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Production-grade AI automation. N8N workflows, Claude/Gemini/GPT integrations, and the agentic patterns Anyro uses to run a multi-7-figure operation with minimal staff.
AI automation in 2026 means orchestrating LLM calls (Claude, GPT, Gemini) inside workflow tools (N8N, Make, Zapier) to handle email, content, sales, and ops without human input. The unlock is treating LLMs as decision nodes inside deterministic pipelines — not chatbots — and pairing them with retrieval, structured outputs, and guardrails.
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N8N for complex/AI-heavy workflows (better LLM nodes, lower per-execution cost, self-host option). Zapier for simple CRM-style automations where you need pre-built apps. Make.com sits in between with visual flow design and reasonable LLM support.
Claude for code/agentic workflows and complex reasoning, GPT for general-purpose with broad tooling, Gemini for cheap/long-context retrieval. Most production automations route by task type rather than picking one model exclusively.
High-leverage, well-defined repeatable tasks: email triage, content drafting, lead qualification, customer support tier-1, data extraction, social media scheduling. It does NOT replace high-judgment work, novel problem solving, or relationship-driven sales.