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Human-AI Collaboration: Best practices for working alongside AI

Human-AI Collaboration: Best practices for working alongside AI

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Spending more time fixing your AI outputs then you're saving?

You're not alone.

The trap?

You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop.

The real winners in the AI race?

Companies that have changed the human-AI relationship.

How?

Join us for Volume 4 of our Start Here Series as we uncover what you need to know.

Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan Wilson


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Topics Covered in This Episode:

  1. Human-AI Collaboration Best Practices 2026
  2. Shift from Operator to Orchestrator Roles
  3. Human-in-the-Loop Limitations Explained
  4. Expert-Driven AI Review Loops vs. Generic Oversight
  5. Orchestrating AI Agents for Business Productivity
  6. Building Reusable AI Context and Skills
  7. Elevating AI Champions on Team
  8. Human Strengths vs. AI Strengths in Workflows
  9. Avoiding Augmentation Debt and Workflow Pitfalls
  10. Mindset Shifts for Effective AI Management


Timestamps:

00:00 "Everyday AI: Start Here"

03:23 "AI Shift: Operator to Orchestrator"

06:35 "Unlearn to Harness AI"

11:15 "AI Surpassing Human Collaboration"

15:11 Expert-Driven AI Process Loops

18:10 "Expert Collaboration Boosts AI ROI"

23:59 "Outsmarting AI Through Expertise"

26:30 "Navigating AI Success Strategies"

31:19 "Embrace AI, Elevate Your Team"

32:18 "Embrace AI, Elevate Humanity"


Keywords:

Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.

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