> ## Content Index > Fetch the complete content index at: https://thesustainableproductivity.com/llms.txt > Use this file to discover other available public pages before exploring further. # The April Experiment: What I Learned Going Slower in an AI World Telling Me to Speed Up - URL: https://thesustainableproductivity.com/april-experiment/ - Published: 2026-04-30T07:40:00.000Z - Updated: 2026-04-29T23:42:01.000Z - Description: The April Experiment is a 30‑day slow productivity lab in the middle of an AI boom that keeps telling us to move faster. Instead of adding more tools, I cut my AI stack from eleven to three, rebuilt my weeks around deep work, and used the F.A.K.E. Framework to delete the “AI made it easy” - Author: Erick Stoic - Tags: AI, Energy Management, Essentialism, Good Habits, Minimalism, Personal Development, Planning Effectively, Work, burnout, capacity, deep work, focus, habits, intention, management, performance, plan, planning, productivity, self-awareness, stoic, stoicism, sustainable productivity, time management, #Import 2026-09-05 15:50 Spent April asking one question I couldn’t shake. **Am I using AI, or is AI using me?** It started in late March. I caught myself opening Perplexity/Gemini/Claude before I’d even finished my coffee. Three tabs. Two prompts already running. A to-do list that had quietly tripled in size since I “got efficient”. That’s when I made a decision that felt almost rebellious in the current climate: I was going to spend April running a deliberate **slow productivity** experiment. Less velocity. More intentionality. Fewer AI tools. Deeper output. What follows is the honest reflection. The data, the discomfort, and the framework that earned a permanent seat at my table. ![A person standing at a threshold: behind them, scattered screens and spinning AI gears; ahead, a calm river in golden light.](https://storage.ghost.io/c/92/67/92671ee7-b998-4c26-8c42-d4dac7a48909/content/images/2026/04/two-worlds-chaos-x-flow.webp) ## TL;DR / Key Takeaways - **Slow productivity isn’t anti-AI.** It’s anti-speed-as-a-strategy. AI Velocity is a drug; slow productivity is the antidote. - **The 4-week arc:** Easter Reset → AI Brain Fry diagnosis → F.A.K.E. filter → Flow-First system. - **The honest data:** about 30% fewer tasks completed. 100% of the ones that actually mattered. Content quality and engagement both improved. - **What earned permanent residency:** the F.A.K.E. Framework, a 3-tool AI stack, and the four TSP Core Values. --- ## What does “slow productivity” actually mean in 2026? **Slow productivity is the deliberate practice of doing fewer things, working at a natural pace, and obsessing over quality, even when AI makes it possible to do more, faster, all the time.** Cal Newport coined the term. The 2026 AI boom turned it from a nice idea into a survival skill. Here’s why the timing matters. Harvard Business Review published research in February 2026 that put a label on what most knowledge workers were already feeling in their bones: AI doesn’t reduce work. It intensifies it. [1](#accccb2f-1aca-45ff-9103-a2e8a96a7b01) A UC Berkeley team spent eight months embedded in a 200-person tech firm and found that AI tools increased the variety and volume of work employees took on, blurred the line between work and rest, and ultimately drove burnout. [2](#f79e1a34-ccde-4794-86f3-be4b6c16b9b4) One worker put it perfectly: you don’t end up working less, you end up working the same amount or more. 2 Then BCG dropped the term that stuck. **AI Brain Fry.** In a survey of 1,488 full-time U.S. workers, productivity improved when people used three or fewer AI tools, but plummeted at four or more. [3](#bf782df2-6f4b-47c1-b2c7-fdc7ef2a4ef3) Among workers reporting AI Brain Fry, 34% showed active intent to quit. 3 I was running eleven tools at once. --- ## Why I ran this slow productivity experiment in April **Because I had become the case study.** I had every symptom the researchers were describing: workload creep, constant tool-supervision, blurred boundaries, and the creeping feeling that I was busier than ever while shipping work I wasn’t proud of. The trigger was personal. By late March, my to-do list had become a graveyard of “AI made it easy” tasks. Optimized reports nobody would read. Promptly summarized meetings that should have been cancelled. AI-drafted messages that should have been a 10-second phone call. So April became the lab. --- ## The 4-week slow productivity arc **The experiment broke into four weekly stages, each one peeling back a different layer of AI velocity culture.** Here’s how it played out. - **Week 1: The Easter Reset.** I started with a forced pause over the long weekend. No inbox. No prompting. No “just one quick thing”. The point wasn’t rest as a reward for output. The point was rest as the foundation for it. The Stoic reminder that **presence is the only thing AI can’t automate.** - **Week 2: The AI Brain Fry Diagnosis.** This was the hard week. I sat with the data, then turned the lens on myself. I mapped my AI stack, my actual usage, and the workload creep that came with it. Phase 1 (task expansion), Phase 2 (workload creep), Phase 3 (cognitive drain from constant supervision), Phase 4 (invisible burnout). I had quietly walked through all four. - **Week 3: Essentialism as antidote.** Greg McKeown’s principle, the disciplined pursuit of less, applied to my AI stack. I ran every recurring task through the **F.A.K.E. Framework** before letting AI touch it. Tasks that failed two filters got deleted, not automated. - **Week 4: Flow-First.** I rebuilt the work week around protected deep work blocks. Two hours of pure focus. AI moved from being the engine to being the amplifier of work I’d already thought through. ![Four weeks laid out as stepping stones across a pond, each glowing brighter than the last, while AI tool icons fade at the edges.](https://storage.ghost.io/c/92/67/92671ee7-b998-4c26-8c42-d4dac7a48909/content/images/2026/04/stepping-stones-across-a-pond.webp) --- ## The honest data: what actually changed **Here’s the brief, no-spin version.** I tracked everything because I didn’t trust my own narrative/bias. | Metric | Before | After | | -------------------------------------- | --------------- | ------------------------------ | | AI tools in active use | 11 | 3 | | Tasks completed per week | Baseline (high) | About 30% lower | | Tasks completed per week | 25 | 15 | | Tasks that genuinely mattered | 5 | 100% of completed | | LinkedIn engagement | Inconsistent | Improved (fewer, deeper posts) | | Blog article quality (reader feedback) | Mixed | Significantly better | | Hours of true deep work per week | Less than 4 | About 10 | ![Blog metrics for the last twelve months.](https://storage.ghost.io/c/92/67/92671ee7-b998-4c26-8c42-d4dac7a48909/content/images/2026/04/20260429-blog-metrics.webp) Blog metrics, last 12 months. The first week felt wrong. Like falling behind. By week two, my content quality went up, not because I worked harder, but because **I thought longer before executing.** That gap, the one between thought and execution, is exactly what AI velocity collapses. Slow productivity rebuilds it. The findings echo Newport’s thesis almost word for word: do fewer things, work at a natural pace, obsess over quality, and the work gets better. [4](#7e1cb787-efb8-4f99-a775-97bfe5783144) It also matches what BCG found at scale: the workers using fewer tools weren’t falling behind, they were outperforming. 3 --- ## The 4 TSP Core Values, road-tested in April The TSP Method rests on four core values. April was the stress test. Here’s how each one showed up. ![The four TSP core values drawn as a repeating cycle: study in small batches, experiment, reflect and adapt, and take care of your health.](https://storage.ghost.io/c/92/67/92671ee7-b998-4c26-8c42-d4dac7a48909/content/images/2026/04/TSP-Cycle-4-Core-Values.webp) 1. **Study in Small Batches.** “I know that I know nothing”. Instead of bingeing on AI productivity content, I picked one research paper/class/YouTube video a week and sat with it. 2. **Scientific Experimentation.** Treat best practices as hypotheses, not gospel. The “morning AI sprint” everyone preached? Tested it. Failed for me. The “deep work block before noon”? Tested it. Now permanent. 3. **Reflect and Adapt.** Improvise. Adapt. Overcome. Week 2 was a mess. I almost quit the experiment. I reflected, kept what worked (the AI audit), dropped what didn’t (a rigid daily template), and kept moving. 4. **Take care of your health.** This is the core of the core. Sleep, food, movement, real conversations with humans. AI Brain Fry is partly a cognitive issue and partly a body issue. You cannot out-prompt a sleep deficit. --- ## How the F.A.K.E. filter works in practice **F.A.K.E. is the four-question filter you run before letting AI touch a task.** I created it because the question every other framework was asking, “how do I do this with AI?”, was wrong. The right question is: **should I do this at all?** - **F (Focus):** Does this move my number-one priority this week? - **A (Alignment):** Does this serve my North Star and my Values/Identity? Or, someone else’s urgency? - **K (Knowledge):** Can I evaluate the quality of the output? - **E (Energy):** Do I have the right energy state for this right now? Can I reschedule for another time/day? > **Fail two of those and the task gets deleted, delegated, or deferred.** > **Not automated.** That single rule killed about a third of my weekly load and made the remaining two-thirds significantly better. --- ## What I’m taking into May (the Flow Management series) **May goes deeper into Flow Management.** How to design a work week around your peak energy windows, how to use AI inside your flow state instead of as a substitute for it, and how to build a weekly rhythm that protects depth without sacrificing output. If April was the diagnosis, May is the prescription. What I’m leaving in April: the anxiety that slowing down means falling behind. The reflex to add a new AI tool before mastering the existing ones. The habit of using “AI made it easy” as justification for unnecessary things. What I’m taking into May: the F.A.K.E. filter, the 3-tool stack, the protected deep work block, and the slow productivity bet. So far, every metric says the bet is paying off. --- ## FAQ **What is slow productivity in the AI era?** Slow productivity in the AI era means using AI to deepen your work, not accelerate it. The principles, do fewer things, work at a natural pace, and obsess over quality, become survival skills when AI makes infinite expansion possible. **Is AI Brain Fry a real condition?** It’s a real, research-backed phenomenon. BCG’s 2026 study of 1,488 workers found that productivity dropped sharply when people juggled four or more AI tools, with 34% of those affected showing active intent to leave their jobs. 3 **How many AI tools should I use?** Research suggests three or fewer for most knowledge workers. 3 The exact number matters less than the filter. If a tool doesn’t earn its place against the F.A.K.E. criteria, it doesn’t stay. **Does going slower actually mean producing less?** No. In my April experiment, total tasks dropped about 30%, but the tasks that genuinely mattered stayed at 100%, and quality measurably improved. Newport’s research and BCG’s findings both confirm this pattern at scale. 34 --- ## Recommended Reading If this resonated, the foundational piece is [**The F.A.K.E. Framework: A Human Alternative to SMART Goals for 2026**](https://thesustainableproductivity.com/the-f-a-k-e-framework-a-human-alternative-to-smart-goals-for-2026/). Read that next. You might also like **AI Brain Fry: Why the People Using AI the Most Are the Most Burned Out** and **The 3-Tool Rule: How I Reduced My AI Stack and Doubled My Focus** on the [TSP blog](https://thesustainableproductivity.com/blog/). --- ## Your turn (free resource + community) I built a free ‘AI Stack Audit Checklist.pdf‘ you can use to audit your AI stack and weekly task list in about 10 minutes. Grab it below, no email gymnastics required. [AI Stack Audit Checklist.pdfDownload](https://storage.ghost.io/c/92/67/92671ee7-b998-4c26-8c42-d4dac7a48909/content/images/2026/04/AI-Stack-Audit-Checklist.pdf?ref=thesustainableproductivity.com) If you want the full system I used to run the April experiment, including the weekly Flow template, the AI audit worksheet, and the Core Values practice guide, that’s all inside the [**Productivity Nirvana Community and Online Course**](https://thesustainableproductivity.com/). Start with the free checklist first. Build the habit. Then come find us when you want to go deeper. **Sign up my Newsletter/Blog and connect-follow me on** [**LinkedIn**](https://www.linkedin.com/in/erickstoic/?ref=thesustainableproductivity.com) **for the May Flow Management series.** 🔖 Save this article. Share it with the colleague you suspect is currently being eaten by their AI stack. They’ll thank you. ❤️ --- > *This article is a co-creation of me (*[*Erick Stoic*](https://www.linkedin.com/in/erickstoic/?ref=thesustainableproductivity.com)*) with Claude (Anthropic) and Nano Banana 🍌.* --- ## References & Further Reading 1. *AI Doesn’t Reduce Work, It Intensifies It.* Harvard Business Review, February 2026\. [https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it](https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it?ref=thesustainableproductivity.com)[↩︎](#accccb2f-1aca-45ff-9103-a2e8a96a7b01-link) 2. *In the workforce, AI is having the opposite effect it was supposed to, UC Berkeley researchers warn.* Fortune, February 2026\. [https://fortune.com/2026/02/10/ai-future-of-work-white-collar-employees-technology-productivity-burnout-research-uc-berkeley/](https://fortune.com/2026/02/10/ai-future-of-work-white-collar-employees-technology-productivity-burnout-research-uc-berkeley/?ref=thesustainableproductivity.com)[↩︎](#f79e1a34-ccde-4794-86f3-be4b6c16b9b4-link) 3. *‘AI brain fry’ is real and it’s making workers more exhausted, not more productive, new study finds.* Fortune, March 2026\. [https://fortune.com/2026/03/10/ai-brain-fry-workplace-productivity-bcg-study/](https://fortune.com/2026/03/10/ai-brain-fry-workplace-productivity-bcg-study/?ref=thesustainableproductivity.com)[↩︎](#bf782df2-6f4b-47c1-b2c7-fdc7ef2a4ef3-link) 4. Newport, Cal. *Slow Productivity: The Lost Art of Accomplishment Without Burnout.* Penguin, 2024\. [https://calnewport.com/my-new-book-slow-productivity/](https://calnewport.com/my-new-book-slow-productivity/?ref=thesustainableproductivity.com)[↩︎](#7e1cb787-efb8-4f99-a775-97bfe5783144-link) 1. *The first signs of burnout are coming from the people who embrace AI the most.* TechCrunch, February 2026\. [https://techcrunch.com/2026/02/09/the-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most/](https://techcrunch.com/2026/02/09/the-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most/?ref=thesustainableproductivity.com) 2. McKeown, Greg. [*Essentialism: The Disciplined Pursuit of Less*](https://gregmckeown.com/books/essentialism/?ref=thesustainableproductivity.com)*.* Crown, 2014.