Open ETF Agent v0.5
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- An Evidence Contract for AI Agent Engineering Claims
A technical article argues that a complete explanation and a public repository do not by themselves validate an AI agent’s claimed capabilities. Using Open ETF Agent v0.5 as a case study, the author maps technical claims to implementation locations, fixed source versions, runnable targets, verification receipts, and narrowly defined behavior. The article also explains how structured coverage checks distinguish verification of existing records from an actual rerun of a bounded target. The v0.5 example covers explicit saving, revising, and forgetting with synthetic inputs; it does not demonstrate a complete account-level memory service or automatic semantic learning.
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