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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· artificial-intelligence · found

Bookmark: Why agents will change everything you know about AI

Discover how autonomous AI agents are revolutionizing industries, enhancing efficiency, and transforming the workplace for sustained success and innovation.

In the article “Why Agents Will Change Everything You Know About AI” by Adam Evans, the central thesis posits that as we enter the “agentic era” of Artificial Intelligence, autonomous agents will revolutionize the workplace. This era represents the third wave of AI innovation, following predictive AI and generative AI, now moving towards systems capable of reasoning, reflecting, and executing multi-faceted tasks independently. These AI agents promise to transform industries by automating repetitive tasks, optimizing processes, and enhancing customer experiences. For instance, in a customer service scenario, an AI agent can diagnose appliance issues, order necessary parts, and schedule repairs without human intervention, as exemplified by companies like Fisher & Paykel using Agentforce to streamline operations. Additionally, AI agents augment human abilities, offering real-time insights and advice during tasks like sales calls, which expand employee capacities beyond traditional limitations. The article illustrates that organizations embracing agentic AI through robust platforms like Salesforce’s Agentforce can reduce costs, increase efficiency, and remain competitive. Conversely, those delaying adoption may struggle to adapt to fast-evolving market demands. AI agents thus signify a transformative force in business, marking a crucial shift that ensures sustained success and innovation Why Agents Will Change Everything You Know About AI

Nobody takes you aside anymore

Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.

Your AI agents need a water cooler

Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.

On the death of the author and the birth of the detector

Why worrying about AI authorship is lazier, and more prejudiced, than it looks.

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 to manage content for multiple clients without flattening their voices

How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.

Why does AI writing sound generic? It has nothing to work with

Why does AI writing sound generic? Because the model has none of your perspective, examples, constraints, or stakes to work with. The fix is interview-first, not better adjectives.

How to train AI to write in your voice, not your vibe

How to train AI to write in your voice isn't a prompt trick. It's a system: writing samples, interview answers, keep/avoid lists, revision loops, and approval gates.

Article analysis: “Salesforce’’s Agentforce: Transforming enterprise operations with advanced AI integration”

Discover how Salesforce's Agentforce leverages advanced AI to transform enterprise operations, enhancing efficiency and customer satisfaction across industries.

Article analysis: Harnessing agentic AI: Transformative potential, data foundations, and future work dynamics

Explore how agentic AI transforms workplaces through data quality and human-machine collaboration, unlocking new potential for innovation and creativity.

Article analysis: The AI advantage: Why return-to-office mandates are a step back

Explore how return-to-office mandates hinder workplace progress and trust, while AI-driven hybrid models boost employee morale and productivity.