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AI Agents

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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
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.
Share:Orchestrating LLMs, AI Agents, and Other Generative Tools
5 min read

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
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.
Share:You Can Automate a 787 — You Can Automate a Company
8 min read

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
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.
Share:Secrets of Agentic UX: Emerging Design Patterns for Human Interaction with AI Agents
10 min read

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
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.
Share:Demystifying Designing an Agent
7 min read

AI is breaking barriers, clearing up confusion, and making human connections smoother than ever. Discover how AI is transforming communication — one clearer, more efficient conversation at a time.

Article by Rich Weborg
Better Human-to-Human Communication with AI Agents
  • This article explores how AI enhances human-to-human communication by clarifying intent, summarizing information, and breaking down language and expertise barriers.
  • It discusses AI’s ability to interpret emotions and tone, providing real-time insights that foster empathy and improve the quality of interactions.
  • The piece highlights how AI agents can strengthen relationships, build trust, and serve as adaptive tools to enrich communication and human connection.
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6 min read

Discover how GPT Researcher is transforming the research landscape by using multiple AI agents to deliver deeper, unbiased insights. With Tavily, this approach aims to redefine how we search for and interpret information.

Article by Assaf Elovic
You Are Doing Research Wrong
  • The article introduces GPT Researcher, an AI tool that uses multiple specialized agents to enhance research depth and accuracy beyond traditional search engines.
  • It explores how GPT Researcher’s agentic approach reduces bias by simulating a collaborative research process, focusing on factual, well-rounded responses.
  • The piece presents Tavily, a search engine aligned with GPT Researcher’s framework, aimed at delivering transparent and objective search results.
Share:You Are Doing Research Wrong
6 min read

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