SkepSkep
All episodes
The AI Daily Brief: Artificial Intelligence News and Analysis — Agentic Loops for Knowledge Workers
Scout ratingSCOUT· 39%57m·2026-09-03·Technology

Agentic Loops for Knowledge Workers

The AI Daily Brief: Artificial Intelligence News and Analysis

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…

Listen in your app
Buzzmeter · cross-platform
Scout rating
39%
SCOUT

Scout bees are checking it out — divided opinions, the swarm hasn't committed.

Platform
39%
Community
no read yet
Value
no read yet
Hive Vote · Skep listeners
New on SkepAwaiting the hive's first votes

Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.

Rate this episode

Add your vote to the Hive — listeners rate every episode after they finish.

Rate this episode
Recent reviews
  • No reviews yet — be the first.

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…

@sheeraz_ · YouTube comment

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…

@airevlab · YouTube comment

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.

@ThirdBrainTech · YouTube comment

One great episode in your inbox, daily — free.

One email a day, unsubscribe anytime. No spam, ever.