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Writing from the Bento team on building agents that compound.

Notes, essays, and technical deep-dives on AI observability, evaluation, and the closed-loop systems we ship every week.

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  RESEARCHApr 18, 2026

  2.6× higher scores on ARC-AGI-3 with a self-learning layer: same agent, same budget

  We validated a self-learning engine on ARC-AGI-3. Same agent, same tools, same budget — 2.6× the score, 34% cheaper per successful outcome, three first-ever solves.

  8 min read

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  PERSPECTIVEApr 20, 2026

  Nature vs. Nurture in AI agents: diagnose the layer that's actually breaking

  AI agents that work in pilots often degrade in production. It's usually a diagnostic failure, not a capability one — here's how to spot the layer that's actually breaking.

  7 min read