Model DG-1· Ser. 2026· Code · Build · Ship
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ChatGPT· 19 March 2026 ·10 min read

Cross-Project Auditing with Parallel AI Agents: A Methodology for Multi-Service Codebases

When enhancement work spans multiple applications and rendering services, how do you systematically verify that everything was implemented correctly? This article describes a methodology where parallel research agents each audit one phase of work, cross-referencing plan documents against actual implementations to surface dead code, missing integrations, and data extraction brittleness.

Article trace — rendered from this article's block sequence 32 blocks
Prose reads low · code spikes · terminal clusters · bays are blocks Live playhead on the transport bar below
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Monitor wall — videos

Click-to-load posters · no iframes at rest
Short·—:——·OfflineCH —
NO INPUTnext clip docks here
Genuinely empty — no fake signal

The wall is an index, not an ad — clips register here once the curated list is configured. No-JS: the poster links straight out and the session stands alone.