Podcasts
My Men RichardDecember 14, 2025 · Host: Richard Lesperance

AI agents for beginners

Amir Elion joins Richard Lesperance on My Men Richard to break down AI agents for beginners - explaining what AI agents are and how they differ from chatbots, real-world examples from content creation to scientific research, GloryHack for AI-powered advertising, building agents without coding, limitations and risks, and three buckets of business opportunity with AI.

AI AgentsGenerative AIAI ToolsAI StrategyBusiness ValueInnovation

Originally published on My Men Richard

What you'll learn in this episode

In this conversation, Amir Elion, CEO of Think Big Leaders and former AWS Innovation Programs lead in the Nordics, joins Richard Lesperance on My Men Richard to break down AI agents for beginners. Based in Stockholm, Sweden, Amir explains what AI agents are, how they differ from chatbots, and how anyone - regardless of technical background - can start using them to grow their business. These are topics Amir regularly speaks about at conferences and corporate events.

What is an AI agent - explained simply

Amir cuts through the confusion with a clear definition: an AI agent is like a digital worker you give a job description to. Unlike chatbots where you guide each step with specific prompts, you tell an agent the high-level goal and it figures out the steps. It has access to tools - web search, databases, email, social media accounts - and can make decisions, ask for your input when needed, and deliver results. Think of it as a junior employee who can do research, draft reports, and come back with suggestions. This beginner-friendly approach to explaining AI is part of Amir's keynote presentations and workshops.

Teams of agents and real-world examples

The conversation goes beyond single agents to explain how teams of AI agents work together - one researches, one drafts, one reviews and critiques the previous agent's work. Amir shares the Stanford University COVID research example where an agent team with a lead researcher, data scientist, and scientific critic produced 97% of the research output with minimal human guidance. On the business side, companies like Blitzy use agent teams to proactively scan codebases and anticipate feature requests before developers even ask.

Building AI agents without coding

A key message for the audience: you do not need to be technical to build AI agents. Amir describes a masterclass for 80 business people where a construction professional built a property assessment tool in one hour using Base44 - just by describing the business process in plain language. Another attendee launched two customer-facing tools months later. Tools like Lovable, Bolt, and v0 are making this increasingly accessible.

Three buckets of business opportunity

Amir simplifies AI business value into three buckets: productivity enhancement (doing things faster and at scale), product and service expansion (reaching new geographies and audiences through AI capabilities), and disruption (rethinking entire value chains and business models). For forward-thinking entrepreneurs, the disruption bucket is where the biggest opportunities lie - using AI agents to move up and down value chains and reduce dependency on other actors.

Book Amir as a speaker

Amir regularly delivers keynotes and workshops on the topics covered in this episode - AI agents for business, practical AI adoption for non-technical leaders, building AI products without coding, and AI strategy for business growth. He speaks at conferences, corporate leadership offsites, and industry events across Sweden, the Nordics, and Europe. Learn more about Amir's speaking topics and availability.

Key Topics Discussed

What is an AI agent

A clear explanation for beginners - AI agents are not chatbots. They are like digital workers you give a job description to. You define the high-level goal, and the agent figures out the steps, uses tools like web search and databases, and can even ask for your confirmation along the way - similar to a junior employee working on a task.

AI agents vs chatbots

The key difference explained simply - with a chatbot like ChatGPT, you guide it through each step. With an AI agent, you define the goal and it figures out how to achieve it. Agents have agency - they can make decisions, access tools, and change things in the digital world on your behalf.

Teams of AI agents

How multiple agents can work together like a team - one does research, one drafts content, one reviews and critiques. The Stanford University COVID research example where agent teams ran parallel research meetings, with one agent as lead researcher, another as data scientist, another as scientific critic, producing 97% of the output.

GloryHack - AI-powered creative advertising

A walkthrough of GloryHack (gloryhack.com), Amir's AI-powered tool that guides businesses through creating attention-grabbing campaigns. An AI account manager interviews you about your business, suggests concepts based on award-winning advertising templates, generates marketing copy for your chosen channels, and creates visual assets.

Building AI agents without technical skills

How non-technical people are building AI-powered applications using tools like Base44, Lovable, and Bolt. At an 80-person masterclass, a construction professional built an image-based property assessment tool in one hour by simply talking to the AI. Another attendee launched two customer-facing tools months later.

Limitations and risks of AI agents

Key risks explained for beginners - hallucinations where agents confidently provide wrong information, security and privacy concerns when giving agents access to sensitive data, and unresolved questions about copyright and IP ownership when AI creates content or code on your behalf.

Three buckets of AI business opportunity

A simple framework for understanding AI business value - productivity enhancement (doing things faster and at scale), product and service expansion (reaching new geographies and audiences through AI capabilities), and disruption (rethinking value chains and business models by using AI to move up and down the chain).

The future of AI agents

In one to two years, AI agents will become standard on smartphones and laptops. We will see AI agents in legal, HR, and every business function. Longer term, entirely new organizational structures will emerge with hybrid teams of humans and AI agents working together as a fundamental part of business operations.

Frequently Asked Questions

What is an AI agent?
An AI agent is like a digital worker you give a job description to. Unlike chatbots where you guide each step, you define the high-level goal and the agent figures out the steps to achieve it. Agents have access to tools like web search, databases, and other systems, and can make decisions, ask for your confirmation, and complete complex tasks - similar to a junior employee working on an assignment.
How are AI agents different from chatbots like ChatGPT?
With a chatbot, you provide specific prompts and guide it through each step. With an AI agent, you define the goal at a high level and it autonomously determines the steps, uses available tools, and delivers results. Agents have agency - they can make decisions, access external systems, and even work in teams with other agents. Chatbots are reactive; agents are proactive.
What can AI agent teams do?
Multiple AI agents can work together like a human team - one researches, one drafts, one reviews and critiques. In a Stanford University study, an AI agent team researched COVID virus treatments with a lead researcher agent, data scientist agent, and scientific critic agent. The human team wrote only 3% of the output while the agents produced 97%, running five parallel research meetings simultaneously.
Can non-technical people build AI agents?
Yes, and it is getting easier. Tools like Base44, Lovable, Bolt, and v0 allow non-technical people to build AI-powered applications by describing what they want in plain language. At a masterclass for 80 business people, a construction professional built a property assessment tool in one hour just by talking to the AI tool. No coding required.
What are the risks of using AI agents?
Three main risks - hallucinations where agents confidently provide incorrect information because models are trained to always give an answer, security and privacy concerns when giving agents access to sensitive data and systems, and unresolved legal questions about copyright and IP ownership when AI creates content or code on your behalf.
What is GloryHack?
GloryHack (gloryhack.com) is an AI-powered creative advertising tool that guides businesses through creating attention-grabbing campaigns. An AI account manager interviews you about your business, suggests campaign concepts based on award-winning advertising templates backed by scientific research, generates marketing copy for your chosen channels, and creates visual assets - all in minutes.
What are the three business opportunities with AI agents?
Three buckets - productivity enhancement (doing things faster, at scale, and at better quality), product and service expansion (using AI to reach new geographies, audiences, and overcome language and time zone barriers), and disruption (rethinking value chains and business models by using AI agents to move into areas currently handled by other companies or service providers).
What topics does Amir Elion speak about?
Amir Elion delivers keynotes and workshops on AI agents for business, practical AI adoption for non-technical leaders, building AI-powered products with vibe coding, Amazon's innovation principles, and AI strategy for business growth. His talks make complex AI concepts accessible to audiences at every technical level.
Can I book Amir Elion as a speaker for my event?
Yes. Amir speaks at corporate events, conferences, and leadership offsites across Europe and internationally. His speaking topics include AI agents explained for business leaders, building AI products without coding, and AI-powered innovation and business growth. Visit amirelion.com to learn more and book a session.

About Amir Elion

Amir Elion is an AI strategist, innovation consultant, and keynote speaker based in Stockholm, Sweden. As CEO of Think Big Leaders, he helps Nordic and European enterprises develop practical AI strategies, run innovation workshops, and build AI-powered products. Previously, Amir led the AWS Innovation Programs in the Nordics, bringing Amazon's Working Backwards methodology to companies like Volvo and KONE. He combines 25+ years of innovation experience with hands-on generative AI expertise.