

Agentic Loops for Knowledge Workers
In this episode, NLW and Nufar Gaspar explain how knowledge workers can move beyond one-shot prompting and use agentic loops to produce more complete, reliable work. They break down how to design verifiable finish lines, decide which tasks should be looped, prevent runaway costs and compose multiple agents into work…

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What people are saying
“These ornate systems just confuse people and make things over complicated. Most of this can be boiled down to: Give an agent a clear objective, measurable acceptance criteria, permission to iterate, and a stopping condition. This is already…”
“The under-discussed implication: the bottleneck moves from "can the model do the task" to "can your org define the task crisply enough to hand off." Most knowledge work is under-specified on purpose — that's the moat that's actually eroding…”
“Excellent slidedeck and presentation. Your list of items confirms my implementation path. Interested to see when you tackle the next layer up, the self-improving company and tying in KPIs or other long term goals.”
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