Healthy AI First (English)

Björn
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We work with AI faster than ever. At least it feels that way. Across eight episodes, Healthy AI First tells what studies really say about productivity with AI, where the time we gain disappears, and how to work with coding agents and AI assistants without burning out. For developers and anyone who writes, analyzes and plans with AI at work. Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. You will find all studies and sources in the show notes of every episode.

Episodes

  1. 5d ago

    My AI Daily Briefing as a Spotify Podcast with Claude | Episode 9

    The first practice episode: I show you my AI daily briefing, which lands in my Spotify library as a private podcast every morning at six thirty. A local page collects my calendar, tasks and messages, Claude turns them into a text for the ear, and Studio by Spotify Labs (often searched as Spotify Studio Labs) voices it. Along the way: why an AI morning briefing for listening has to be written differently from one for reading, what went wrong when I voiced long texts, and how you can start small yourself. Chapters 00:00 Opening 01:01 Welcome 01:53 The Morning Before 02:48 One Page Instead of Ten Tabs 03:56 Rules Against Making Things Up 04:57 Five Thirty 06:02 Writing for the Ear 07:27 A word from us 08:19 Studio by Spotify Labs 09:10 Six Thirty 10:32 What Went Wrong 12:02 What It Brings 12:56 Try It Yourself 13:53 Closing All sources, studies and the companion document for this episode: https://clnwork.com/podcast/healthy-ai-first/en/episode-09 All data in the video (tasks, meetings, names) is made up; the setup is real. Healthy AI First is AI-researched and AI-generated, narrated in an AI version of my voice and reviewed by me (Björn). A quick word from us: CLN Work I'm one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/book More about the approach: https://clnwork.com

    My AI Daily Briefing as a Spotify Podcast with Claude | Episode 9

  2. Oct 19

    Episode 8: Measure Honestly, Try It Yourself (Series Finale)

    Miriam's department head wants a number by the end of the month: how much faster is the team with AI? Instead of one big shiny number, we follow Miriam, the team lead, with Daniel and Jonas for 4 weeks like a diary. Week one: only watching. Weeks two and three: one person works with the new rule, the other with the old one, and they swap after a week. Week four: looking at the results. They measure with a car dashboard of 3 gauges. Along the way, we meet Goodhart's law, a broken Thursday that a summary written by AI hides in the median, and a single page for the budget meeting. And one last time: your number. Chapters00:00 Opening01:04 Welcome01:54 The First Temptation03:08 The Dashboard04:09 Fuel Gauge and Warning Light05:37 Week One: Just Watching07:22 A word from us08:14 Switching Sides09:48 Week Two10:57 Week Three12:24 Week Four: The Smooth Summary13:50 One Page for the Budget Meeting15:29 What Nobody Knows Yet16:25 Your Number All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-08 Miriam, Daniel, Jonas and the department head are fictional. In episode 1, Daniel stood in for the participants of the METR study; from episode 2 on, he is a fictional colleague on Miriam's team and did not take part in the study. The course and results of Miriam's experiment (the hard week two, the broken Thursday, Daniel's understanding check) are made up too; they show one possible interpretation of a pilot, not measured or typical values. A real experiment may also show no improvement or a deterioration. Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 8: Measure Honestly, Try It Yourself (Series Finale)

  3. Oct 19

    Episode 7: A Workday with Energy Left at Night

    We rewind Jonas's Tuesday and tell it again: one single change, an appointment reminder with a daylight saving trap, from sizing up the task to exploring, a 4-line contract, Daniel's review and a careful rollout. Alongside it, Miriam's day with a calendar that is only half hers, and what of all this still works for juniors and people on call. The workflow is a proposal to try out, not a proven optimal work cycle. Chapters00:00 Opening00:56 Welcome01:37 The Image: a Mountain Hike02:32 Before You Set Out04:02 Miriam's Tuesday05:07 Exploring, and Sometimes a Map06:18 A word from us07:10 The Short Contract08:37 Letting It Run09:45 Cairns11:11 A Second Pair of Eyes12:40 The Whole Day14:08 Logging Off15:38 Energy at Night All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-07 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. Jonas, Daniel and Miriam are fictional characters. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 7: A Workday with Energy Left at Night

  4. Oct 19

    Episode 6: What a Green Test Proves

    An agent reports "all checks passed", and everything is green. This episode asks what each check really proves, why an agent can bend its own tests, and why a second AI model as reviewer can share the same blind spot. Also: how to protect test files from the agent, mutation testing for changed lines only, risk classes as a team agreement, the ironies of automation, and the explain-back check. Chapters00:00 Cold Open01:03 Welcome01:47 What a Check Mark Says02:45 Miriam's Proposal03:53 The Bent Test05:17 A Lock for the Tests06:31 A word from us07:23 A Cone in the Blind Spot08:56 The Second Mirror10:12 The Overeager Reviewer11:35 Where Humans Look13:20 Why Good Tools Lull Us to Sleep14:49 Keeping Judgment Awake16:43 Green That Means Something All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-06 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. Jonas, Daniel and Miriam are fictional characters. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 6: What a Green Test Proves

  5. Oct 19

    Episode 5: The Right Medium

    Miriam, the team lead, read a 12-page AI-written concept twice and still can't find the answer when Daniel asks in a meeting what happens if a payment notification arrives twice. This episode is about why a small diagram sometimes clarifies more than many pages of text, when duplicate explanations and voice help or hurt, and why explaining something to the AI yourself does more than just listening to it. With a rubber duck that asks back, a prompt to take away, and an experiment for developers and office work. Chapters00:00 Cold Open01:15 Welcome01:58 Ten Thousand Words03:12 Map, Directions, Stranger04:33 A Picture for Your Ears06:09 When Pictures Hurt07:23 A word from us08:15 Double and Spoken09:46 Rereading Feels Good11:01 The Rubber Duck12:15 A Duck That Asks Back13:44 Miriam's Second Try15:10 One Picture Instead of Twelve Pages16:09 Your Experiment All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-05 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. Miriam, Daniel and Jonas are fictional characters. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 5: The Right Medium

  6. Oct 19

    Episode 4: How Much Can Run at Once

    At 10:40 in the morning, 3 of Jonas's 4 agents reach for him at the same time, and a couple of rooms away, Miriam loses track of her own quarterly plan across 3 AI chats. This episode explains attention residue, takes apart the myth of the "23 minutes", and uses Little's Law to show why more agents with the same review capacity mostly mean longer waits. Plus a tool tip on separate git worktrees, a resumption point for every switch, and a suggestion to try out, for developers and for the office. Fictional characters: Jonas (junior developer), Daniel (senior developer), Miriam (team lead for Daniel and Jonas). The Little's Law calculation is an illustration, not a measurement. Chapters00:00 Cold Open01:24 Welcome02:05 The Juggler03:11 Miriam's Morning04:13 What Stays Behind05:27 The 23 Minutes06:53 A word from us07:44 Small Portions09:10 The Queue at the Pass10:42 How Many Balls12:16 Separate Working Copies13:53 The Resumption Point15:16 A Limit for the Team16:18 Until Next Time All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-04 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 4: How Much Can Run at Once

  7. Oct 19

    Episode 3: Before the First Prompt

    A ticket made of a single sentence, an agent that builds a clean account deletion feature in 20 minutes, and a question from Jonas that reveals what the agent quietly decided along the way. Meanwhile, the AI writes a delivery date into Miriam's client proposal that nobody ever committed to. This episode is about which decisions have to stay with people and which ones the agent can safely make: load-bearing walls, one-way doors, locks instead of notes in the prompt, a lost Mars probe, and how much planning is really needed. Fictional characters: Jonas (junior developer), Daniel (senior developer), Miriam (team lead for Daniel and Jonas). All studies and cases are real. Chapters00:00 Cold Open01:08 Welcome01:51 The List03:10 Miriam's Proposal04:17 Load-Bearing Walls05:52 One-Way Doors07:28 A word from us08:19 The Lock on the Door09:27 Locks in the Tool11:01 The Connection Next Door12:28 What Stays With Us13:40 What the Vendors Recommend15:33 Two Fields in the Ticket16:47 Your Load-Bearing Wall All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-03 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 3: Before the First Prompt

  8. Oct 19

    Episode 2: Where the Time Goes

    When AI writes the code, the work doesn't disappear. It moves: from writing to explaining, reviewing and fitting things together. This episode follows the trail of the time, shows why more code is a poor measure of success, and explains how a team can ship more every day and still make slower progress. Plus a tool tip on reading lead times from Git and GitHub. Fictional characters in this episode: Jonas (junior developer), Daniel (senior developer; in episode 1 a stand-in for the study participants, from now on part of the team), Miriam (team lead for Daniel and Jonas), Hanna (wedding photographer, this episode's image). Chapters00:00 Opening01:24 Welcome02:34 The Whole Journey03:59 Miriam's Status Report05:41 The Photographer06:56 A Sixth of the Day08:26 A word from us09:16 The Second Half of the Sentence11:00 The Pile Before the Bottleneck12:13 Almost Right13:26 The Clock in the Tools14:44 What Done Means16:25 Your Time, Split Up All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-02 Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 2: Where the Time Goes

  9. Oct 19

    Episode 1: It Feels Faster

    16 experienced developers expect AI to make them almost a quarter faster. Measured, they are slower, and afterward they still believe they were faster. The opening episode of Healthy AI First tells why our gut feeling is a poor measuring instrument when we work with AI, what other studies say against it, and where the series goes over the next 7 episodes. Chapters00:00 Opening00:57 Welcome01:44 Your Guess02:19 The Experiment03:32 The First Twist04:55 The Second Twist07:24 A word from us08:14 The Experiment Breaks Apart09:59 The Other Side11:27 Three Questions for Every Headline12:25 What It Costs14:21 The Journey of This Series15:53 Your Number All sources, studies and the companion document for this episode:https://clnwork.com/podcast/healthy-ai-first/en/episode-01 Daniel and the project manager are fictional characters used for illustration. Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. A quick word from us: CLN WorkBjörn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you. Book a free, no-obligation 30-minute conversation: https://clnwork.com/bookMore about the approach: https://clnwork.com

    Episode 1: It Feels Faster
  • 9 Episodes

About

We work with AI faster than ever. At least it feels that way. Across eight episodes, Healthy AI First tells what studies really say about productivity with AI, where the time we gain disappears, and how to work with coding agents and AI assistants without burning out. For developers and anyone who writes, analyzes and plans with AI at work. Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. You will find all studies and sources in the show notes of every episode.

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