Blog
Insights on AI automation, agentic workflows, and business transformation.
Uncanny Labs: AI Workforce Agency
78% of companies adopted AI. 80% see no earnings impact. Uncanny Labs closes the gap with AI workforces — agent teams that take over whole business functions end-to-end.
Arthur Simonian·
The Board of Directors That Meets Without Us
An AI board of directors that meets every morning at 11, argues over real industry news, and produces real strategic motion.
Arthur Simonian·
The Five Workflow Archetypes: Patterns for Composing AI Agents into Systems
Agents alone aren't a system. Five archetypes (Prompt Chaining, Routing, Parallelization, Orchestrator-Workers, Evaluator-Optimizer) describe how agents compose into workflows that survive production.
Arthur Simonian·
The Progressive Autonomy Ladder: How AI Agents Earn Their Way from Assist to Own
Autonomy has four rungs: Assist, Recommend, Act, Own. Agents earn each one through evidence, not timeline. Here's how each agent type climbs, and how you know when to let them.
Arthur Simonian·
The Four Components of an AI Agent: Brain, Memory, Tools, Governance
Every AI agent has four components: Brain, Memory, Tools, Governance. Missing any one creates a gap. Here's the anatomy and the design principles that keep each honest.
Arthur Simonian·
The Five AI Agent Types: A Taxonomy for Agent System Design
Most 'AI agents' aren't agents. They're five different things pretending to be one: Assistant, Analyst, Tasker, Orchestrator, Guardian. When a team doesn't know which is which, the system ships chaos.
Arthur Simonian·
The AI Value Gap: Crossing the Uncanny Valley
88% of companies use AI. Only 39% see any earnings impact. 95% of pilots never reach production. The AI Value Gap is a workflow problem, not a tech problem.
Arthur Simonian·