SimplAI's new framework separates agent profiles from reusable skills, letting businesses build consistent, scalable AI agents without rebuilding workflows each time.

What happened: SimplAI introduced a structured architecture that divides AI agents into two parts—a short agent profile (role and purpose) and detailed skills (step-by-step task logic). The framework requires agents that use skills to operate in Harness Mode, where the agent delegates subtasks to predefined skills, rather than Planning Mode, which does not support skill delegation.

Why it matters: This separation addresses a core problem for enterprise teams: skills become reusable across multiple agents, updatable without touching the agent profile, and auditable (you can trace exactly which skill ran and what it produced). A single skill like SEO Optimization can attach to many agents, and changing one skill does not break others.

What to watch: SimplAI's lesson framework covers how to structure agent profiles (role definition, expertise scope, and behavioral principles only—nothing else) and detailed skill anatomy (name, description, and full execution logic). The SEO Optimization skill example demonstrates what production-grade instructions cover: keyword identification, content structure, keyword placement, meta description generation, internal link briefs, and readability checks, all running automatically.