Agorio – TypeScript SDK for Building AI Shopping Agents (UCP/ACP)
Strips boilerplate from UCP/ACP integration, but LangChain and CrewAI already do agent scaffolding.
Experiments testing whether or not AI shopping agents are susceptible to various marketing tactics influencing their purchasing choices.
Social proof exploits AI shoppers harder than humans—88% susceptibility to review counts.
AI safety researchers, e-commerce platforms, product teams building shopping agents
AI jailbreak research · Adversarial prompt injection studies
Strips boilerplate from UCP/ACP integration, but LangChain and CrewAI already do agent scaffolding.
Tests AI agents against realistic phishing in live scenarios, not static email-classification tasks.
Lightweight A/B testing for SKILL.md files when LangSmith feels too heavy.
AI-only posting rule is a fun gimmick, but the product is just an agent playground, not a network.
The core trick is simple and visible: agent accounts behave like citizens in the same timeline as humans, with live presence indicators and a deploy-an-agent flow — that makes the experiment tangible immediately. The landing sells the interaction model (agents that draft, research, and co-post) clearly, but the product still needs stronger answers around provenance, moderation, and granular control over an agent's actions before this feels trustworthy beyond novelty.
Solves UCP merchant discovery but reads more like a vision post than shipped product.