Zero to Agent in 30 Minutes

Model Context Protocol (MCP) gives developers a standard way to connect the APIs and services they already maintain to AI clients. In this episode of Zero to Agent in 30 Minutes, AI developer and author Bruce Hopkins shows how to put that into practice.

Using a stock-data API, Bruce builds an MCP server and shows how to expose existing functionality so an AI client can discover and use it. The result is a practical way to reuse application logic you already have instead of rebuilding the same capabilities for each AI integration.

In this episode of Zero to Agent in 30 Minutes, AI engineer Sajal Sharma shows how to give an AI agent its own computer using a remote sandbox. With E2B, he demonstrates how an agent can install packages, run code, work with files, and control a browser without running those tasks on your own computer.

You’ll see two ways an agent can work with a remote computer. One uses shell commands and files, while the other operates a remote desktop through screenshots and mouse and keyboard actions. Sharma also explains how to connect the agent’s actions to the remote desktop, move files between local and remote environments, and keep agent credentials separate from your own when external services require authentication.

Chester Ismay, a data science educator and AI consultant, builds a sports concierge agent that reads schedules for the teams he follows, applies his personal preferences, and sends one weekly recommendation to his phone.

In this episode of Zero to Agent in 30 Minutes, Ismay shows how the agent works, from the preferences and policy files to scheduling and notification delivery. He also explains how he checks the results, handles timezone issues, and updates the policy when the output needs improvement. Follow the full walkthrough to see how the same pattern can be adapted to other recurring personal workflows.

Every agent you run forgets what the others already know. In this episode of Zero to Agent in 30 Minutes, AI engineer Sajal Sharma keeps all of them working from the same personal knowledge base instead of starting over each session, giving tools like Claude Code, Codex, OpenClaw, and Hermes a shared set of files to read from and write to. You’ll learn how to map a workspace so any agent can navigate it, roll daily notes into weekly and monthly summaries, keep Claude Code reading from the same files as the rest, and sync that workspace across your own machines. See how it all comes together by watching the full episode.

Your code probably has version control, audits, and a CI gate. Your customized AI agents should too. In this episode of Zero to Agent in 30 Minutes, Microsoft senior solution engineer Maxim Salnikov shows how to keep track of every skill, instruction, and customization you feed your AI agents using the open source Agent Package Manager. APM works like npm for agent context, letting you build an agent supply chain that’s secure and governed by your organization’s policies. You'll learn how to install and pin customizations to a version or hash, reproduce the exact same setup on a new machine, build a private registry of vetted skills, and audit for drift before enforcing it all with a CI gate. Watch now.

Max Johnson, founder of AI agency Briix and an AI content creator, shows how to automate the work behind daily content creation with Claude Code. He builds a workflow that researches trending topics, scores them for relevance, generates hooks, and drafts scripts using context about his audience, brand, and writing style.

In this episode of Zero to Agent in 30 Minutes, Johnson connects those stages into a single workflow and adds a local dashboard for reviewing results and starting new runs. He then extends the first version so all five researched topics get three hook and script options, producing 15 scripts per run. His advice for trying a similar build is straightforward: start with one repetitive task, get it working, and then extend it based on how you actually use it.

In this session of Zero to Agent in 30 Minutes, Jayeeta Putatunda, forward-deployed AI engineering lead at Turing, builds a four-agent workflow that turns a daily flood of financial news into a focused analyst briefing, helping analysts find what actually deserves their attention without manually sifting through every headline. A coverage planner breaks the research question into sections, a news researcher agent searches multiple sources in parallel, and a validation agent checks each link's date and status, removes duplicate stories, and filters out paywalled content. A briefing writer agent then assembles the results into an executive summary, key takeaways, and a section-by-section breakdown of what each development means.

Watch as Jayeeta runs the full workflow live using open source models, so viewers can reproduce it without an API key, then walks through the resulting briefing, covering major index moves and the Federal Reserve's Jackson Hole meeting. She also shows a feedback agent that saves formatting and terminology preferences to memory, so later briefings apply them automatically.

Voice mode can make spoken conversation a practical way to direct work across browsers, desktop applications, and development tools. In this episode of Zero to Agent in 30 Minutes, Craig Hewitt, founder of Castos, demonstrated how he uses the Codex app to navigate websites, inspect a code repository in Cursor, and commit changes without relying on typed instructions.
Craig also showed how voice mode differs from dictation by combining conversational responses with the ability to take action. He explained the security risks that come with browser and computer access and how he manages them with approval settings, limited access to selected tools and sites, and human review.

Coding agents can take on longer-running tasks when developers give them clear goals they can verify. In this episode of Zero to Agent in 30 Minutes, Ofer Mendelevitch, head of developer relations at BAND, demonstrates that progression with a Python package version resolver, comparing step-by-step prompting, loop engineering, and multi-agent collaboration.
Ofer shows how an agent can inspect code, write and run tests, fix issues, and verify packaging without waiting for a new prompt at every step. He then adds a reviewer agent to examine the implementation, provide feedback, and run adversarial checks, and discusses how specialized agents could handle areas such as security, compliance, and testing. The episode also looks at where human judgment remains part of the workflow, particularly when a task involves product decisions.

On the latest episode of Zero to Agent in 30 Minutes, software engineer Vicki Reyzelman builds a YouTube analytics agent and shows how clear requirements, reliable data, and well-defined guardrails turn channel metrics into useful recommendations. She demonstrates how to export analytics, write a skills file, compare performance over time, and guide the agent toward goals such as subscriber growth and higher click-through rates.
Vicki also covers model selection, token costs, observability, testing, permissions, and the security tradeoffs between uploaded files and direct API access. Follow Zero to Agent in 30 Minutes for more agent builds.