agent-architecturelisted

# AI Agent Architecture for GTM ## Overview AI agents are transforming GTM — not as replacements for humans, but as force multipliers that handle research, drafting, routing, and analysis. This skill covers agent design patterns, tool selection, multi-agent orchestration, and human-in-the-loop design for GTM workflows. ## Frameworks Referenced This skill is grounded in public frameworks and source material relevant to the task: - **Anthropic Agent Design Patterns.** Use the relevant method or published guidance where it improves the requested deliverable; do not cite it as decoration. - **ReAct Agent Framework.** Use the relevant method or published guidance where it improves the requested deliverable; do not cite it as decoration. - **Anthropic — Agent Skills Progressive Disclosure.** Use the relevant method or published guidance where it improves the requested deliverable; do not cite it as decoration. ## When to Use - "Design an AI agent for [GTM task]" - "Agent architecture for sales" - "Build a multi-agent GTM system" - "AI agent for prospecting/enrichment/outreach" ## Step-by-Step Process ### Phase 1: Task Decomposition Break GTM work into agent-compatible tasks: **High-fit for agents (automate first):** - Lead research and enrichment - Data cleaning and normalization - First-draft email/pitch creation - Meeting research and briefing - CRM data entry and hygiene - Signal detection and alerting - Campaign performance analysis - Reply categorization and routing *