Human-AI Collaboration
Designing Workflows and Structures for Hybrid Intelligence
Reimagining work for effective human-AI partnerships through first-principles problem decomposition and systems thinking. Covers designing AI-augmented workflows, restructuring organizations and roles, orchestrating human-AI contributions and interaction patterns, delegation strategies, quality assurance in hybrid systems, and strategic alignment of capabilities with business objectives. Maturity evolves from humans simply using AI tools to intentionally architected systems where human judgment and AI capabilities are strategically combined for superior outcomes.
Insights
AI Agents Survival Guide: Most Will Fail by Repeating the Telephone Operator Mistake
Examines autonomous AI agents that can plan, execute, and adapt with minimal human oversight. Provides frameworks for identifying appropriate use cases, designing guardrails and oversight mechanisms, managing the risks of increased autonomy, and evolving from copilots to agents as trust and capability mature.
The Automation Tax: Why Better AI Makes Humans Worse at Their Jobs
Explores the critical interfaces where human judgment and AI automation intersect. Covers designing effective handoff points, calibrating appropriate trust, managing edge cases and exceptions, building feedback loops that improve both human and AI performance, and measuring collaboration effectiveness.