Most writing about AI tools is produced by people whose job is producing writing about AI tools. This site is the opposite of that.
The exact automation that replaced a manual step — including the two steps that got thrown away before it worked. Every article shows you what broke before showing you what works.
Head-to-head comparisons and multi-month assessments in real consulting contexts. Not "is it impressive in a demo" but "is it still here eighteen months later."
Longer-form essays on how to think when the machine can do the first draft. Less about tools, more about the professional judgment that tools can't replace.
Drafts, critiques, and generates the contrast that makes a weak argument visible. The tool used most here — and the one written about most critically.
Every client engagement note, every workflow failure, every pattern from years of practitioner work in enterprise systems. The vault that becomes this archive.
Validates topics before committing to write them. Ensures each article addresses questions practitioners are actually asking, not just interesting ones.
The briefings — shorter, faster, more tactical than long-form articles. Delivered directly to practitioners who can't check a site every week.
The templates and prompt chains extracted from articles. The same systems, packaged to drop into your vault and run in forty minutes.
A live engagement, a broken workflow, a tool decision made under deadline pressure. The source material has to cost something — time, frustration, or a $300 tool subscription tried for three months and then dropped.
Strip the client-specific context. Extract the replicable pattern. The test: can someone with equivalent experience run this workflow in forty minutes, from only this article?
Where does this workflow break? What would make you delete it? The failure mode is as important as the method itself. An article that doesn't show how to break it hasn't told you what it actually is.
Every article in this archive starts from real friction — a live engagement, a broken workflow, a tool decision made under deadline pressure. Nothing here is written to fill a content calendar. The standard is whether the work survived contact with reality.
The voice is first-person because the experience is first-person. A highly experienced practitioner in enterprise systems and AI workflows, working at the intersection of complex client engagements and automation tooling. I think about AI tools the way I think about any operational platform: not "is it impressive in a demo," but "does it still earn its place in the workflow eighteen months in, when the novelty's gone and the edge cases have shown up."
This isn't written by a full-time creator. It's filed while holding a demanding client-facing role, which is part of the point — the workflows here have to work for someone with no spare hours, because there are none.
Only what is actually run. Not what's trending, not what an affiliate program paid the most for. If a tool isn't genuinely in the stack, it doesn't appear here.
The failures stay in. Every workflow includes the parts that broke — the step that got automated and had to be deleted. The failures are usually more useful than the successes.
Every affiliate link is disclosed, every time. You'll always be told which links earn a commission — and when something tried didn't make the cut, including things that could have earned a commission.
Every tool has to earn its place in a workflow with no slack. Much of the work here comes from the supply-chain planning world — SAP IBP, o9, OMP pursuits and rollouts — and the standard is whether something survives the Friday afternoon before a Monday client session.
No team. No spare hours. Every automation has to run without babysitting, or it doesn't run at all. The workflows here are built to that constraint.
Managing complex information environments where the bottleneck isn't access to tools — it's knowing which tools to eliminate. These articles are written for people who make that call.
No schedule. No filler. No sponsored placements. A new build goes out only when it's worth your ten minutes — usually every 2–4 weeks.
"I'll only send you something I would have written even if nobody paid me to. The day that stops, the newsletter stops."