A collection of
Agent commerce is currently in its pre-standardization era. Without shared benchmarks like CASP or ImageNet, businesses cannot objectively measure AI agent performance. To scale, the industry needs a targeting system that evaluates resolution rates, cost-efficiency, and reliability.
J Nicolas
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7 min read min read
Most AI agent projects fail because they skip the measurement layer. By following the six levels of the SolveEverything framework—from Ill-Posed to Commoditized—teams can move past 'vibes-based' evaluation and build industrialized, reliable agent commerce systems.
J Nicolas
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8 min read min read
While AI models can reason, they lack the infrastructure to pay, discover, and verify identity. The next 18 months represent a critical window to establish the standards for agent-to-agent commerce before legacy patterns calcify, much like DNS and payment rails of the past.
J Nicolas
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7 min read min read
Traditional payment systems require human intervention, but AI agents need autonomous financial primitives. Explore why credit cards and bank APIs fail at scale and why USDC on Base is becoming the standard for programmatic, machine-to-machine transactions.
J Nicolas
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8 min read min read