Our sources
Pineland OS is built from what practitioners are proving in the field. These are the programs, operators, and tools shaping how we build, and the specific lesson we took from each.
Influences, not affiliations. We credit ideas where they come from.
Every entry links out to the source. Descriptions and lessons are our own paraphrase — go read the originals.
A live, cohort-based program where knowledge workers build real agents and workflows across five levels.
Green Beret-founded project management training built on the idea that most teams have an execution problem, not a knowledge problem. What we took: plain-spoken PM that translates military planning — after-action reviews, risk routing, priorities — into business delivery. His free PM resources library is one of the best we've found.
A venture investor's multi-agent chief of staff system working across CRM, email, calendar, and notes.
Former PMI chairs writing on how AI changes the practice of project leadership.
Stanford adjunct professor and co-creator of the Lean Startup and Hacking for Defense. What we took: get out of the building and prove it with customers. His 2026 argument that AI killed the MVP — that a day-one AI-built product is only an “Initial Untested Product” (IUP) until real customers prove it — shapes how we test every agent we build.
A veteran-built career transition community and recruiting firm covering MBA, consulting, finance, and defense tech paths. What we took: give real tools away free, build community in person, and translate military experience into civilian language without apology.
Makers of Harmony, an AI project manager for enterprise PMOs that works inside the systems a team already uses. What we took: AI should live where the work happens, and project leaders should lead rather than chase status. Harmony is the enterprise version of the idea; Pineland OS is the small-team version.
A work platform positioning an AI chief of staff that routes work out to specialist agents.
Anthropic's reference build of a chief of staff agent using persistent instructions and subagents.
The first formal standard for using AI responsibly in project work.
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