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Santiago (@svpino) highlights AG-UI as the fastest-growing agentic protocol after MCP, a lightweight event-streaming protocol for building user-facing AI agents with support for real-time updates, tool orchestration, shared mutable state, security, UI sync, and now threads for resumable conversations.
The LOOP Skill Engine achieves 99% success and 99% token reduction for periodic AI agent tasks by recording a single LLM-driven execution and replaying it deterministically via a parameterized, branch-free skill, eliminating stochastic failures and high costs.
This paper proposes typed mediation, where language models orchestrate deterministic tools instead of generating analytical code, ensuring identical outputs across regenerations. Evaluated on photoluminescence analysis, the pattern achieves perfect reproducibility across multiple runs, unlike commercial foundation models, and has been deployed successfully in real instruments.