Stop Treating AI Agents Like Junior Employees
AI agents need distributed-systems discipline: durable state, idempotent retries, tracing, scoped permissions, and explicit human approval.
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AI agents need distributed-systems discipline: durable state, idempotent retries, tracing, scoped permissions, and explicit human approval.
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Four open-source Skynet products reveal why verification must follow the product layer—and why unavailable evidence is not a pass.
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Two Windows hosts on one Chrome build returned different accessibility-tree node totals. The experiment shows why viewport and node roles must be reported.
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A controlled Chromium and Firefox study separating UI settlement, correlated transport completion, and action-specific semantic success evidence.
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A measured Skynet field study of UIA, CDP, coordinate mapping, occlusion, and provider acceptance with corrected experiments and raw evidence.
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I built RStackBench to test when browser agents look successful but fail the requested state: 288 conditions, 864 traces, and an open preprint.
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Benchmark accuracy and operational reliability are different properties. Two 2026 papers show capability gains barely moved reliability.
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A preregistered 600-case study showing why route verification needs final-URL coherence plus application-specific semantic anchors.
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A frozen-evidence audit of 10 verified-live remote job posts found 8 of 9 hard geographic constraints were absent from search snippets.
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An RX 6600 DirectML benchmark verified both LSTM nodes on DirectML, found CPU median latency lower, and withheld 1,062 unvalidated forecasts.
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I wanted the small, direct feel of a raw Chrome DevTools connection in Firefox without pulling in a full automation framework. Firefox no longer exposes CDP, so I built a roughly 700-line Python adapter that gives my code a CDP-style Tab API over WebDriver
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A proof-backed field note on separating deterministic risk gates from neural review, using a real Gemini 3.5 and ChatGPT research run and official 2026 guidance.
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