Engineering insights, design patterns, and lessons from building AI-powered tools at Pixl.
A capstone summary of the next tech decade: from systems and Knowledge OS to fine-tuned local models, robotics, and embodied products, with references to the earlier articles in the series.
Why I see robotics as the real destination of agentic systems, from educational companions and safety assistants to the broader convergence of AI, training, open source, and physical products.
Why the next step after harnesses and Knowledge OS is a layer of specialized fine-tuned local models for narrow tasks, stronger alignment, and more reliable execution.
A concise technical look at the two core layers behind my AI projects: the harness that drives execution and the Knowledge OS that structures memory and context.
Why companies won't get real value from AI by stacking tools on top of chaos, and why systems matter more than models.
A lightweight handoff protocol for multi-agent AI pipelines. A small JSON object that carries context between workflow stages.
> Initializing contact module...
> ..._
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