Hardware de IA local usado para projetos AgentStack e OpenClaw
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AgentStack

O show diário de IA e os sistemas por trás dele: automações OpenClaw, conectores de dados fitness, modelos locais, hardware, avaliações e notas honestas de construção.

Notas de implementação

Relatos de campo do OpenClaw e AgentStack

A camada escrita e durável por trás do show diário: arquiteturas, modos de falha, decisões de conectores e sistemas em funcionamento.

Todos os artigos

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.

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