Gilles Crofils

Gilles Crofils

Hands-On Chief Technology Officer

Tech leader who transforms ambitious ideas into sustainable businesses. Successfully led digital transformations for global companies while building ventures that prioritize human connection over pure tech.1974 Birth.
1984 Delved into coding.
1999 Failed my First Startup in Science Popularization.
2010 Co-founded an IT Services Company in Paris/Beijing.
2017 Led a Transformation Plan for SwitchUp in Berlin.
November 2025 Launched Nook.coach. Where conversations shape healthier habits

Abstract:

The article argues that “healthy plans” often fail for desk-bound knowledge workers not because of laziness or low motivation, but because they’re designed for clean, uninterrupted time blocks that don’t exist in real schedules dominated by handoffs—meeting to meeting, deep work to urgent Slack ping, laptop to commute, workday to dinner—where attention residue, task-switching costs, stress, visibility concerns on video calls, and late-day decision load make the easiest default (sit, scroll, snack, delay) win. Using a systems lens, it reframes the problem as missing “glue code” at these seams: instead of all-or-nothing routines, people need a built-in third “degraded mode” that triggers automatically when the calendar gets ugly, emphasizing recovery speed over perfect streaks. The piece recommends doing a quick “interface audit” to pinpoint the exact transition where a plan breaks (e.g., the gym plan fails at the laptop-to-commute moment when you’re depleted and the bag isn’t ready) and then installing pre-decided, low-friction “compatible connectors” that fit into time shards—like a 90-second walk or mobility move before opening Slack, a minimum viable 6–10 minute session, camera-safe movement, or a default dinner template—so the plan remains executable even with 6-minute desk lunches, a 16:30 brain fog, and back-to-back calls.

Where plans break between tabs

If your day lives in video calls, Slack pings, and calendar Tetris, the “healthy plan” usually doesn’t fail because you’re lazy. It fails because it was designed for clean blocks of time that just don’t exist. You sit down for 1 meeting, stand up 2 hours later, and your neck feels like it got updated overnight. Lunch is 6 minutes at the desk. By 16:30 your brain adds a light fog filter to everything. Then work bleeds into evening, and somehow that is where every good intention disappears.

Most advice skips the loudest parts of a desk schedule. The seams. Meeting to meeting. Deep work to urgent ping. Laptop to commute. Workday to dinner. Those transitions aren’t neutral. That’s where attention gets stuck, time vanishes, and the easiest default wins.

This is about building plans that survive that reality. Not “find more motivation”. More like adding glue code.

You’ll see how desk time gets chopped into small shards, why all-or-nothing plans collapse on ugly weeks, and why defaults beat willpower when bandwidth is low. Then it gets practical: a quick interface audit to find the exact break point, and “compatible connectors” that fit inside transitions—small, pre-decided, low-friction options that still count when the calendar refuses to cooperate. The goal isn’t perfection. It’s recovery speed.

A failed attempt, in one scene

Say the plan is gym after work. It needs a bag, a change of clothes, and a clean 60-minute block.

It doesn’t fail at the gym. It fails at the laptop-to-commute interface.

The last call ends late. You’re already cooked. You close the laptop, stand up, and notice the bag isn’t there (or it’s there but missing one key thing, so your brain declares the whole mission “complicated”). The commute starts, and the default takes over: go home, sit down, eat whatever is closest.

The fix isn’t a pep talk. It’s a pre-decided connector that runs at that handoff:

If commute starts and the gym is unrealistic, then do the pre-chosen 8-minute alternative that needs no gear and no privacy. The decision happens earlier, so the moment has less friction.

Desk days are handoffs

Desk days are mostly handoffs

Camera on. Shoulders up. The neck feels fine until the 1st time you stand, then it’s like the headset got bolted to the spine. Lunch is 6 minutes of chewing while Slack blinks and the calendar is already yelling about the next call. At 16:30, the brain adds a soft fog filter to everything.

I’m in Lisbon now, and it’s embarrassingly easy for me to work past midnight when things get busy. The first warning sign isn’t existential dread—it’s upper-back tightness and that specific desk posture that makes my wife (trainer + nutritionist) look over and say “sit straight” for about 3 minutes. Then she goes back to her life, and I go back to my tabs.

Once you start looking, the day isn’t made of “work blocks”. It’s mostly handoffs. Zoom ends → the Slack tab reopens → the keyboard posture locks → you forget water again. And most health plans assume those seams are calm, when they’re usually the noisiest part of the system.

In systems terms, the plan fails where it needs glue code, not more motivation. Switching away from unfinished work leaves attention residue (Leroy, 2009). It’s the sticky feeling of the last tab staying open in your head when the next meeting starts. So the connector has to live in the 90 seconds after the call ends—before you reopen Slack.

The calendar does not give clean rectangles

Most plans assume time behaves nicely

A lot of plans are drawn like a map. Calm lunch hour. Predictable after-work window. 45 minutes where you are not a calendar object. It’s the fantasy of a clean block of time, with stable borders and no interruptions. Then people blame themselves when it fails.

The intention–behavior gap is boringly real (Sheeran, 2002). So it’s rarely about wanting it harder. It’s usually the plan being designed for a different operating system.

Keep that gym example in mind: the plan assumes a clean rectangle after work, when what you actually get is a jagged edge.

Desk time arrives in shards, not blocks

Now compare that to what the calendar actually gives you.

A few minutes here. A few minutes there. Sometimes none, because the meeting runs over. Then back-to-back calls. Then a Slack “quick question” that is never quick.

Knowledge work is fragmented by default; field studies observed frequent switching and short activity bouts in office settings (Mark, Gudith & Klocke, 2008). Not a moral failure. Just the environment.

So the rule isn’t “try harder”. It’s “design for shards”—like that 8-minute fallback that fits when the gym plan doesn’t.

If it needs perfect blocks, it dies on an ugly week

A plan that only works when time is contiguous will run for 2 weeks, then die the first time work becomes real again. That isn’t a motivation problem. It’s a systems problem.

COM-B would call it an opportunity constraint—plain version: the calendar leaves no room to act when you need it (Michie et al., 2011). Time pressure adds friction at the exact moment of action (Fogg, 2003/2009). Which is why the bag not being ready at the commute handoff matters more than your intentions at 09:00.

Transitions beat motivation

The repeat offenders in a desk schedule

Meeting overrun into the next call. Deep work cut by an urgent ping while the previous task is still open. Desk lunch that erases the only movement window. “One more task” that turns into a bedtime cliff. Travel day that lands you home depleted.

None of this is rare. And when the system is in low-power mode, the body picks the cheapest default. Sit, scroll, snack, delay. Stress can make those defaults stickier (Smyth et al., 2007). If the new behavior isn’t the cheapest option at the transition, it usually loses.

In the gym example, the cheapest default at “commute starts” is “go home as-is.” The connector’s job is to make the next best thing cheaper than that.

The evening handoff multiplies everything

When the workday hands off to “evening life”, activity tends to drop later in the day (Atkin et al., 2012). Add stress and it often turns into convenience eating, because the kitchen is closer than a plan.

If plans treat that handoff as “do the full thing or fail”, the spiral starts. The practical implication is boring but useful: the evening interface needs a low-friction fallback version by design—like “8 minutes at home counts” when the gym is dead on arrival.

Default modes beat willpower

The 2 state trap in desk life

The danger isn’t the missed workout. It’s what the miss means when the day is already in pieces, the shoulders are tight, and the brain is fried. Most plans have only 2 states: full plan or nothing. Desk life needs a 3rd state that triggers by default when a transition eats the schedule.

Call it degraded mode: the smallest version that still counts and keeps the system running (Marlatt & Gordon, 1985).

Rigid rules also make it easier to fall into the “might-as-well” spiral. Marlatt & Gordon (1985) call it the abstinence violation effect.

Habits survive misses. Missing a single opportunity doesn’t wipe progress (Lally et al., 2010). So the practical target is recovery speed after disruption, not perfect continuity.

Decision load hits when your bandwidth is lowest

The decisions your plan should have made already

It’s tempting to think the problem is motivation. Often it’s just late-day decision load. The plan waits until a transition, then asks for choices it could have pre-made.

Typical traps

  • pick a workout or pick the “short version”
  • figure out food vs “just snack”
  • find privacy for a call while moving
  • decide if it is socially acceptable to stand on camera

Each choice is a new failure surface. And at 18:40, with zero slack, that’s basically the plan asking to lose.

In the gym case, “do I still go?” becomes a whole decision tree. A connector deletes the tree.

Cognitive load makes you pick the easy thing

Under cognitive load, choices shift toward the immediate option (Shiv & Fedorikhin, 1999). That’s not a character flaw. It’s a predictable bias under load.

Also worth saying plainly: the classic ego depletion story has replication cautions. So it’s safer to talk about friction plus bandwidth, not a universal willpower battery.

Visibility is a tax on movement

Open-plan offices, busy home setups, and video calls turn small healthy actions into an impression-management problem. People avoid standing or taking breaks because it can look like they are not working. Video calls add another layer of being “on display” (Bailenson, 2021).

So the behaviors that survive are often low-visibility ones, like a camera-safe posture change or a quick off-camera step-away that doesn’t require a social negotiation.

Defaults do the heavy lifting

When the default is opt out, behavior follows

Workplaces already run on defaults. Most people never touch settings, not because they love the default, but because switching costs attention. Johnson and Goldstein (2003) showed this sharply with organ donation: opt-out defaults get far higher participation than opt-in ones.

Translate that to a desk handoff. If the default after a meeting is sit, open Slack, scroll, then that is what will happen—even with “high motivation” on paper.

So in the gym example: if the default when you start your commute is “go home,” that’s what happens. A connector changes the default.

Tiny connectors can help without breaking work

Microbreak research is basically choice architecture, applied to bodies instead of checkboxes. A meta-analysis reports microbreak benefits for well-being and performance that is generally neutral or sometimes better (Kim, Park & Niu, 2017).

Even physiology is annoyingly compatible with shards. Breaking sitting with short bouts of light walking can improve post-meal glucose compared with prolonged sitting (Dunstan et al., 2012). Example, not a prescription. The point is that tiny units can matter when they fit the handoffs—like “90 seconds before Slack” or “8 minutes after commute.”

The interface audit

Find the break point, not the moral story

When a day “fails”, it helps to treat it like a small incident report, not a personality test. For me, it helps to write it like a bug ticket.

A simple audit

  • Where exactly did it break, at which transition
  • What was the active constraint at that moment: time, energy, privacy, location, autonomy
  • What did the plan assume would be true right then
  • What did it require right then: prep, gear, travel, shower, extra choices
  • What did the environment default you into: desk, sofa, kitchen, scrolling

Vague self-blame gives zero debugging signal. A bug report gives you a lever. In tech, nobody says the service is “lazy” when a dependency times out. Same logic.

Compatible connectors are boring on purpose

The spec for a bridge that works on ugly days

A compatible connector is a pre-made bridge that runs when the schedule collapses, not when it behaves. Engineering-ish criteria

  • pre-decided
  • small enough for time shards
  • low-visibility
  • minimal context switching
  • still doable when tired

The aim isn’t to win the day. It’s to make failure cheap and recoverable.

Connector shapes that fit desk constraints

  • Meeting-end if–then: if the call ends, then 90 seconds of walk or mobility before Slack
  • Minimum viable session (8 minutes that counts): set a timer and do 4 rounds of: 40s brisk step-ups/stairs or fast walk in place + 20s rest. No gear, no floor time, no privacy.
  • Default meal template (3 items, zero thinking): 1 protein + 1 frozen veg + 1 carb. Example: canned tuna (or eggs) + frozen mixed veg + microwaved rice (or bread).
  • Camera-safe movement: posture change, off-camera step-away, or standing option that doesn’t trigger social friction

These are standard behavior-change techniques in plain clothes: action planning, prompts, cueing (Michie et al., 2013). The exact habit matters less than having a pre-decided fallback that triggers at the right interface.

Consistency is recovery speed

Continuity beats streaks on real calendars

Desk days are noisy by default. So a better scoreboard isn’t “did it happen every day,” but how fast things come back online after a miss. Think uptime and mean time to recovery. Re-engage within 48–72 hours. Keep weekly activity stable even when meetings explode.

A missed day isn’t a hard reset anyway. In habit data, missing a single opportunity didn’t wipe progress (Lally et al., 2010). The bigger risk is what happens right after the lapse, the Marlatt & Gordon inflection point (1985).

A dry rule that helps is this: if it only passes on perfect weeks, it’s not a plan, it’s a wish.

A small compatibility filter for new advice

Quick checklist

  • works in fragmented time, not only 45 clean minutes
  • has a default degraded mode when meetings run late
  • minimizes decision points at 18:30 when the brain is soup
  • requires little context switching, gear, or travel friction
  • doesn’t depend on “after work” being predictable
  • assumes hassle factors matter because they do (DellaVigna & Malmendier, 2006)

One more test catches the hidden clean-boundary assumption. Look at where the plan puts its steps. If most steps sit on the same 2–3 interfaces—meeting ends, commute starts, dinner begins—the plan should specify what happens there. Otherwise the interface will choose for you, like a production incident that keeps recurring because nobody wrote the runbook.

If your day is chopped into meetings, pings, and 6-minute desk lunches, the plan didn’t fail because you “lack discipline”. It failed at the seams. The handoffs. That weird 90 seconds between a call ending and Slack winning again. When time comes in shards, all-or-nothing routines collapse fast, especially on ugly weeks.

The workable alternative is systems thinking. Run a quick interface audit, find the exact break point, then install boring connectors that survive low energy and low privacy: a meeting-end micro-move, an 8-minute degraded mode session, a default dinner that doesn’t require 12 new decisions at 18:40. Not perfect, just recoverable.

Most days break in the same 2 or 3 handoffs. Put the connector there, not in the fantasy calendar.

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25 Years in IT: A Journey of Expertise

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Nook
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Product Lead
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Making health coaching feel like talking to a friend who actually gets you.

2024-

My Own Adventures
(Lisbon/Remote)

AI Enthusiast & Explorer
As Head of My Own Adventures, I’ve delved into AI, not just as a hobby but as a full-blown quest. I’ve led ambitious personal projects, challenged the frontiers of my own curiosity, and explored the vast realms of machine learning. No deadlines or stress—just the occasional existential crisis about AI taking over the world.

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SwitchUp
(Berlin/Remote)

Hands-On Chief Technology Officer
For this rapidly growing startup, established in 2014 and focused on developing a smart assistant for managing energy subscription plans, I led a transformative initiative to shift from a monolithic Rails application to a scalable, high-load architecture based on microservices.
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2010 - 2017

Second Bureau
(Beijing/Paris)

CTO / Managing Director Asia
I played a pivotal role as a CTO and Managing director of this IT Services company, where we specialized in assisting local, state-owned, and international companies in crafting and implementing their digital marketing strategies. I hired and managed a team of 17 engineers.
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SwitchUp Logo

SwitchUp
SwitchUp is dedicated to creating a smart assistant designed to oversee customer energy contracts, consistently searching the market for better offers.

In 2017, I joined the company to lead a transformation plan towards a scalable solution. Since then, the company has grown to manage 200,000 regular customers, with the capacity to optimize up to 30,000 plans each month.Role:
In my role as Hands-On CTO, I:
- Architected a future-proof microservices-based solution.
- Developed and championed a multi-year roadmap for tech development.
- Built and managed a high-performing engineering team.
- Contributed directly to maintaining and evolving the legacy system for optimal performance.
Challenges:
Balancing short-term needs with long-term vision was crucial for this rapidly scaling business. Resource constraints demanded strategic prioritization. Addressing urgent requirements like launching new collaborations quickly could compromise long-term architectural stability and scalability, potentially hindering future integration and codebase sustainability.
Technologies:
Proficient in Ruby (versions 2 and 3), Ruby on Rails (versions 4 to 7), AWS, Heroku, Redis, Tailwind CSS, JWT, and implementing microservices architectures.

Arik Meyer's Endorsement of Gilles Crofils
Second Bureau Logo

Second Bureau
Second Bureau was a French company that I founded with a partner experienced in the e-retail.
Rooted in agile methods, we assisted our clients in making or optimizing their internet presence - e-commerce, m-commerce and social marketing. Our multicultural teams located in Beijing and Paris supported French companies in their ventures into the Chinese market

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