Build Your First AI Agent in 60 Minutes
A step-by-step build of a simple working AI agent, from setup to its first completed task.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
1:1 or squad batch · join the community or channel
Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1What makes something an agent: a goal, tools and a loop of deciding and acting
- 2Setting up the project, API access and a minimal agent loop
- 3Giving the agent one or two simple tools to call
- 4Running the agent on its first task and reading its steps
- 5Adding limits: maximum steps, allowed actions and stopping conditions
- 6Debugging when the agent gets stuck or picks the wrong tool
Who it's for
- • Developers new to AI agents
- • Learners comfortable with basic programming
You'd leave with
- An understanding of the core agent loop
- A minimal agent structure you can extend
- Basic safety limits for any agent
More topics in Agentic AI
Agentic AI Explained: From Chatbots to Autonomous Agents
The practical difference between a chatbot and an autonomous agent, explained through real examples.
0 votes · View topic →
How AI Agents Actually Work
What's actually happening under the hood when an AI agent plans, acts, and responds — no black-box explanations.
0 votes · View topic →
Build a Multi-Agent System
Designing a system where multiple AI agents coordinate on a shared task, and where that coordination tends to break.
0 votes · View topic →
AI Agents for Developers
How developers can start building and testing their own AI agents inside a real codebase.
0 votes · View topic →
AI Agents for Business Operations
Where AI agents can realistically support recurring business operations tasks, and where human oversight stays essential.
0 votes · View topic →
Agent Memory, Tools and Reasoning Explained
How agent memory, tool-calling, and reasoning steps fit together, explained with a working example.
0 votes · View topic →