My Automation Playbook

The principles, frameworks, and engineering mindset I use to design AI agents, automate workflows, and build reliable systems — from solo tools to scalable micro-SaaS architectures.

📘 Download PDF Version🧠 See Real Automations I Built

The Big Idea

Automation isn’t about writing scripts. It’s about thinking in systems.

Most developers jump straight into code, but great automation begins before the first line of code is written — with:

  • Auditing
  • Eliminating
  • Simplifying
  • Designing
  • Then finally… automating

This playbook captures the exact principles I use to build:

Autonomous agents

Workflow engines

Micro-SaaS tools

Internal developer automations

Japanese learning automations

Email + productivity systems

These are the same frameworks I use in CodeItronics, DevHubTools, and my own life.

The Blueprint

Identify Inefficiency
↓
Remove Manual Waste
↓
Define System Boundaries
↓
Build Agents / Workflows
↓
Add Reliability Layer
↓
Scale via Micro-Services

Core Frameworks

1. Identify & Eliminate

⚠️ Before writing a single line of code, I audit workflows.
✅ If a task is repetitive, rules-based, or takes more than 15 minutes a week, it becomes a candidate for automation.
  • Eliminate unnecessary work
  • Simplify what remains
  • Automate only the essential logic

2. The Agentic Stack

⚠️ Agents without structure are just fancy scripts.
✅ My go-to stack: Python (logic), LangChain (orchestration), OpenAI (intelligence), Docker (portability).
  • Memory
  • Tools
  • Evaluation loop
  • Fallback mechanism

3. Building for Reliability

⚠️ An unreliable agent is worse than no agent.
✅ I design retry loops, error-handling guards, and safe failure modes.
  • Retry loops & Circuit breakers
  • Safe failure modes
  • Human-in-the-loop checkpoints
  • Benchmark: <1% failure rate

4. Scaling with Micro-Services

⚠️ Monolith automations break easily.
✅ I design systems as independent micro-services so I can patch one piece without breaking the rest.
  • Scraping agent
  • Classifier
  • Sender & Formatter
  • Independent deployment

Real Examples I Built

📨

Inbox Reply Agent

Reads emails → understands context → drafts reply → saves 3+ hours/week.

🧹

Daily Digital Cleanup Bot

Summarizes Slack, clears noise, generates a daily brief.

📊

Micro-SaaS Billing Reminder

Automates monthly account reminders, Slack alerts, and customer follow-ups.

🇯🇵

Japanese Learning System

Automatically generates stories, grammar carousels, and vocabulary drills.

My Automation Stack

Languages & FrameworksPython • Node.js • LangChain • LlamaIndex
AI ModelsOpenAI • Claude • Gemini • Llama
InfrastructureDocker • Supabase • Redis • Vercel
Developer ToolsGitHub Actions • Make.com • Postman • Raycast

Want to Build Agents Like This?

Whether you're building internal tools, creator workflows, or a micro-SaaS — these frameworks will help you ship faster with fewer failures.

Start Building Your Own Agents

The Automation Playbook – PDF (Free Download)

  • All 4 frameworks
  • System diagrams
  • Checklists
  • Recommended agent stack
Download PDF