Add n8n CEO AI Enterprise Workflow v3 with expanded multi-agent teams

[eren125]

Motivation

• Implement a more granular multi-agent research layer by splitting neuro-symbolic work into dedicated symbolic and deep-learning agents to support domain-specific Q&A and follow-ups.
• Ensure all research agents funnel results into a single presentation-focused agent that prepares article summaries and a PPT outline for easy consumption.
• Expand the development and testing structure and add a communication team so the workflow can hand off specs, run multi-domain tests, and produce meeting minutes and general writing outputs.

Description

• Added a new n8n workflow file ceo-ai-enterprise-workflow-v3.json that defines the full CEO → Research / Dev / Communication → Assistant → Final synthesis flow.
• Extended the research manager to spawn five research agents including Research Agent 2A - Symbolique and Research Agent 2B - Deep Learning, and consolidated results via Consolidate Research Results into Article Presentation Agent which also produces a ppt_outline.
• Implemented development nodes with Development Team Lead, two dev agents (Dev Agent IA, Dev Agent Data Scientist), a Testing Team Lead, and four specialized testing agents (Papers, Deep Learning, Symbolique, Neuro-Symbolique) plus merge nodes to collect outputs.
• Added a communication team with Communication Team Lead, Meeting Minutes Agent, and General Writing Agent, plus an assistant consolidation node that builds an email and a unified Send Email - Unified node and a webhook JSON response for the final synthesis; the webhook defaults the recipient to mail.mail@gmail.com when no email is provided.

Testing

• Validated JSON syntax of the created file with jq empty ceo-ai-enterprise-workflow-v3.json, which completed successfully.
• Confirmed the workflow file was created at ceo-ai-enterprise-workflow-v3.json in the workspace for review and import into n8n.

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Codex Task