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AI Agents

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Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots

  • Agentic AI, Agentic AI Myths, AI Agents, AI Automation, AI Orchestration, AI Strategy, Artificial Intelligence, Conversational AI, Enterprise AI, LLM, Multi-Agent AI Systems

Forget chatbots — Agentic AI is redefining how work gets done. Discover the myths holding businesses back and what it really takes to build AI with true agency.

Article by Josh Tyson
IDEAS IN BRIEF
Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
  • The article reframes Agentic AI not as a tool, but as a strategic approach to automating high-value tasks through orchestration and dynamic objectives.
  • It argues that success with Agentic AI lies in starting small, experimenting quickly, and integrating agents around outcomes — not traditional workflows.
  • The piece emphasizes the need for open, flexible platforms that enable multi-agent collaboration, rapid iteration, and seamless integration with legacy systems.
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8 min read

What to Know About Model Context Protocol (MCP)

  • Agent Orchestration, AI Agents, AI Infrastructure, Conversational AI, Emerging Technology, Enterprise AI, Model Context Protocol (MCP)

AI agents are getting smarter — but can they truly work together? Meet MCP, the open-source protocol quietly reshaping how machines connect, collaborate, and get things done.

Article by Josh Tyson
IDEAS IN BRIEF
What to Know About Model Context Protocol (MCP)
  • The article introduces MCP — a new way to help AI agents easily work with business tools.
  • It shows how MCP could change how we use software by letting AI control all our tools through one interface.
  • The article sees MCP as a big step toward building smarter, more flexible AI systems in the future.
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5 min read

Orchestrating LLMs, AI Agents, and Other Generative Tools

  • AGI, AI Agents, AI Ecosystem, AI Integration, AI Orchestration, Artificial Intelligence, Conversational AI, Digital Twins, LLM

Unlock the future of AI with open, modular systems that power hyperautomation. Discover how orchestrating LLMs and AI agents leads to smarter, scalable innovation.

Article by Robb Wilson, Josh Tyson
IDEAS IN BRIEF
Orchestrating LLMs, AI Agents, and Other Generative Tools
  • The article explores how conversation connects LLMs, AI agents, and generative tools in business automation.
  • It stresses the need for open, modular systems over relying on single vendors for scalability and innovation.
  • The article highlights the drawbacks of isolated LLMs and emphasizes interconnected systems for effective AI-driven workflows.
  • It encourages embracing the complexity of AI ecosystems to enable flexibility, iteration, and hyperautomation.
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5 min read

You Can Automate a 787 — You Can Automate a Company

  • AI Agents, Artificial Intelligence, Conversational AI, Digital Transformation, Human-Centered Design, LLM, Organizational AI, User Experience, Voice Interfaces

If we can automate a 787, why not an entire company? Discover how conversational AI and intelligent ecosystems are reshaping the future of work.

Article by Robb Wilson
IDEAS IN BRIEF
You Can Automate a 787 — You Can Automate a Company
  • The article explores how automating a plane cockpit led to deeper insights about business automation.
  • It shows how conversational AI and agent-based systems can reduce cognitive load and improve decision-making.
  • It argues that organizations need intelligent ecosystems — not just tools like ChatGPT — to thrive in the age of automation.
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8 min read

Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents

  • Agentic UX, AI Agents, AI in UX, Artificial Intelligence, Future of Design, Human-AI Interaction, Interaction Design, UX Design

Designing for AI? Know what your agent can actually do. This guide breaks down the four core capabilities every UX designer must understand to build smarter, safer, and more user-centered AI experiences.

Article by Greg Nudelman
IDEAS IN BRIEF
Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
  • The article examines how UX designers can effectively work with AI agents by understanding the four key capability types that shape agent behavior and user interaction.
  • It emphasizes the importance of evaluating an AI agent’s perception, reasoning, action, and learning abilities early in the design process to create experiences that are realistic, ethical, and user-centered.
  • The piece provides practical frameworks and examples — from smart home devices to healthcare bots — to help designers ask the right questions, collaborate cross-functionally, and scope AI use responsibly.
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10 min read

Demystifying Designing an Agent

  • AI Agents, Generative AI, Human-AI Interaction, Human-Computer Interaction, UX Design

Discover how UX designers can go beyond interfaces with agent-centered design. Learn to define agent roles, foster collaboration, and build trust for smarter, more adaptable AI systems.

Article by Ishaani M
IDEAS IN BRIEF
Demystifying Designing an Agent
  • The article introduces a framework for designing AI agents with agent-centered design, focusing on agent roles, communication, and user engagement.
  • It highlights setting clear human-AI collaboration and building trust through transparency.
  • The piece urges UX designers to think beyond interfaces to create adaptable, intelligent systems.
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7 min read
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