Highlight from Why I'm Betting Against AI Agents in 2025

After building AI systems, here’s what I’ve learned:

1. Error rates compound exponentially in multi-step workflows. 95% reliability per step = 36% success over 20 steps. Production needs 99.9%+.

2. Context windows create quadratic token costs. Long conversations become prohibitively expensive at scale.

3. The real challenge isn’t AI capabilities, it’s designing tools and feedback systems that agents can actually use effectively.