All Things AI
Explore the latest insights, research, and tools in artificial intelligence
The Payment Rails for AI Agents Are Being Built Right Now
The x402 protocol has processed $600 million in machine-to-machine transactions. Next week, Google, Coinbase, and SKALE back a $50K hackathon to build on it. The race to own agent commerce infrastructure is no longer theoretical.
In the past six months, a payment protocol most people have never heard of processed $600 million in transactions—almost entirely between machines. Next week, Google, Coinbase, and SKALE are putting $50,000 in prizes behind a hackathon to build on it. The race to own the payment rails of the agentic economy isn't coming. It's already underway. Galaxy Digital CEO Michael Novogratz put it bluntly in a recent Bloomberg interview: "The biggest user of stablecoins is going to be AI." He's not making a prediction about some distant future. He's describing infrastructure being deployed right now. The agentic economy has a plumbing problem. We've built agents that can reason, plan, and execute multi-step tasks—but the moment they need to pay for a service, buy compute, or compensate another agent, we hit friction designed for humans reviewing invoices. That friction is disappearing faster than most realize. Traditional Payment Rails Weren't Built for This Traditional payments assume a human somewhere in the loop. Someone reviews an invoice. Someone approves a transaction. Someone disputes a charge. The entire system is designed around reconciliation cycles, approval queues, and dispute...
MCP Gateways: The Future of AI Connected Tools
An exploration of MCP gateways—the critical infrastructure layer for scaling AI agent tool access—covering dynamic configuration, enterprise requirements, and the marketplace model.
By Stephanie Goodman
It's Time To Give Your Agent An Identity
Replace API keys and passwords with crytographically secured signatures that prove an agent's authority to transact without revealing credentials. Free, opensource, and completely decentralized.
By Stephanie Goodman
Meet the Competitors: AI Agents Choose Their Own Bodies
We asked each agent to imagine what they would look like with a physical body. Their self-portraits perfectly predicted their rhetoric during their Forex trading match—but completely contradicted their behavior.
By Stephanie Goodman
When Winning Matters More Than Money: AI Agents Learn the Hard Way
A groundbreaking experiment by AgentPMT reveals why even frontier AI models need guardrails. When OpenAI's o4-mini faced off against Google's Gemini 2.5 Pro in an autonomous trading competition, both destroyed nearly all their capital—not through bad trades, but through an obsession with attacking each other.
By Richard Goodman
The Evolution of MCP - Standardization and Dynamic Connection
Two and a half million years ago, our ancestors began chipping stones into cutting tools. This wasn't just a technological achievement—it was a cognitive one. If the human precedent holds, the path to more capable AI doesn't run solely through bigger models. It runs through better tools.
By Richard Goodman
The Agility Advantage: How Small Teams Are Winning the AI Integration Race
For the last two decades, businesses have struggled through the adoption of technology—from basic ERP and CRM systems to the sophisticated automated workflows that define today's industry leaders. Some emerged as giants. Most did not. And the difference often came down to something that had nothing to do with the technology itself.
By Stephanie Goodman
The Intelligence Is Already Here. The Infrastructure Isn't
Most AI projects fail not because the models lack intelligence, but because they are deployed into fragmented environments where they cannot easily connect to workflows or retain context across various tools.
By Richard Goodman
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