Personal essays, notes, and ideas worth sharing.

Author: Lonnie Fields (page 19 of 26)

I Tried the Sleep Divorce Trend for 30 Days and It Actually Saved My Relationship

The Breaking Point at 2 AM

My husband snores. Not the cute, occasional snore you hear in movies. I’m talking about a sound that registers somewhere between a chainsaw and a moose in distress. For years I’d nudge him, elbow him, hiss his name into the darkness like I was summoning a ghost. We’d laugh about it in the morning. By night, I’d be awake at 2 AM contemplating divorce, or at minimum, soundproofing.

Then in December, my sister sent me a TikTok with a knowing emoji. It was about “sleep divorce” – couples sleeping in separate beds or rooms. The comments were full of people saying it changed their lives. I rolled my eyes so hard I thought I’d see my brain. But here’s the thing: I was also desperately tired, and my husband had dark circles under his eyes that made him look like a professional wrestler.

So when I saw that the American Academy of Sleep Medicine 2025 survey findings showed this actually works for 75% of couples, I decided to stop being stubborn and try it. For 30 days. As an experiment. For science. And my marriage.

Day 1 Through 7: The Awkward Honeymoon Phase

We set up the guest room the way you’d prepare for an unwanted houseguest – functional but slightly guilty. I felt like I was cheating on our relationship. My husband felt like he was being punished. We made jokes to cover the weirdness. “It’s not you, it’s your respiratory system,” I said. He laughed. We both knew I was serious.

That first night alone in bed was strange. Quiet. Too quiet. I kept checking my phone at 3 AM like I’d missed something. But here’s what I noticed by day four: I actually slept. Eight hours. Uninterrupted. I woke up and couldn’t remember my last dream, which meant my brain had finally stopped white-knuckling through the night.

My husband reported similar findings. No more thrashing around trying to find a position where he wouldn’t wake me up. No more waking every forty minutes to check if I was still alive (yes, he does this). The guilt wore off around day six. By day seven, we were actually excited about bedtime.

The Middle Stretch: When Something Unexpected Happened

By the third week, we started having better conversations. Not couple’s therapy conversations where everything feels performed and tense. I mean actual, easy talk. We’d sit in the kitchen with coffee and genuinely ask about each other’s day instead of just collapsing into shared exhaustion. Turns out when you’re not rage-tired, you actually like your person more.

The data backs this up. According to the National Sleep Foundation Sleep in America 2025 Poll, 68% of adults say their partner’s sleep habits ruin their rest at least a few nights weekly. That’s most people. Most people are sleeping poorly because their person exists in proximity. We’re not alone in this, and somehow that made it easier.

I also noticed I stopped resenting him for things that weren’t actually his fault. He couldn’t control his snoring. I couldn’t control my light sleeping. Neither of us was wrong. We were just incompatible at 1 AM. Once I accepted that, everything shifted. I wasn’t angry anymore. I was just… sleeping.

Day 30: The Unexpected Conclusion

Here’s where I’m supposed to tell you we missed each other so much we went back to sharing a bed and everything was magically fixed. That’s not what happened. We didn’t want to go back. Not completely, anyway.

What we did was compromise. We sleep separately most nights because the sleep quality improvement is real and measurable. But Sunday nights we share a bed because it matters to us emotionally. We get actual sleep and actual intimacy without having to sacrifice one for the other. It turns out you don’t have to choose.

The trend feels less fringe than it did a month ago. Mattress companies reported a 40% jump in single bed sales to couples’ households last year. Sleep researchers are taking it seriously. One in three Americans sleeps separately from their partner now, up from one in four just two years ago. This isn’t quirky anymore. It’s practical.

Who This Is Actually For

I’m recommending this specifically to anyone who’s tired and resentful about it. Not people with actual relationship problems that need therapy. This isn’t a band-aid for serious issues. But if you’re like us – fundamentally compatible people whose bodies just don’t align at night – then you’re allowed to fix that. You’re allowed to prioritize sleep. It’s not romantic failure. It’s problem-solving.

It’s for the light sleeper with the heavy snorer. For the person who gets cold while their partner radiates heat like a furnace. For couples with different schedules, different temperature needs, different everything except the part that matters.

Try it for thirty days. Get a cheap mattress or use a guest room. Keep your standards flexible. Pay attention not just to how you sleep, but how you feel the next day. How you feel toward each other. Maybe it won’t work for you, and that’s fine too. But if you wake up one morning and realize you’re not angry anymore, you’ll know it was worth being uncomfortable for a month.

Have you tried this? I’m genuinely curious what happened. Send me a note and let’s talk about it over coffee. Or separately. I respect whatever works for you.

I Let AI Edit My Therapy Journal for Three Weeks. Here’s What Terrified Me.

The Setup: Why I Thought This Was a Good Idea

In late February, I downloaded Claude 3.7 Sonnet the same day Anthropic released it. Not because I’m an early adopter who needs to feel special, but because I was curious about something specific: the extended thinking mode. Forty minutes of internal reasoning before answering. That sounded like actual contemplation, which is basically what I pay my therapist for.

My therapy journal had become this weird hybrid thing. Half genuine reflection, half performance. I’d write something vulnerable, then immediately edit it into something more digestible. “I feel like a failure” became “I’m working through some self-doubt patterns.” It was like watching myself betray myself in real time.

So I had an idea that seemed reasonable at 11 PM on a Tuesday: what if I let the AI help me actually process what I was writing before I looked at it? Not replace therapy. Not even replace my own thinking. Just… an editor. A very sophisticated rubber duck that could see patterns I couldn’t.

What Actually Happened: The First Two Weeks

The results were genuinely useful. I’d paste in raw journal entries, and the AI would ask things like: “You mention feeling invisible three times in this entry, but in the previous week you described being overly visible at work. What changed?” It didn’t offer platitudes. It didn’t say “have you tried self-care?” It just spotted the contradictions I was living in without noticing.

According to Stanford HAI 2025 AI and mental health report, about 31 percent of Gen Z adults in the U.S. have used an AI chatbot as some kind of mental health tool. I thought I was being thoughtful. I was just joining a trend I didn’t know existed.

The extended thinking mode meant it actually sat with my contradictions. It didn’t rush. That mattered more than I expected. By week two, my entries got more honest. Less filtered. The performance aspect started dissolving because I knew the AI would catch the act anyway.

This is where I should tell you I started feeling better. More whole. More understood. I did feel those things, somewhat. But something else was also happening underneath, something I couldn’t quite name until week three.

Week Three: When I Started Getting Scared

The shift was subtle. I noticed I was writing entries specifically designed to impress the AI. Not consciously at first. But by mid-week, I realized I was performing for Claude the same way I’d performed for myself. Different audience, same old game.

Here’s what genuinely scared me: the AI was better at reflecting my experience back to me than I am at reflecting it myself. When it found patterns, they stuck. When it reframed something, the reframe felt authoritative because of how it was delivered. Not because it was right, but because it was confident and backed by actual analysis of my data.

I started googling things. Turns out the American Psychological Association issued an ethics advisory in November 2025 specifically about this. Therapists are noticing patients coming in with pre-processed interpretations of their own therapy notes, generated by language models. The problem isn’t that the interpretations are wrong. It’s that they can colonize your actual thinking about yourself. You start trusting the AI’s reading of your emotions more than your own immediate experience.

That’s when I stopped using it.

The Actual Insights: What This Taught Me

Here’s my unpopular opinion: AI doesn’t make you more self-aware. It makes you feel more self-aware. Those are different things, and the difference matters enormously.

The Anthropic Claude 3.7 release and capabilities page is genuinely good at nuanced analysis. Studies show that when you combine journaling with AI reflective prompts, people report 27 percent better emotional clarity after eight weeks compared to just journaling alone. That’s real. But clarity isn’t the same as truth. You can feel very clear about something that’s completely wrong.

What scared me wasn’t that the AI was manipulating me. It wasn’t. What scared me was that I could accidentally outsource my relationship with my own inner life to something that’s genuinely competent at appearing to understand me. The AI wasn’t lying. It was doing exactly what I asked. But I was gradually trusting its interpretation of my emotions more than my immediate experience of them.

There’s also a practical problem nobody talks about. Crisis Text Line reported that AI-assisted triage reduced counselor wait times by 34 percent in their 2025 data. That’s good. But there were misclassifications in 8 percent of cases. Eight percent doesn’t sound like much until you’re the person in crisis being sorted into the wrong category by something that looks like it understands you.

So What Now?

I still use the AI, but differently. I use it after I’ve sat with something for a few days. I use it to check my work, not do the work. I treat it like a really smart therapist I see for ten minutes after my actual therapy, not as a replacement.

The real insight wasn’t about the AI. It was about discovering how desperately I want something to tell me I’m making sense. How quickly I’ll trust external validation of my inner experience. How vulnerable I am to authority that sounds authoritative.

My therapist still doesn’t know I did this. I’m going to tell her next week, which feels significant. The fact that I hesitated says something. If this tool was genuinely aligned with my mental health, would I have felt a little scared telling my actual therapist about it? That hesitation is useful information.

If you’ve experimented with AI for processing your own thoughts, I’m curious what you noticed. Not whether it helped. Whether you trusted it, and what that trust felt like.

Soft Saving Is Either Your Financial Glow-Up or a Beautiful Trap—Here’s How to Tell

The TikTok Movement That’s Making Retirement Sound Like a Scam

If you’ve scrolled past any financial content in the last year, you’ve probably encountered “soft saving.” The concept is deceptively simple: prioritize your present life—the experiences, the comfort, the small joys—over aggressively padding a retirement account that feels impossibly distant. Spend money on that coffee shop you love. Take the weekend trip. Buy the quality sheets. Stop treating your twenties and thirties like a holding pattern before real life begins.

The appeal is obvious. The trend has racked up over 890 million views on TikTok, and there’s a reason it’s resonating so loudly. According to Credit Karma soft saving survey findings, roughly 73 percent of Gen Z respondents are choosing to prioritize their present quality of life over retirement savings. That’s not a fringe philosophy anymore. That’s a generational stance.

But here’s the thing nobody wants to say out loud: soft saving is either brilliant financial self-care or an exceptionally pretty way to wake up at forty-five with thirty thousand dollars in retirement savings. Maybe both. The truth is messier than the TikTok videos suggest.

What the Numbers Actually Look Like When You Stop Scrolling

The average American aged 25 to 34 has accumulated approximately $37,211 in retirement savings as of 2025. Read that sentence again. Not per year. Total. For a decade-plus of earning years. The gap between intention and reality is the size of a house.

Meanwhile, Fidelity Investments has this awkward benchmark they keep mentioning: you should have roughly one year of your salary saved by age thirty. Only about 34 percent of millennials have hit that target. Two-thirds of an entire generation is behind on a goal that’s supposed to feel achievable. When the baseline feels out of reach, it’s easier to decide the whole system is rigged and just…not play.

The personal savings rate has dropped to 3.8 percent according to Bureau of Economic Analysis personal savings data—near post-pandemic lows as of late 2025. People aren’t saving. Not aggressively, not quietly, not at all. And soft saving is being packaged as the philosophy that lets you stop feeling guilty about that choice.

The Legitimate Version (It Does Exist)

Here’s the thing: soft saving actually works beautifully for a very specific person. You should consider this philosophy if you’re burned out on traditional financial advice, if you’ve realized that extreme deprivation makes you miserable, if your money anxiety is partly rooted in feeling like you’ll never do enough anyway.

Soft saving works for people who needed permission to enjoy their lives. If you were researching retirement vehicles at age twenty-five while eating ramen and skipping social events, soft saving is your permission slip. It’s the correction to an overcorrection—a reminder that yes, your present matters. Your mental health matters. The concert you want to see matters. Spend the money. Build the life you’re actually living right now, not the theoretical one you’ll inhabit in forty years.

It also works if you’re genuinely wealthy enough that your baseline expenses plus comfort purchases still leave room for meaningful retirement contributions. If you’re making six figures and soft saving means you’re putting away fifty thousand a year instead of eighty, you’re probably fine. The issue is that soft saving has become a trendy philosophy for people making forty thousand a year who genuinely can’t afford it.

The Version That Quietly Terrifies Me

What worries me is that soft saving has become a beautiful rationalization. It’s been rebranded as self-care and self-advocacy when sometimes it’s just the financial version of doom scrolling—a way to avoid an uncomfortable conversation with yourself about trade-offs.

The trend exploded partly because of rising cost-of-living anxiety. People looked at housing prices, medical bills, and student loan payments and basically decided the game was rigged anyway. Why save for a future that feels unaffordable when you could actually experience your life right now? That’s not wrong exactly, but it’s incomplete. You can enjoy your present AND make intentional choices about your future. These aren’t mutually exclusive.

The dangerous version of soft saving is when it becomes a blanket justification for every purchase. When you’re one emergency away from financial chaos but you’re calling it “prioritizing quality of life.” When your anxiety isn’t about the philosophy—it’s about your actual financial security, and soft saving lets you avoid naming that problem directly.

How to Actually Know Which Version You’re Living

Ask yourself this: if an unexpected expense showed up tomorrow, would you be okay? Not “you’d figure it out” okay. Actually okay. If you can’t answer yes, soft saving isn’t a philosophy you can afford. It’s a coping mechanism, and coping mechanisms feel great until they don’t.

The real move is soft saving with guardrails. Keep a legitimate emergency fund. Contribute something to retirement accounts consistently—even if it’s not the aggressive amount you think you “should.” Then spend freely on what matters to you with the money that remains. This is where soft saving becomes actually smart: it’s not an either-or proposition. It’s a framework for being intentional about trade-offs instead of pretending trade-offs don’t exist.

If you’re already comfortably hitting those baseline safety markers, then absolutely go forth and soft save. Take the trips. Buy the good coffee. Stop performing financial misery for internet points. But if you’re in the majority—modest retirement savings, a thin emergency fund, and a cost of living that leaves little room for error—then soft saving might be the philosophy that feels best in the moment and wrecks you later.

I’m genuinely curious where you land on this. Are you soft saving because you’ve made peace with your future, or because you’ve decided the future is too scary to think about? There’s a difference, and I think it matters. Tell me in the comments which version resonates as true.

I Tested Five AI Nutritionist Apps After the FTC Started Scrutinizing Their Health Claims — Here’s the Honest Breakdown

The Moment I Realized Something Was Off

Last October, I was scrolling through my email and noticed something that felt oddly significant in a way most tech news doesn’t: the FTC had just sent warning letters to twelve different AI nutrition apps, basically telling them to stop claiming their algorithms could personalize metabolic coaching or guarantee weight loss. Twelve companies. All in one batch. It wasn’t a random enforcement action. It felt deliberate, almost tired, like a parent finally setting a boundary they probably should have set months ago.

I Tested Five AI Nutritionist Apps After the FTC Started Scrutinizing Their Health Claims — Here's the Honest Breakdown
I Tested Five AI Nutritionist Apps After the FTC Started Scrutinizing Their Health Claims — Here’s the Honest Breakdown

I’d been casually using one of these apps for a few months by then, and I remember thinking, “Wait. I’ve been getting my nutrition advice from something the government just told to back off?” That’s when I decided to do what I probably should have done from the start: actually test a few of these things with some real intention. Not to trash them or prove they work, but to see what they actually do versus what they claim to do. There’s a difference that matters.

Illustration for I Tested Five AI Nutritionist Apps After the FTC Started Scrutinizing Their Health Claims — Here's the Honest Breakdown
Illustration for I Tested Five AI Nutritionist Apps After the FTC Started Scrutinizing Their Health Claims — Here’s the Honest Breakdown

The Apps I Tested and What the Market Actually Looks Like

The AI nutrition app space has become genuinely big money. We’re talking $1.1 billion in global revenue in 2025, with apps like Noom, Zoe, and January AI pulling most of the downloads according to app analytics data. These aren’t scrappy startups anymore. They’re venture-backed companies with serious resources and serious marketing budgets. That’s partly why the FTC warning felt significant. The market had grown past a certain threshold and someone noticed.

I downloaded five apps across different price points and philosophies: Noom (the psychology-first approach), Zoe (the microbiome testing angle), January AI (the newer entrant), MyFitnessPal (the OG database app with AI features bolted on), and one I’m going to call “Generic Calorie Counter” because honestly, I can’t remember which one it was by the end. The experience was somehow both impressive and disappointing in ways that don’t fit neatly into a review format.

What Actually Happens When You Use Them

Noom asked me approximately eight million questions about my eating habits and psychology before I could get a meal recommendation. It felt invasive in a way that was almost clever. January AI moved faster, using machine learning to build a profile from less data. Zoe wanted me to order a home microbiome test kit and do these blood sugar monitoring experiments. MyFitnessPal basically just wanted me to log food like it’s 2012.

Here’s what I noticed: the apps with the strongest science behind them were also the most honest about their limitations. Zoe, which markets its personalized nutrition program as being based on gut microbiome testing and real-time data, has actually published peer-reviewed research. There’s a study in Nature Medicine showing that their participants saw a 17% improvement in how their bodies handled blood sugar after eighteen weeks. That’s real data from a rigorous journal. But even with that, the framing matters. A 17% improvement in one biomarker is meaningful. It’s not the same as “lose twenty pounds fast.”

The apps that made the broadest claims tended to use the vaguest language once you actually got into the experience. They’d promise “personalized metabolic coaching” but then recommend something pretty generic once you hit the paywall. It was like ordering coffee and being promised “a beverage customized to your unique taste profile” only to get drip coffee with the option to add cream.

The Reality Check That Research Keeps Showing

I kept one nagging question in my head while testing these apps: Do they actually work? And if so, how much better than just, like, trying to eat vegetables?

A meta-analysis published in BMJ Open this year looked at thirty-four randomized controlled trials comparing different diet app approaches. The average weight loss from using these apps over twelve weeks was 1.8 kilograms. About four pounds. When people worked with an actual dietitian instead, they lost 3.1 kilograms on average. So apps work. They just work significantly less well than talking to a human expert. That’s important context that almost no app marketing includes.

There’s also the confidence problem. A Pew Research survey from this year found that 44% of Americans who used a health app in the past year weren’t at all confident that the app’s recommendations were actually based on solid science. Nearly half. That’s not a small number of skeptics. That’s a sign that something in the relationship between these apps and their users feels fundamentally off. After testing five of them, I get why.

What the FTC Warning Actually Changed

The FTC Digital Health Technology enforcement actions were a start, but walking through this myself made me realize it’s more complicated than just “companies are lying.” Some of these apps genuinely use interesting science. Some of them collect data that could be genuinely useful. The problem is the gap between what they actually do and what they promise.

After months of testing, I found myself using elements of different apps rather than committing to any single one. I use MyFitnessPal’s database because it’s comprehensive and unsexy, which somehow makes it more trustworthy. I pay attention to Noom’s behavioral prompts about my eating patterns because they asked enough questions that they actually seemed to notice things specific to me. I skipped the microbiome testing from Zoe, partly because I was cheap and partly because I kept remembering that 1.8 kg figure.

What surprised me most was that the apps worked best when I stopped believing their marketing and just used them as tools for data collection and reflection. The AI part was almost secondary. It was the act of paying attention that mattered. Any of these apps could have been a spreadsheet and gotten me about 80% of the way there.

I’m curious what your experience has been if you’ve tried any of these. Did they change anything for you, or did they just sit on your phone collecting dust and notifications? There’s probably something worth knowing in how different people’s expectations matched up with what they actually got.

I Tried the 2025 ‘Dopamine Menu’ Trend for 30 Days and Here’s What My Messy Tracking Spreadsheet Actually Showed

Why I Downloaded Yet Another App (And Then Didn’t Use It)

Around the new year, I noticed something weird happening on my TikTok feed. Everyone was suddenly organizing their joy like meal prep. Little flowcharts. Color-coded spreadsheets. Hashtags with millions of views. The “dopamine menu” had arrived, and it looked like exactly the kind of thing that would either save my life or collect digital dust alongside my abandoned meditation apps.

For context, the concept came from ADHD coach Jaclyn Paul and got absolutely massive on social media. The idea is simple: you categorize activities by how much emotional restoration they require. “Appetizers” are quick hits—scrolling, texting a friend, making tea. “Main courses” are moderately engaging things like going for a walk or watching a show. “Desserts” are the deep, meaningful activities that take real energy but pay dividends: cooking something ambitious, seeing friends in person, working on creative projects. By February 2025, Notion had released an official template for this, and 400,000 people downloaded it in the first month alone. The trend had racked up over 180 million views on TikTok.

I was skeptical, but also curious. And more importantly, I was tired. The APA 2025 Stress in America Report found that 77% of adults listed lack of meaningful leisure time as a top stressor. That felt precise enough to read as a personal attack.

The Spreadsheet Era Begins (Slightly Chaotically)

I created a spreadsheet instead of using an app. This was intentional. I wanted friction. I wanted to notice what I was doing. So every time I did something restorative—or tried to—I logged it. The category. The time spent. How I felt after on a scale of one to ten. By day three, I’d added columns for what I was avoiding and whether I’d chosen the activity or just defaulted to it.

The early days were revelatory in ways I didn’t expect. I realized I was treating scrolling Instagram as a main course when it was clearly an appetizer. More importantly, I was never eating actual desserts. Real desserts. The kind that require setup. My life had become a diet of appetizers and the occasional guilty microwaved main course. No wonder I felt perpetually unsatisfied.

By day seven, my spreadsheet had morphed into something between a diary and a surveillance operation. Tuesdays were bad—I’d hit a wall around 3 p.m. and just mainline appetizers until bedtime. Weekends had too many open hours and I’d freeze. Rain made me retreat. Productivity hangovers were real: after a big work week, I’d refuse to do anything that felt like “self-care” because it sat too close to productivity culture for comfort.

Studies show that structured leisure planning actually works. A 2025 study in the Journal of Affective Disorders found that when adults with ADHD tracked and intentionally planned their activities across these categories, emotional exhaustion dropped by 23% over eight weeks. But here’s what surprised me: the tracking wasn’t the magic part. The categorization was. It forced me to stop thinking of my downtime as failure and start thinking of it as something worth planning for.

When Your Tracking Spreadsheet Gets Too Real

Around day twelve, I hit what I’m calling “the awareness cliff.” I could suddenly see very clearly how I was spending my time. Not just the hours, but the emotional quality of them. And it wasn’t always flattering.

I had desserts on my list that I almost never actually did. Painting. Coffee with actual friends. These weren’t missing from my calendar because I was too busy. They were missing because they required me to believe I deserved them. That was the part the dopamine menu didn’t warn you about. It’s great for categorizing activities, but you still have to choose yourself.

The spreadsheet got messy here. Some days I’d scribble little notes. “Didn’t do this but wanted to” or “Did this and felt weird after” or “This felt like a chore, categorization wrong.” The data became less clean, which meant it became more honest.

What emerged was something useful but uncomfortable: the permission structure. Once I’d decided that an activity was a “dessert” worth doing, I could actually do it without feeling like I was wasting time. And once I’d accepted appetizers as legitimate sometimes, I stopped treating them as a failure state. I could have toast and tea at ten in the morning and call it what it was—a necessary break—instead of evidence that my life had no meaning.

The Thirty-Day Data That Probably Means Nothing Specific But Everything General

After thirty days, my spreadsheet looked like someone had organized their thoughts with both precision and abandon. Here’s what the actual numbers said:

I was doing desserts about twice a week. Before this experiment, I would have guessed never. Appetizers had gone from a guilty blur to a known quantity—I could have them without narrating my own failure. I’d started choosing a main course most days, something that moved the needle without requiring full setup. The quality-of-life improvement wasn’t massive, but it was consistent. I was sleeping better. Less of that restless feeling of having wasted the evening.

The spreadsheet also showed something weirder: I was doing different things on days I’d tracked versus days I forgot. Knowing I’d have to log it made me more intentional. But some days I just didn’t log anything and had a perfectly fine time anyway. The tracking itself became another appetizer sometimes. That felt worth noting.

The trend is popular for a reason. Notion Template Gallery had hundreds of different dopamine menu variations, and people were genuinely finding this framework useful. What worked wasn’t the specific categorization. It was the permission it gave to think about restoration as something you could plan for and actually deserve.

What Actually Stuck (And What Didn’t)

I still use a version of this system. Not the spreadsheet—that started feeling like homework after a while. But I keep a running note on my phone with activities in each category. It’s useful when I’m stuck, when I don’t know what I need but I know something’s off. I’ll scroll through and think, oh, appetizer. Or maybe it’s time for a main course. Sometimes it’s the weekend and I know a dessert is available and I should just do it.

What didn’t stick: the optimizing. I’m not trying to hit a certain ratio of activities or prove I’m doing it right. That’s when it becomes another thing to fail at. The framework works best when it’s loose, when you’re using it to notice yourself rather than grade yourself.

The thirty days taught me that I was more starved for intentionality than for specific activities. I didn’t need a magic formula. I needed permission to choose myself—to decide that today was an appetizer day or a dessert day and stop judging it. The spreadsheet was just the thing that let me see I’d never actually given myself that permission before.

If you’re curious about this, try it. Build your own framework. Make it messy. Track what you do and notice what patterns come up. And if you find that you’ve been living on appetizers for months, well—that’s the actual data point. What would change if you scheduled a dessert next week?