How we built a cost-efficient but powerful web research agent:1. Aggressive model routing - many agent harnesses orchestrate intelligent task planning models with cheaper models for subagents (e.g., summarization). However, given the price of frontier models, there is advantage to doing model routing at all layers.2. Subagents - complex web research tasks often require high parallelization, so you need subagents to avoid context bloat and ballooning costs in a main agent loop.3. Contents efficie

@FastCompany just published a great piece on @theworldlabs , @drfeifei , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI.I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me.https://t.co/mdWBmSuNBeMy starting point: volumetric capture—For the past few years I’ve been exploring and using volumetric capture and

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