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We tend to judge ourselves by our intentions and everyone else by their actions. It’s a subtle bias that feels harmless, but it quietly creates process debt everywhere from missed emails to failed system implementations. It it time to unpack why intentions feel productive, why actions are uncomfortable, and how time, habits, and learning curves expose the gap between the two. Turns out, most treadmills don’t fail we just never turn them on.

Distraction is the most convincing fake work in modern business. It feels urgent, but it’s usually just reaction disguised as productivity. In knowledge work, without clear constraints or clear strategy, we confuse motion with meaning. This episode explores how reaction, ambiguity, and shifting priorities create process debt—and why clarity is the only antidote to constant distraction.

We joke that “this meeting could’ve been an email,” but Charlie Munger would flip that logic on its head. In most organizations, the real failure mode isn’t too many meetings — it’s hiding work inside emails no one ever truly acknowledges. A good meeting, with a shared agenda and a visible workflow, creates something email never can: confirmation, context, and community. Reduce your emails by having better meetings. That’s how you start paying down process debt.

Blame is the fastest reflex in business. A quick way to dodge discomfort without fixing anything. But real process health comes from slowing down, understanding the work, and building boring-but-powerful rituals that prevent chaos. When we value clarity over reaction, the fires stop before they start.

Lately, when people talk about AI, I think they believe they are buying Rosie. But we are not building Rosie. Not yet. And chasing Rosie too early is how you quietly pile up a whole new layer of process debt. AI is not doing your dishes In the real world, the direction of AI right now is information, not activity. It can summarize meetings, draft emails, write status updates, brainstorm project plans. It can churn through data at a scale that used to require an army of analys

Collaboration in the modern workplace frequently falters before actual work starts. This week’s Process Debt story highlights how a simple profile update request turned into a 20-minute ordeal of password resets and confusion. It demonstrates how invisible process friction can disrupt even the simplest tasks, not due to individual failure, but because our systems impose unnecessary obstacles.

AI can generate anything, but it can’t deliver the one thing computers depend on: predictable abstraction. Unlike ones and zeros, LLMs guess — which means humans still end up in the middle, fixing the gaps and cleaning up the process debt that follows.

The AI boom feels a lot like the telecom bubble of the early 2000s — a race to build infrastructure faster than anyone can figure out how to monetize it. Investors like Michael Burry and industry insiders aren’t betting against AI itself; they’re betting against the unsustainable hype cycle surrounding it. Just like fiber-optic cable once outpaced demand, today’s AI valuations are outpacing real business value. The tech is real, the promise is real, but the process behind it

We see it everywhere. In school, a simple assignment becomes an epic because the deadline is far away. On Saturdays, three chores take all day. Fifteen chores before lunch, though, and suddenly we are a machine. Inside teams it looks the same. Years ago, we built monthly sales reports with clunky tools. Data dumps to Excel, formulas that would make a grown analyst cry, screenshots pasted into PowerPoint. It was slow, manual, and fragile. But we had a clear ritual. Billing fin

Rituals aren't the issue. It's rituals without results that matter. In this episode, we redesign stand-up meetings and status updates to drive work forward. Rotating facilitation highlights gaps, and a simple checklist for Mondays, Wednesdays, and Fridays helps maintain standards while fostering innovation. We frame each meeting as a two-party agreement between management and creators, and discuss the importance of recognition.

Forget the meme that “this meeting could’ve been an email.” The real fix is an acknowledgement cycle: tiny Looms, one change at a time, a weekly “did you do the thing?” scoreboard, and pull-based habits over notification spam. Transport information and confirm that it has become a shared understanding.

When Six Sigma meets slide decks, the math stops working. Manufacturing aims for three defects per million; knowledge work hides a million invisible defects behind one perfect presentation. In this episode of Process Debt, Chris and Toby unpack why “good enough” varies by context, how to decide which processes need rigor, and how novelty and personality often disguise systemic inconsistency. Not every task needs five sigma, but every team needs to know where precision actuall

One year of weekly episodes taught us a simple law: process must be easy to find and easy to hand off. Most teams don’t drown in bad tools; they drown in invisible, un-transferable processes wrapped around good tools. Start with discoverable docs, involve operators early (try before you buy), and aim for sharp-shovel progress over perfect-axe fantasies. The absolute scale comes from people who turn ideas into repeatable practices others can use without you in the room.

Government shutdowns feel like any messy ops outage: routines skipped, incentives ignored, fallout everywhere. PUMP (Process, Unintended consequences, Money, Power) is a fast way to slow down blame, surface real constraints, and decide like adults, so you can restart the machine with less drama and more predictability.

In a factory, defects pile up in a visible scrap bin. In knowledge work, they hide, inside meetings, decks, and inboxes. This piece shows how to define a clear spec, make outputs countable, reward accuracy over theater, and keep a visible “defect bag” so you can spot rework, shorten decision cycles, and slash process debt.

“More communication” is usually a polite way of saying “I’m not aligned.” Cut the volume, sharpen the purpose, and give people a reliable form so the message can finally land.

The modern workday is a carnival of micro-distractions—and our meetings invite them. One tiny habit flips the script: assign a rotating scribe to capture purpose, decisions, and 1–3 actions. Pair it with real time-boxes and separate “connection” from decision time to turn rituals back into results.

AI can scaffold apps in minutes, but without software-style guardrails (branches, small commits, unit tests), “vibe coding” turns into vibe chaos. Steal developers’ rigor for business change: pilot locally, commit small, add checks, then merge. Small commits beat big vibes every time.

The birthday paradox fools our intuition, and so do bloated meetings. Complexity doesn’t need more bodies; it needs more clarity, tighter roles, and decision rights closer to the work.

Most of our mental replays feel like diligence, but they’re actually personal process debt—anxious loops with cost and no output. Play both sides, write by hand, separate what you own from what you observe, move your body, and timebox the replay. Clarity is kindness, especially inside your own head.