courses ·
Building with Agents
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A practitioner-level course for founders integrating AI agents into real products. Covers human-in-the-loop design, trust, and delegation.
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- 01
Debunking AI job-loss panic
"Career coaches" are fear-farming the Stanford AI hiring study [debunk]↗Before building with agents, understand the noise. This debunk of a viral hiring study shows how displacement data gets distorted. Know what you're actually building against.
- 02
Right-sizing your stack
Knowledge workers don't need frontier models↗Most knowledge work tasks don't need frontier models. Understanding model selection early saves architecture headaches and cost surprises later.
- 03
An agent as a founder
Thomas: The first AI founder↗What happens when an AI agent runs a company? One of the earliest real experiments in autonomous startup operation. Read it for the edge cases it surfaces about trust and delegation.
Bezos' framing aligns with intheloop's core thesis: agents multiply human output, they don't eliminate humans. Use this as the north star when designing your human-in-the-loop touchpoints.
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