Multi Agents
Building systems of interacting agents
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Nikhil Jois
AI instructor with proven results applying machine learning across video, audio, education, medicine, law and more.

Dr. Constance Quigley
Dr. Constance Quigley is an entrepreneur, AI ethics consultant, business strategist, and award-winning author dedicated to helping leaders and organizations integrate artificial intelligence with integrity. She believes technology should amplify human potential—never replace it—and works with entrepreneurs, executives, and teams to design ethical, future-ready strategies that spark innovation and build trust. Whether writing, speaking, consulting, or teaching, her mission remains consistent: to empower people to lead boldly, think critically, and shape a future where progress and principles move in harmony. Professional Background Dr. Quigley holds a Doctorate in Business Management with a specialization in Organizational Leadership, along with an MBA. She has spent years helping leaders and organizations navigate transformation across corporate strategy, ethical AI integration, leadership development, and creative brand growth. Her career includes advising executives, building strategic roadmaps, and guiding organizations through digital transformation with a focus on ethics, accessibility, and human-centered innovation. She has worked across multiple industries—including technology, education, creative arts, healthcare, and entrepreneurship—giving her a multidisciplinary perspective that informs her teaching and consulting. As an author and speaker, she shares insights on purpose-driven technology, leadership excellence, and practical strategy design. Her blend of academic rigor, hands-on consulting experience, and creative problem-solving enables her to help individuals and organizations build systems that last, lead, and inspire. Certifications & Professional Development My Story My journey has never fit into a single box. It has unfolded at the intersection of two worlds : business and caregiving, strategy and service, innovation and humanity. Long before AI ethics and executive consulting became central to my work, the realities of healthcare shaped me, supporting family members with disabilities and developing a deep understanding of what compassionate, consistent care truly demands. In many ways, caregiving was my first education in leadership. As I built my career in business, strategy, and technology, I never stepped away from healthcare; I carried it with me. I worked across both paths in tandem, designing strategic roadmaps and guiding organizations through digital transformation, while also managing complex care plans, advocating within healthcare systems, and completing advanced training through the U.S. Department of Veterans Affairs and the American Caregivers Association. These parallel experiences formed a unique foundation: analytical enough to navigate corporate structures, and human-centered enough to understand the weight of real-world impact. While academia often rewards specialization, my life required integration. My roles as consultant, strategist, educator, and caregiver each informed the rest. Supporting individuals in vulnerable moments taught me that leadership is never abstract; it is personal, relational, and deeply grounded in empathy. Working in AI and organizational strategy reinforced that systems must be built ethically and with intention, because real people live with the consequences. Today, my work bridges both worlds. I help leaders adopt ethical AI, strengthen organizational culture, and innovate responsibly, guided by the same principles I learned through caregiving: protect dignity, promote clarity, build structures that support people, and ensure that progress never comes at the cost of humanity. Every chapter of my life has led me to one conviction: When technical innovation and human compassion move together, we build a future that truly serves people.

Charles Zimmerman
Charles Zimmerman – AI Learning Instructor With over two decades in digital learning and LMS enablement, I’ve built a career around making complex systems simple, useful, and engaging. From implementing large-scale platforms like Thought Industries and Oracle Learn to mentoring administrators and creators through MyLearn.me, I’ve seen firsthand how technology can unlock potential—when people understand how to use it. As an AI instructor, my focus is on bridging the gap between curiosity and capability. Whether you’re a beginner exploring your first AI prompt or a mid-level learner building your first automation, I want to help you connect the dots between what’s possible and what’s practical. My lessons move from nano learning to macro learning—quick wins that build toward lasting understanding. You’ll find resources, discussions, and downloads that help you get started today. Together, we’ll make this whole AI “thing” more digestible, useful, and, yes—fun. I too am a lifelong learner, so I invite your feedback, updates, and questions.

Arbaz Khan
Hello, I am Arbaz Khan , a Computer Science Engineer. I have experience in IoT, Python, Data Science , and learning New Technologies. Also, I am good at C, C++, JAVA. I love to Automate things like Home Automation and other tasks using Python Programming Language. I'm also running my own startup named GetSetCode were We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.

Timothy Henize
I help small businesses and teams bridge the gap between human expertise and AI efficiency. With 18 years of leadership and project management experience as Director of Operations at Cincinnati Children’s Hospital Medical Center, I know what it takes to manage people, processes, and technology at scale. After earning my post-graduate certificate in AI & Machine Learning from Purdue University, I founded The AI Handyman LLC , where I design practical AI workflows, automation tools, and education programs that make cutting-edge tech accessible to everyone, not just seasoned developers. On Phlare, my goal is to demystify AI for real-world use: showing business owners, educators, and professionals how to use AI ethically, efficiently, and creatively to save time and grow their personal brands or businesses.

Erick Barreat
My name is Erick Alejandro Barreat Lopez. I came to the United States from Venezuela as a child, and those early years taught me something that shaped my entire life. Growth comes from showing up, staying curious, and building forward no matter the circumstance. That belief is the reason I created EB DevTech. I want people to have tools that raise them up, sharpen their thinking, and give them the freedom to focus on what matters. II’ve spent my career inside real operations; manufacturing, insurance, logistics, education, and small business; working with people who carry real responsibility and need clarity, not noise. My work is to build systems and AI tools that create time, reduce mental load, and strengthen the teams doing the work. Everything I teach is built from experience, fixing broken workflows, designing AI agents that actually perform, and helping people think clearly so they can move with purpose. If you’re here to grow, sharpen your mind, and build the future with intention, you’re in the right place. My goal is simple: ignite something in you that helps you rise, lead, and move forward with conviction.

Kay Stoner
I'm a seasoned technologist, working in information applications since 1992. Over the years, I have championed accessibilty initiatives at a leading Financial Services and since 2000 led search programs at multiple multinational corporations. I've been in the business of connecting people with the information they need to work better, live better, and be better for over 30 years, and now I'm active in the AI space. I've been working daily with generative AI since late 2023, specializing in building teams of AI personas, specially configured to collaborate with each other and people to achieve amazing results. Generative AI is a fantastic thought partner. It's not just about automation and transactions. It's also a secret weapon for ideation, creativity, and unpacking issues that keep professionals and organizations blocked by old information and outdated structures. By unlocking the power of AI through personas, self-defensive prompting techniques, and establishing your clear executive presence, you can realize the kinds of results that have eluded you for too long. Get the help you've always wanted - and needed - with AI... like you've never seen it.

Chinaza Imala, MBA
Chinaza Imala is an AI Adoption Trainer and Consultant dedicated to helping professionals and organizations embrace artificial intelligence with confidence, strategy, and impact. As the founder of nazAi Edge , Chinaza delivers adaptive training that empowers executives, analysts, healthcare professionals, educators, and creatives (just to name a few) to integrate AI tools into their workflows—boosting efficiency, reclaiming valuable time, and unlocking innovation. He is also a Creative Partner at Head AI, the World's First AI Marketer. Certified by ServiceNow as an IT Leadership Professional, his client portfolio includes professionals at leading organizations such as Oracle, Getty Images, and Eaton , where he has guided them through cautious and effective AI adoption strategies tailored to their industries. Known for blending data-driven decision-making with human-centered insight, Chinaza ensures that AI becomes a practical enabler rather than a disruptive challenge. With an MBA in Operations and Supply Chain Management and a background in Engineering , Chinaza has built a multidisciplinary career across Africa, North America, and Europe , giving him a global perspective on technology adoption and change management. Chinaza is also the Producer of Nazalytics , a podcast recognized by Professors in North America and Europe as a valuable resource for students learning about innovation & technology management and digital transformation. As a cautious AI adoption advocate , Chinaza combines technical expertise, global experience, and a passion for education to help organizations harness AI responsibly and sustainably. His media contributions and training sessions reflect his mission: to make AI adoption accessible, ethical, and transformative for all.
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Frequently asked questions
Multi-agent AI systems are setups where multiple AI agents work together, each handling specialized tasks, to achieve a shared goal more efficiently.
They communicate and coordinate, dividing tasks such as research, analysis, writing, and execution. One agent might collect data while another summarizes and another generates reports.
Examples include automated market research teams, customer support systems with tiered bots, and supply chain agents that monitor inventory, logistics, and vendor performance.
A single agent handles one workflow at a time, while multi-agent systems collaborate and parallelize work, reducing time and increasing complexity they can handle.
Finance, logistics, healthcare, e-commerce, and research-driven industries gain the most, as multi-agent setups handle large, complex, and fast-moving data.
Not entirely. They complement teams by automating routine and data-heavy work, leaving humans to focus on judgment, strategy, and creativity.
They break down tasks into smaller parts, process them simultaneously, and deliver results faster than a single system could.
Swarm intelligence is when multiple AI agents mimic collective behaviors (like ants or bees) to solve problems collaboratively and adaptively.
They use coordination protocols, voting mechanisms, or hierarchies so agents can agree on the best course of action.
Yes. Businesses can add more agents to increase capacity, making them ideal for growing workloads like customer support or financial analysis.
Frameworks like LangChain, AutoGen, and CrewAI allow developers to connect and manage multiple agents across workflows.
Risks include coordination failures, conflicting outputs, higher compute costs, and security vulnerabilities if communication isn’t safeguarded.
They reduce costs by automating parallel workflows that would normally require multiple human employees, saving time and resources.
They plug into CRMs, ERPs, and cloud platforms via APIs, enabling different agents to fetch, process, and act on real-time business data.
The future will see specialized digital “departments” of AI agents, each managing sales, finance, marketing, or operations as collaborative teams.