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Articles filed under AI Architecture in the Journal.
22 articles
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A readable transcript can still be the wrong input for code. Choose its number representation before treating a schema check as evidence of correctness.
Five lessons from Meta Muse show why agent approvals need an independent authority, readable scope, and recoverable evidence. Apply the five-field receipt.
A typed model answer is an inference result, not a workflow transition. Record it once, pin the policy that consumes it, and replay the same decision without silently asking again.
GPT-6 Astra raises the operating stakes for computer-using agents. Use five controls to define authority, evidence, approval, and recovery beyond the model.
Compare DeepSeek Harness and Pi coding agent by architecture, MCP support, approvals, sandboxing, and session evidence. Choose the operating burden your team can own.
Scoped MCP tool access gives each task an exact external action set, checks it before execution, and gives blocked work a visible human handoff.
A capable AI agent is deployable only for a defined task whose tools, network routes, environment, monitoring, interruption, and escalation boundaries are explicit.
MCP Sampling is deprecated under SEP-2577, but direct provider APIs do not assign the bill. Use a five-field ownership record before choosing a replacement path.
Use MCP to connect ChatGPT, Claude, Cursor, and Codex to the same project board, then keep the board as the narrow source of truth for scope, status, evidence, and next action.
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