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 32 posts
How GovCon Leads Radar turned speed and cost promises into enforceable, measurable guarantees users can hold it to.
Why an AI copilot's real safety test isn't preventing every mistake — it's catching and recovering from the ones it can't avoid.
How I built GovCon Leads Radar's AI layer to support judgment without ever making the call for the seller.
GovCon Leads Radar's approval flow almost got designed around a feature the product doesn't have. Here's what shipped instead.
How I closed out the strategy phase for GovCon Leads Radar by locking the stack, budgets, and a risk register before writing a line of build code.
Why I picked one daily workflow first, and what mapping it revealed about the judgment calls sellers actually make.
How I turned GovCon Leads Radar's revenue, trust, and growth goals into testable assumptions before writing code.
How I figured out GovCon Leads Radar's real bottleneck, locked its product category, and turned goals into metrics.