How I’d Teach a 10 Year Old to Build Agentic Workflows (Claude Code)

Item: How I’d Teach a 10 Year Old to Build Agentic Workflows (Claude Code)
Rating: 4
Author: PostSingularity Institute

by Nate Herk

Applied Sciences & Engineering AI — News & Applications UYComputer science UYQArtificial intelligence (AI)

🎙 Nate Herk 👥 964K 📅 February 7, 2026 ⏱ 28 min 👁 161K 📄 tutorial 🧭 2026-08-28

Available in: English (current) Français

Keywords

agentic workflowsClaude CodeWAT frameworkMCPFirecrawl

Summary

The video aims to demystify agentic workflows and teach viewers, even beginners, how to build them using Claude Code. The creator starts by contrasting traditional step-by-step automation with agentic workflows, using a restaurant analogy to illustrate the difference. He then introduces the WAT framework (Workflows, Agents, Tools) and explains how to set up Claude Code in VS Code, including installing the extension and configuring the environment. The tutorial covers practical steps: creating a project, adding a CLAUDE.md file, setting up the Firecrawl MCP server for web scraping, and using plan mode to define a workflow. The creator demonstrates building a workflow to scrape remote job listings and export them to an Excel file, showing how the agent autonomously creates tools and workflows. He also discusses common mistakes and the advantages of agentic workflows, such as self-improvement and efficiency. The video is practical and hands-on, with a clear step-by-step approach, but it also promotes the creator’s courses and tools.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable, actionable information for beginners interested in building agentic workflows. The creator’s step-by-step demonstration is clear and easy to follow, and the WAT framework offers a simple mental model. The argumentation is persuasive, using analogies and real examples to explain complex concepts. However, the video is largely a tutorial and does not delve into the theoretical underpinnings or potential limitations of agentic workflows. The creator’s enthusiasm is evident, but the argumentation could be more balanced by acknowledging potential challenges or drawbacks.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial, so it does not cite academic sources. The creator references tools like Claude Code, Firecrawl, and MCP, and provides links in the description for further resources. The title accurately reflects the content, and the video is well-structured with clear timestamps. The creator’s approach is practical, but the lack of external references or citations reduces the scientific rigor. The video is more of a practical guide than a scientific analysis.

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Title / Content Match

The title accurately reflects the content: the creator explains agentic workflows in simple terms and demonstrates how to build one using Claude Code, targeting beginners.

Quality & Reliability

7/10

The video provides a clear, practical tutorial on building agentic workflows using Claude Code, with a structured framework (WAT) and real examples. The creator demonstrates the process live, which adds credibility. However, the content is largely promotional for the creator's courses and tools, and the scientific rigor is limited as it is a practical demonstration rather than a peer-reviewed study.

Chapters

Cited Sources

Firecrawl — Tool used for web scraping and data extraction, integrated via MCP.
AI OS Course (Free) — Free course offered by the creator, mentioned as a resource for further learning.
Full Courses + Unlimited Support — Paid courses and support, mentioned as additional resources.
Podcast Application — Application for the creator's podcast, mentioned in the description.
Work with me — Creator's agency website, mentioned for business inquiries.
Glaido (Voice to Text) — Tool for voice-to-text, mentioned as a resource.
Hostinger VPS — VPS hosting for Claude Code, mentioned as a tool.
LinkedIn — Creator's LinkedIn profile.

Concurring Sources

Anthropic's Claude Code documentation — Official documentation for Claude Code, which the video uses as the primary tool.
Model Context Protocol (MCP) official site — MCP is the standard for integrating tools with AI, as demonstrated in the video.

Contribution & Novelties

The video offers a practical, beginner-friendly introduction to building agentic workflows using Claude Code, with a clear framework (WAT) that simplifies the process. It demonstrates a real-world example (scraping job listings) and shows how to integrate external tools via MCP. The novelty lies in the accessible teaching approach and the emphasis on using natural language to define workflows, making the concept approachable for non-coders.

Pour aller plus loin :

Model Context Protocol (MCP) — Official documentation for MCP, the standard for connecting AI to tools.
Claude Code documentation — Official guide for using Claude Code.
Agentic AI: A Survey — A survey paper on agentic AI (note: URL is illustrative, not verified).

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Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the video's practical depth and clear explanations. The technical level is moderate, suitable for beginners, and the overall reliability is good, though not academic. The video excels as a tutorial but lacks scientific rigor.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, les spectateurs expriment une grande gratitude et enthousiasme, saluant la clarté des explications et l'utilité pratique du contenu, certains mentionnant avoir réussi à suivre le tutoriel.