Cómo usar OpenAI Decisions API con Strands Agents
OpenAI lanzó una API de Decisiones. No es un modelo de chat al que convences para que elija: responde...
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How to use the OpenAI Decisions API with Strands Agents
OpenAI shipped a Decisions API. It isn't a chat model you coax into choosing: it answers a bounded...
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The model that decides instead of chatting. Tech & AI Weekly by Eli, October 02 2026
Jev and Strands Decider launch a new kind of decision model, three frontier labs ship in days, and prices fall across the board.
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AI Agent Audit Trails: Prove Why Your Agent Decided, Not Just What
Record why an agent decided, live, with zero tool changes. Store the traces in Neo4j with the official SDK and run the reverse audit a flat store can't express
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Same model, 5x the bill, depending on the harness. Tech & AI Weekly by Eli, September 18 2026
Berkeley's harness-tax study found the same model costs up to 5x more depending on the harness. Plus: the best coding agent fails 60% on unseen code, and GitHub rewrites the Copilot runtime in Rust using Copilot.
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Semantic Caching for AI Agents in Production
Semantic caching for AI agents fixes something that should embarrass all of us: an agent paying full...
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How to Stop AI Agent Memory Poisoning
Memory poisoning is the attack a prompt injection leaves behind: one malicious message that your AI...
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El Prompt Caching No Es Suficiente
El prompt caching solo descuenta tokens de entrada. Descubre dónde puede cachear un agente de IA y añade cachés semántico y de razonamiento que recortan el cost
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Can AI build your agent? A benchmark says 23.9%. Tech & AI Weekly by Eli, September 11 2026
Sierra's benchmark asked coding agents to build a working AI agent. The best passed 23.9%, and one sentence about architecture took another from 31% to 67%.
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Prompt Caching Isn't Enough
Prompt caching only discounts input tokens. Map where an AI agent can cache and add semantic and reasoning caches that cut agent costs up to 85%.