What are AI agents and agentic systems, anyway?
A plain-English explanation of AI agents, agentic systems, and what makes them different from chatbots—plus the production lessons people skip.
I write about building and shipping AI applications from three main perspectives, also referred to as Tracks: engineering, business, and product.
Learn how posts are organised — and how to navigate them.
The 3 most important posts to start with, if you haven't already.
Showing 24 posts
Why GovCon Leads Radar went API-first and horizontal from day one, instead of chasing a narrow niche.
How Social Engagement Radar's strategy phase turned a validated vision into sixteen locked decisions across workflow, capability, stack, and risk.
Why cycle-bound products need their own latency model instead of borrowing real-time P95 conventions.
Inside the week I locked PolicyForge's technical foundation, and the tradeoffs I chose along the way.
The five-question boundary test worked on single AI capabilities. Here's what happened when I ran it across a connected workflow instead.
Mapping PolicyForge's first workflow turned an abstract bet on AI-human boundaries into four concrete decisions.
Choosing the one workflow to build first in PolicyForge, and why dependency-free beats impressive.
How we settled the Agent vs. Copilot debate for an ops-automation product and what it changed about the build.