AI Agents Are Working. Can We Keep Up?
AI agents are working. Can we keep up?
Meet Greg Petrossian
From prompting to agents that keep working
One AI agent or a whole team?
Can AI spot what you missed?
More AI output, more dropped balls?
Could you work a week without AI?
What happens when your AI expert leaves?
AI doomerism vs. everyday reality
When AI agents break the rules, who is responsible?
Can AI defense keep up with AI attacks?
Why AI policy keeps falling behind
Keeping AI useful when the headlines get weird
Would you let an AI agent spend money?
Episode 27: AI Agents Are Working. Can We Keep Up?
Justin and Kellan compare notes with Greg Petrossian on how they use AI agents: one primary assistant, specialist agents, and an agent that delegates to others. They discuss what’s working, where they still need to make the decisions, and what happens when they take on more work than they can manage.
In This Episode:
- Greg’s software factory: architect, engineer, security, QA, and red-team roles.
- Why Kellan still measures his AI assistant against a great human assistant.
- An agent catching the wrong event time, and why one success doesn’t prove it’s reliable.
- Learning the work before handing it to AI, taking on a manageable workload, and documenting what the next person needs to know.
- Greg’s experiments with agent payments and invoicing, and the risks of letting agents handle money.
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