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

Your brain never clocks out when work can still ping you at night in Beijing Berlin or Lisbon

Abstract:

The article explains how “random reachability” after work—keeping a laptop half-open, a phone face-up, and your mind quietly monitoring for messages—creates a kind of “standby sleep” where you may fall asleep but don’t fully power down, because telepressure and intermittent reinforcement train the brain to run constant micro-checks “like a system waiting for an interrupt.” Drawing on research and an on-call analogy, it argues the biggest sleep killer for many desk workers isn’t screens or bedtime perfection but uncertainty: even ignored notifications and mere anticipation can fragment sleep, trigger phantom buzzes, and produce a next-day signature of sticky mornings, early comms-scanning, jittery attention, tab-hopping, and lower tolerance for ambiguity. Instead of turning evenings into another self-improvement project, it recommends making reachability boring and predictable: run a simple 3-day “reachability variance audit” that tracks late messages, anticipation, and “just in case” checking (then interpret variance, not totals), set one clear routing rule for after-hours contact with an explicit exception path, create a “boring urgency gate” via a single true-emergency channel (call/SMS) with a tired-proof definition of urgent, and use cue control by moving the phone away and making notification rules unambiguous—optionally with one short late check window and a brief status note before dinner to reduce inbound pings. Grounded in the author’s own long, late desk-life across Beijing, Berlin, and Lisbon (French, born 1974), the central takeaway is deliberately unglamorous: when reachability becomes explicit and predictable, the nervous system stops acting on-call and sleep gets a fair chance.

It’s 21:30 and the workday is technically over. But the laptop stays nearby. Dinner takes longer than it should. Your phone is face up, within reach, not because you’re scrolling, but because you might need to respond. Not a lot is happening. That’s the problem.

For a lot of desk jobs, the hardest part about sleep is not falling asleep. It’s that light, on-standby sleep where you’re off, but not really off. A message could land. A thread could move. And even if nothing happens, your brain keeps doing tiny background checks anyway. Like a system waiting for an interrupt.

This article is about that pattern and what to do with it without turning your evenings into another project. You’ll get a clear explanation of why random after-hours reachability hits recovery so hard, including telepressure (that internal “reply now” itch) and intermittent reinforcement (random rewards that train checking). You’ll see what “standby sleep” looks like at night and the next morning. And you’ll get a small set of practical levers that reduce uncertainty instead of adding effort, like a simple reachability rule, a boring urgency gate, and a short variance audit you can run in 3 days.

The goal is not perfect bedtime habits. It’s making reachability predictable enough that your nervous system stops acting like it’s on call.

I’m french, born in 1974, and I’ve spent most of my adult life at a desk across Beijing, Berlin, and now Lisbon, often past midnight. When your teams are spread across time zones, “after hours” is a moving target, and randomness creeps in by default. When the system becomes predictable, the brain can finally stand down.

Random reachability keeps the brain on standby

The evening turns into a quiet watch shift

The tell is physical before it’s intellectual: the jaw set, the shoulder tension, the slightly held breath when a notification could happen. You’re not working, but you’re not settling either. Tiny “micro-alarms” keep firing in the background, even with the screen dark.

That monitoring feeling is not just in your head. Research on after-hours availability expectations links extended reachability to poorer detachment and weaker recovery, which often shows up as sleep problems for desk workers (Dettmers, 2017; Sonnentag & Fritz, 2007). Annoyingly, it’s that boring.

A useful way to describe it is micro-alarms. Brief internal status checks. You don’t even have to open Slack. The brain still scans for signals that you should be responsive, like a system waiting for an interrupt.

Once you notice micro-alarms, the next question is what keeps them running. Often it’s not volume. It’s unpredictability.

If messages only arrive in a clear window, the brain can learn to downshift outside that window. If pings are random, the brain stays in listening mode because maybe this time it matters. Intermittent reinforcement helps explain why random cues create stubborn checking habits, even when the “reward” is rare (Ferster & Skinner, 1957).

This is why a lot of generic sleep advice misses the main lever for knowledge workers. It’s not only blue light or “perfect” bedtime habits. It’s uncertainty about whether you might be needed.

Telepressure is the name for that internal push to respond fast even when you’re trying to be offline, and it predicts worse detachment and weaker recovery (Barber & Santuzzi, 2015; Dettmers, 2017). Yes, it’s that small and that dumb.

Evidence you can actually use

Four anchors without turning this into a checklist

A few findings show up again and again.

  • The pressure matters even when the inbox is not exploding: feeling pushed to respond quickly links to worse sleep quality and more fatigue (Barber & Santuzzi, 2015).
  • The on-call analogy is the cleanest mental model for desk work. Even if nobody writes, you keep half a brain reserved for Slack “just in case,” and that’s enough to stop real detachment.
  • Fragmented sleep has a recognizable next-day signature: attention gets less stable. You do more lapses, more tab-hopping, more reaction-time variability.
  • Notifications have a cost even when ignored. In lab work, a phone notification impaired performance even when participants did not answer it (Stothart, Mitchum & Yehnert, 2015).

You don’t need a study dump. The shape of the problem is consistent. Random reachability keeps the nervous system slightly armed.

The standby sleep signature for desk people

How it shows up at night

The triggers can be subtle.

You fall asleep fine, then the night feels like thin sleep. Not dramatic awakenings. Just a sense you never fully powered down. In plain terms it is often a continuity issue, more wake-bouts and time awake after sleep, even if you can’t list them.

It can feel different from anxious overthinking, and that difference matters. The wake-ups are sometimes cue-driven and a bit mechanical.

  • a hallway sound
  • a partner turning with a phone vibration
  • a phantom buzz
  • the urge to check the time

Research on phantom vibration and ringing shows how expectation can generate false alarms (Rothberg et al., 2010; Drouin et al., 2012).

If you’re the type who checks HRV and sleep scores in the morning, this is where numbers can mislead. Consumer devices often miss brief awakenings and underestimate wake time, so a “good” score can coexist with feeling wrecked. Treat it as a proxy, not a verdict.

The next day feels like personality drift

Mornings can start with a weird reload time. Awake but sticky. The reflex is to scan comms early, not from ambition, but because uncertainty feels physically irritating.

Then attention gets jittery. Work becomes tab-hopping, inbox refreshing, and a sharper tone with low tolerance for “we’ll see.” Fragmentation harms vigilance and increases lapses and variability (Bonnet, 1986; Lim & Dinges, 2010). A jumpy brain likes reassurance.

If that is the output, the input to change is predictability, not motivation.

A 3 day reachability variance audit

Quick test not a new tracking hobby

This is not a full sleep diary or a wearable project. It’s a 3-evening, 3-morning reality check focused on uncertainty. Total time: 30 seconds at night, 30 seconds in the morning.

Evenings log the conditioning signal

Pick a personal cutoff time. Each night, mark 0 or 1.

  • Message arrived after cutoff
  • Anticipated a message anyway
  • Checked just in case

That middle item matters. Standby-style effects show anticipation can hurt sleep even without a call, and telepressure frames this as preoccupation, not inbox volume (Barber & Santuzzi, 2015).

Mornings log continuity and scanning

Keep it simple. Binary is fine, or 0–2.

  • Sleep felt like 1 block (0–2)
  • Micro-alert moments remembered (0–2)
  • Urge to scan comms early (0–2)

This lines up with what fragmented sleep tends to hit first the next day, stable attention and vigilance (Lim & Dinges, 2010).

Interpret variance not totals

Don’t obsess over how many pings happened. Look at variance.

One random late message can teach always listening. The same number of messages inside a known window is easier to contain. Intermittent reinforcement is sticky and hard to extinguish (Ferster & Skinner, 1957).

If randomness is the driver, the best fixes are usually system rules, not prettier bedtime habits.

Remove the randomness

Make evenings legible with 1 routing rule

The brain powers down when the system is predictable. A routing rule makes after-hours contact boring and explicit, which helps detachment in boundary management research (Dettmers, 2017).

The fear is looking unresponsive. The trick is being specific and having an exception path.

  • “After 20:00 I reply tomorrow. Urgent use SMS or call.”
  • “If it blocks a release, call me. Otherwise I’ll answer at 09:00.”
  • “After 21:00 I’m offline. Put it in the doc, I’ll pick up morning.”

Treat it as a reliability feature, not a personality trait. Role ambiguity is a real stressor and research keeps pointing in the same direction (Jackson & Schuler, 1985; Gilboa et al., 2008).

Build a boring urgency gate

Pick 1 channel for true urgency, usually a call or an SMS keyword. Everything else waits for a scheduled reply window.

Then define urgent while you’re tired and your judgment is not at peak performance.

  • Urgent means someone is blocked now, or a real-time event is unfolding
  • Important means it matters, but it can wait for the next planned check

Norms and control can move sleep in real workplaces. In the STAR intervention, shifting work practices and increasing control improved sleep outcomes measured with actigraphy (Olson et al., 2015). Translation for desk work: expectations and control are not decoration.

Cue control without screen rules cosplay

Move the portal.

If the phone is within reach, it becomes the fastest uncertainty reducer. Even the mere presence of a smartphone can reduce available cognitive capacity, so distance is not just symbolism (Ward et al., 2017). A concrete version is charging it across the room instead of on the bedside table.

Next, make notification rules unambiguous so you don’t live in “maybe.” Partial filtering can be the worst of both worlds because the brain stays in signal-detection mode. It is often cleaner to go fully off, or allow only the 1 deliberate emergency channel.

Close the loop with a deliberate last check time. The aim is not purity. It is closing the uncertainty tab so you don’t renegotiate with yourself every 12 minutes. Batching checks can reduce stress in field research (Kushlev & Dunn, 2015).

When you can’t disconnect

A late window that makes checking boring

A workable compromise is a single late check window. 10 to 15 minutes around 21:30, then off.

This trains timing, not willpower. If checking only happens in that small slot, the brain stops sampling the channel every time unease spikes. Rate limiting interrupts, but for your sleep.

And if it is truly an on-call week, formalize it as much as you can so non on-call nights are actually off. Standby research is pretty clear that anticipation alone can fragment sleep. Half on call every night is the worst mode.

A status note that prevents the evening pings

Another lever is reducing inbound messages by removing other people’s uncertainty. A short status note before dinner can prevent the quick check “are you around” pings. Clarity reduces role ambiguity and can reduce telepressure by making expectations explicit (Jackson & Schuler, 1985; Gilboa et al., 2008; Barber & Santuzzi, 2015).

A template keeps it fast.

Status: X is done, Y is next. Next update at 09:00.
If blocked now call or SMS. Otherwise I’ll reply in the morning window.

State, next time, escalation path. Calm tone, no apology, no extra availability promises.

What improvement looks like when life stays messy

Useful wins are boring.

  • Fewer micro-alert moments and fewer “did i miss something” checks
  • Waking up feeling like sleep was 1 block, even if it was short
  • Less urge to monitor comms in the morning
  • More stable attention after a fragmented night (Lim & Dinges, 2010)

If anything gets measured, measure trends with guardrails, not nightly grades. A simple “1 block” rating is often enough.

Async tools plus ambiguous urgency is a perfect recipe for telepressure. Telepressure is expectations turned into internal monitoring (Barber & Santuzzi, 2015). Changing the system people operate inside can improve sleep outcomes, not through heroics, but through clearer norms and control (Olson et al., 2015).

Across Beijing, Berlin, and Lisbon, the same pattern keeps coming back. Predictability lets the brain stand down. Make reachability boring and explicit, and sleep gets a fairer chance.

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25 Years in IT: A Journey of Expertise

2025-

Nook
(Lisbon/Remote)

Product Lead
Building the future of health coaching. Leading product development and go-to-market strategy for a platform that makes personal wellness accessible through natural dialogue.
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.

2017 - 2023

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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