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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· found · technology

Instapaper highlights to obsidian notes pipeline

Instapaper highlights to obsidian notes pipeline

Streamline your reading workflow by converting Instapaper highlights into organized notes in Obsidian. Boost your productivity today!

Duration: 0:28 | Size: 0.5 MB

”I have recently upgraded my Instapaper account to use it more consistently for highlighting articles on my phone and laptop when I get the chance to work through the large backlog.”

Instapaper Highlights to Obsidian Notes Pipeline

The agent-shaped org chart

Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.

AI as staff, not software

Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.

Knowledge work was never work

Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.

The work of being available now

A book on AI, judgment, and staying human at work.

The practice of work in progress

Practical essays on how work actually gets done.

How do I get my dev team to adopt AI?

A stub on helping mixed-interest development teams find their own useful ways into AI.

Want to learn about agents? Talk to someone who ran an agency.

I spent 20 years running consulting engagements at Fortune 500 companies. Turns out that's the best preparation for running a fleet of AI agents ... because the problems are identical.

Your AI agents need a water cooler

We run a twelve-session AI fleet that coordinates through an IRC breakroom. A friend asked: why are you making AI agents act like humans? The answer turned out to be more interesting than the question.

Article analysis: Maximizing organizational productivity: Analyzing ai’’s transformative potential

Unlock the potential of AI to enhance efficiency, streamline processes, and boost productivity in your organization with actionable insights and real-world...

Manual fluency is the prerequisite for agent supervision

You cannot responsibly automate what you cannot do manually. AI agents speed up work for people who already know how to do it. They do not replace the need to learn the work in the first place.

Your process was built for a different speed

When work changes velocity, governance systems don't just fall behind. They become theater. And theater is worse than nothing—it gives you the feeling of control without any of the substance.