute.
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With large language models capable of generating convincing documents without real thought, this insightful article explores the critical need for new “Proofs of Thought” to ensure genuine intellectual engagement and prevent workplace processes from becoming mere facades.
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