Latest writings
Notes on AI agents, Salesforce, automation, micro-SaaS, and engineering.
OpenAIChatGPT for Developers: A Practical Guide to Building Better Workflows
How developers can use ChatGPT and the OpenAI API in daily work: prompt patterns that hold up, the Responses API in Python, structured outputs, a repeatable pipeline, and where not to use it.
Why Use Gemini for AI Automation: A Builder's Comparison
When Gemini is the right model for automation workflows and agents: current models, verified pricing, native multimodal input, long context, tool calling, and where other models fit better.
AI in Content Marketing: How I Build a Content Pipeline with n8n
A builder's guide to AI content automation with n8n: a sheet as the queue, one LLM call with a strict JSON contract, a Code node parser, and drafts in Google Docs.
AI Agents in Enterprise Automation: A Founder's Field Guide
Stop building brittle RPA bots. Here's how to design AI agents that actually survive contact with enterprise systems—without burning your roadmap or budget.
Unmasking the Black Box: Mastering LangChain Callbacks for Debugging
Master LangChain callbacks to debug AI agents. Learn to build custom handlers, trace execution flows, and fix 'black box' LLM issues.
Structured JSON Output from LLMs: Schema Injection, Pydantic and Retry Loops
Why LLM output breaks JSON parsers, and three patterns that fix it in AI agents: schema injection with TypeScript types, Pydantic validation and a self-healing retry loop.
Building an AI Inbox Triage Agent with n8n and OpenAI
Stop using your inbox as a to-do list. Learn how to build an automated workflow in n8n that reads emails, classifies them using LLMs, summarizes context, and pushes actionable tasks to your project management tool.
Systematizing Creativity: Building an Automated Content Repurposing Pipeline
Stop writing the same post three times. Here is a technical breakdown of how to build a content operations pipeline that transforms raw Notion inputs into platform-specific JSON payloads using AI agents.
Engineering a Personal Prompt System: Library, Versioning, and Automated Tests
Stop guessing with your prompts. Learn how to build a centralized prompt library, version control your system instructions, and write a simple Python test harness to evaluate output quality scientifically.
Building an Automated AI Daily Brief: My Morning Workflow
Stop checking five different apps to start your day. Here’s how I built a Python-based system that fetches tasks, prioritizes them with GPT-4, and emails me a strategic briefing every morning at 7 AM. We cover API integration, prompt engineering for planning, and robust scheduling.
The Infinite Content Engine: How to Turn 1 Technical Blog Post into 10 Assets
Stop letting your technical writing die in the archives. Here is the engineering approach to content ops: a systematic repurposing map to turn one article into a month's worth of content across X, LinkedIn, and YouTube.
The Pragmatic Automation Stack: When to Pay vs. When to Self-Host
Subscription fatigue is real, but so is maintenance hell. Here is my decision framework for building an AI automation stack, comparing n8n vs. Zapier, Supabase vs. Airtable, and the exact tools I use to run my systems.
Create Your First AI Planning Agent in 10 Minutes (n8n Tutorial)
Build a functional AI planning agent that breaks down complex goals into actionable steps using n8n. This step-by-step tutorial includes exact prompts, workflow configuration, and a ready-to-use template.
How I Passed JLPT N5 Alongside Client Work (and Now Study for N4)
The study system I used to pass JLPT N5 while doing freelance Salesforce and automation work: textbooks, Anki, short daily sessions, and a little automation.
n8n Automation Guide: Build a Telegram Translation Workflow with OpenAI
A practical introduction to n8n: the core concepts, a step-by-step Telegram translation workflow with OpenAI, the gotchas to watch for, and how n8n compares to Zapier and Make.
10 Micro-SaaS Ideas Using AI Automation
Practical micro-SaaS business ideas you can build in a weekend using AI APIs, n8n, and modern frameworks. Each idea includes a revenue model.