
AgentStack
El programa diario de IA y los sistemas detrás de él: automatizaciones OpenClaw, conectores de datos de fitness, modelos locales, hardware, evaluaciones y notas honestas de construcción.
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AgentStack Daily
Episodios diarios sobre modelos, hardware, evaluaciones, seguridad y los sistemas que se construyen en torno a ellos.
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Informe de conectores fitness
Una arquitectura lista para agentes para Garmin, WHOOP, Speediance, Cronometer, 8Sleep e informes normalizados.
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Asistente de fitness con IA
Cómo se ensambló el asistente de datos de fitness, qué automatiza y dónde siguen estando los límites difíciles.
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Vídeos de AgentStack
Tutoriales de construcción, pruebas de modelos, hardware local, fallos y los sistemas detrás del programa diario.
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Informes de campo de OpenClaw y AgentStack
La capa escrita y duradera detrás del programa diario: arquitecturas, modos de fallo, decisiones de conectores y sistemas en funcionamiento.
Build Logs
OpenClaw Finally Made My Fitness Data Useful
OpenClaw is usually shown as a content machine. My version is less flashy: a local agent system that turns scattered fitness data into daily training decisions.
Field Reports
Agent Brief: Build OpenClaw Fitness Report Connectors for Garmin, WHOOP, Speediance, and More
An agent-ready implementation brief for building OpenClaw fitness report connectors across Garmin, WHOOP, Speediance, Cronometer, 8Sleep, normalized JSON snapshots, and public GitHub repos.
Field Reports
How I Built My AI Fitness Assistant with OpenClaw
Toby explains how he built a personal AI assistant to correlate data from Speediance, Tonal, Garmin, Whoop, and 8Sleep - creating morning and nightly fitness reports that tell him how hard to train and how well he performed.
Build Logs
Building an AI Assistant That Manages Everything
How I built a custom AI on OpenClaw that tracks BJJ, analyzes recovery data, and generates training reports.
Build Logs
I Built an AI That Reads My Recovery Data Every Morning — Here's What It Actually Outputs
I spent a week building a custom fitness intelligence system on OpenClaw that pulls from six data sources and generates a morning training recommendation before I wake up. Here's the real output, the decision logic, and what I've learned from running it daily.
Signal vs. Noise
I Built an AI System That Manages My Entire Fitness Life. Here's How.
OpenClaw isn't just for developers. I use it to pull data from Garmin, WHOOP, 8Sleep, Speediance, and Cronometer - then generate morning and nightly fitness reports automatically. Here's my setup.
Usa el podcast para la historia en movimiento y los informes de campo para la duradera
Los episodios diarios rastrean lo que cambió. Los informes escritos preservan la arquitectura, la evidencia y los detalles de implementación que vale la pena encontrar más tarde.