Building Your First Three Core AI Business Workstreams

This document outlines a strategic framework for building an initial AI team, advising against the complexity of 12 agents in favor of three focused, recurring workstreams: Research, Content, and Operations. These workstreams are designed to create linked business loops where agent outputs trigger subsequent, value-added actions. Core Workstreams: 1. Research: Focuses on competitors, pricing, market updates, and providing one actionable recommendation per finding. 2. Content: Manages 30 ideas monthly, handling drafting, editing, and repurposing, while enforcing quality gates for voice, hook, usefulness, and originality. 3. Operations: Manages inbox triage, meeting preparation, weekly reporting, and follow-up tracking. Implementation: Every AI agent must utilize a 5-part setup: 1. Role prompt; 2. Tool access via MCP (Model Context Protocol); 3. Knowledge base; 4. Repeatable workflow; 5. Output format. The core philosophy is to create interdependent loops. For example, when a Research agent identifies a competitor move, the Content agent drafts a public response, and the Operations agent prepares customer follow-up communications. Entities and Tools: The primary technology referenced is MCP (Model Context Protocol) for tool integration, and the advice is provided by the entity Alpha Batcher. The document emphasizes that successful AI integration relies on interconnected business processes rather than the mere quantity of agents deployed.