Agentic AI Is a Workflow, Not a Smarter Prompt
From reflection and tool use to evals, planning, and multi-agent systems — the concepts that changed how I think about building AI applications.
Articles
I write about things I'm learning and building — from AI and LLM engineering to developer tools and software engineering. Full essays live on Medium. New posts appear here automatically from that feed.
I Built an AI Job Application Assistant
Parse a job and a CV, explain the match, draft materials, then stop for a human. The AI never applies.
I Built an AI Document Processing Pipeline
How I combined webhooks, Temporal workflows, AI summarization, async notifications, and email into one small system.
What I Learned About Async AI Workflows, Webhooks, and Orchestration
Jobs, events, durable workflows, and background tasks — the concepts I needed before building an AI document pipeline.
Putting It All Together: The LEPA Support Agent
What Project 2 became — end to end — and what I would change next.
Keeping a Human in the Loop
What HITL actually means — and why asking “which LEPA area?” is not the same thing.
Breaking LEPA Support Agent Into Multiple Agents
Intake, knowledge, and support — why split the work, and how LangGraph keeps the specialists in order.
Giving LEPA Support Agent Memory
Checkpoints, thread IDs, and how a LangGraph support agent remembers a conversation across turns.
Giving LEPA Support Agent Tools
Why agents need tools, how search_knowledge works over Markdown docs, and how the knowledge node uses them.
Building LEPA Support Agent with LangGraph
Project setup, state, nodes, edges, and how a support request actually moves from START to END.
What I Learned Before Building My First LangGraph Agent
How I finally made sense of orchestration, state, memory, and multi-agent workflows — and why I decided to build a LEPA support agent next.
I Built an AI Agent Harness That Uses Remote MCP Tools
How I connected an AI SDK agent to my deployed MCP server and finally understood what the harness around an agent actually does.
I Took DevAssist Remote: Streamable HTTP, Render, and Connecting MCP Clients
Part 2 — How I moved DevAssist from a local stdio MCP server to a deployed Streamable HTTP endpoint, then wired Cursor and the AI SDK to it.
I Built My First MCP Server for Cursor (And Finally Understood MCP)
How I learned Model Context Protocol by building something useful instead of another weather API demo.
I Built a Local AI Terminal Agent With Tool Calling (And You Can Too)
How I built TAM — a CLI assistant that lists files, searches code, runs shell commands, and talks to free models on OpenRouter.
How to Solve a Stack Data Structure Using a Linked List
A walkthrough of implementing a stack with a linked list — a core data structure and a useful exercise in pointers, classes, and operations.