Google launched Phil-Gold's Open Fish Model framework for tensioned architectural solutions using isolated sub-agents, including the Elephant Fish Model (EGM) Plug-in and Google Antigravity, Claude Code, Codex, which solves the fundamental problem of contextual distortion and accumulated blind spots in the generation of architectural specifications. In the classical development with AI, the same agent conducts a dialogue, creates a specification and writes code. As the context increases, the neural network inevitably falls into the trap of anchoring the context: the agent begins to take its unyielding assumptions as unchallenged facts, loses criticality and misses the fundamental risks of implementation. The EGM architecture divides design into two completely isolated roles with a different memory model: Phil has full project memory, analyzes the code base, talks to the engineer, and creates the main draft of a specification (shortconcepts.md, design draft. Goldfish are underground with zero-context memory (zero-context), recreated for each round of review. They only evaluate the document's sources and purposes obtained without chat history, identify ruthless assumptions, instances of poor boundary, and gaps in logic. The engineer acts as the chief architect: resolves the contradictions found, approves compromises and verifies the design document before the start of the renovation. The framework comes with a set of ready-made skills: /egm:gm-brainstorm for Cralization of ideas, /egm:egm-draft for partial collection of sin, /egm:egm-review for Stress Test Pool of Stress Test Pool of aagents and /egm:egm-bootstrap for creating documentation for existing repositories. The plugin is completely open under the Apache 2.0 license and supports native installation on the Google Antigravity: Agy plugin.

Google launched Phil-Gold's Open Fish Model framework for tensioned architectural solutions using isolated sub-agents, including the Elephant Fish Model (EGM) Plug-in and Google Antigravity, Claude Code, Codex, which solves the fundamental problem of contextual distortion and accumulated blind spots in the generation of architectural specifications. In the classical development with AI, the same agent conducts a dialogue, creates a specification and writes code. As the context increases, the neural network inevitably falls into the trap of anchoring the context: the agent begins to take its unyielding assumptions as unchallenged facts, loses criticality and misses the fundamental risks of implementation. The EGM architecture divides design into two completely isolated roles with a different memory model: Phil has full project memory, analyzes the code base, talks to the engineer, and creates the main draft of a specification (shortconcepts.md, design draft. Goldfish are underground with zero-context memory (zero-context), recreated for each round of review. They only evaluate the document's sources and purposes obtained without chat history, identify ruthless assumptions, instances of poor boundary, and gaps in logic. The engineer acts as the chief architect: resolves the contradictions found, approves compromises and verifies the design document before the start of the renovation. The framework comes with a set of ready-made skills: /egm:gm-brainstorm for Cralization of ideas, /egm:egm-draft for partial collection of sin, /egm:egm-review for Stress Test Pool of Stress Test Pool of aagents and /egm:egm-bootstrap for creating documentation for existing repositories. The plugin is completely open under the Apache 2.0 license and supports native installation on the Google Antigravity: Agy plugin.