Agentic.Workflow

// AI AUTOMATION SYSTEM

Agentic Workflows

Build AI Automations

Build your first agentic workflow from absolutely zero. My job is to make this as easy to understand as possible for you.

Make life easier Make money building for businesses Everything you need to know
First Agentic Workflow β€” VS Code
Claude Code .env Bypass permissions context 38%
You: Research company X's pricing and then create a PDF report for me.
Claude: Reading CLAUDE.md β†’ loading WAT architecture…
Bash: pip install -r requirements.txt
Tool: firecrawl.scrape(url="competitor.com/pricing")
Tool: perplexity.research(query="positioning + differentiators")
Done: competitor_report_20250115.pdf generated βœ“

// 01

What Agentic Workflows Actually Are?

An AI System that figures out How to do it? from What you want?

Deterministic

Predictable. Same input β†’ same output. Traditional automation lives here.

Non-deterministic

Variability + Judgment. Where AI thrives.

You

AI Automation Builders β€” translate non-deterministic problems into deterministic outcomes.

Agentic AI

  • Plans goals
  • Adapts to change
  • Uses multiple tools
  • Self-corrects

Judgment Calls at Every Step

Reasons Adapts Asks questions Decisions Fixes itself Research β†’ You

// 02

Agentic Workflows in the Wild

πŸ”

Research

✍️

Content

πŸ’¬

Customer Support

🎯

Lead Gen

// 03

Fix a lot of the common struggles with traditional automation

Traditional Automation

Energy β–“β–“β–‘β–‘β–‘β–‘β–‘β–‘

Mission 101: Search safe route manually

  • βœ• Manual Error Fix
  • βœ• Manual API Setup
  • βœ• Manual MCP Setup
  • βœ• Stuck on Logic
  • βœ• Setup β†’ Forgotten!!!
  • βœ• Manual Adjustments

Agentic Workflow

Energy β–“β–“β–“β–“β–“β–“β–“β–“

Mission 101: Google the direction

  • βœ“ Handle error
  • βœ“ Research
  • βœ“ Figure it out
  • βœ“ Adapt for you
  • βœ“ Improvements baked in
  • βœ“ Self-corrects

// 04 β€” What's actually happening under the hood?

What to know to build an agentic workflow?

WAT

W

Workflows

Instructions. The Job Description / SOP written in a Markdown file using Headers, Sub Headers, Bold and Important markers.

# Headers
## Sub Headers
**Bold**
* Important
A

Agent

The Coordinator. Reads the workflow, looks at available tools, decides the sequence. You don't have to figure out the sequencing or the logic β€” Claude Code does it.

T

Tools

Workers / Actions β€” Scraping a website, Generating a PDF. Automatically Built, Automatically Updated and Fixed.

The agent then uses these guidelines to figure out how to achieve that end goal.

// 05

How do these 3 layers work together?

PROMPT

"Research company X's pricing and then create a PDF report for me."

1Reads the workflow
β†’
2The instructions
β†’
3Looks at available tools
β†’
4Decides the sequence
Web search tool
Scrape website
Analyze finding
Generate PDF

// 06

From Zero to Your First Agentic AI Workflow in 26 Minutes

Full Guide β€” Setup walkthrough

  1. 01

    Install Visual Studio Code

    The open source AI code editor.

  2. 02

    Install Claude Code for VS Code extension

    From the extensions marketplace.

  3. 03

    Sign in with a paid Claude subscription

    Pro or Max plan required.

  4. 04

    Create a new, empty project folder

    Open it inside VS Code.

  5. 05

    Drag and drop the CLAUDE.md file

    Into your project folder.

  6. 06

    Initialize structure

    tmp, tools, workflows folders,.gitignore,.env.example, requirements.txt, README.md.

  7. 07

    Provide business info via questionnaire

    Company, value prop, pricing, target market, differentiators.

  8. 08

    Upload brand assets

    logo.png, brand guidelines.png.

  9. 09

    Retrieve API keys

    Anthropic + FireCrawl (optional: Perplexity AI).

  10. 10

    Update the.env file

    Paste your real API keys.

  11. 11

    Install dependencies

    pip install -r requirements.txt

  12. 12

    Run the competitive analysis workflow

    Review and approve the generated plan.

  13. 13

    Allow self-correction

    Unicode encoding, PDF generation β€” Claude fixes itself.

  14. 14

    Review final branded PDF

    With charts, executive summary, and competitor profiles.

// 07

Inside the System

AI-powered competitive discovery

Intelligent web research

With multiple fallback strategies.

Comprehensive analysis

Positioning, pricing, marketing, strengths/weaknesses.

Branded PDF reports

Custom logo, colors, and typography.

Monthly change tracking

Cost-optimized smart caching

Automated error handling

Self-correction baked in.

Dynamic adaptation

To new information and changes.

Modular workflow + tool architecture

Automated dependency install

API key management

Git repository initialization

// 08 β€” TECH STACK

Built With

Claude Code Python FireCrawl API Perplexity AI ReportLab Matplotlib

// 09

Free Skool Community

Templates Β· Workflows Β· Files β€” All completely free