Blog posts on building with AI agents
The real leap isn't just a smarter model. It's durable context, ranked workstreams, startup routines, and an environment designed for re-entry.
ai-pm-osA technical walkthrough of start-day, the Chief of Staff planner, the public state layer, and resumable cmux workstreams.
Why I turned a growing pile of AI skills into a product-management operating system with durable workstream context and a start-of-day command center.
ai-pm-osThe auto-pilot skill routes requests to the right skill automatically. Routing tables, intent parsing, multi-skill chaining — how one meta-skill replaced a 97-option menu.
orchestrationI published my AGENTS.md — the single file that configures how my AI agent behaves across 76+ skills. Identity, memory, to-dos, boundaries, and tool routing in one markdown document.
agents-mdHow a team went from markdown-first specs to an agent skill that writes PRDs with auto-referenced internal sources — in two weeks.
product-managementA practical guide to building 35+ AI agent skills that automate morning triage, email, project management, and more — no engineering degree required.
workflowAfter distilling 2,718 observations, found ~90% were noise. Seven plugin changes cut volume by ~80% while preserving signal.
memory-systemA proactive to-do system that auto-captures from Slack, Gmail, Calendar, and Linear — prioritizes, syncs to calendar, and surfaces at every session.
workflowAfter a week of running amp-mem, context injection got noisy. Five targeted fixes brought the signal-to-noise ratio back.
memory-systemDebugging why amp-mem plugin tools returned empty results — the silent failure mode of Amp's experimental $ tagged template API.
debuggingFrom zero to cross-session intelligence — a ~500-line bash CLI backed by SQLite + FTS5, paired with a TypeScript plugin that hooks into Amp's event system.
memory-systemA "start of day" skill that triages Slack, Gmail, Calendar, and comments from Figma, Docs, Linear, and Notion — inbox zero in under 10 minutes.
workflow