The man who tried 200 to-do apps has some advice about AI

Platformer · collected 2026-08-18 · by Casey Newton
Read the original at Platformer ↗

Summary

The article reports on an interview with David Pierce, a tech journalist and author of a newsletter about productivity tools. He estimates that he has personally tried over 200 to-do apps and believes that AI's impact at work so far has been modest, mainly automating busywork tasks. According to Pierce, AI often struggles to make good judgments about what matters to individuals, as seen in his own experience with an AI tool incorrectly sorting emails. His advice for readers is to focus on doing meaningful work while offloading mundane tasks, rather than feeling pressured to keep up with the latest AI trends.
Written by the local model on 2026-08-18, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
280
claim-shaped sentences
Uncertain
4%
12 of 280 hedged
Leaning
not scored
needs a local LLM pass
Publisher trust
96.5
red-flag proxy, not a credibility rating
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-08-18 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

Casey Newton, host of the Platformer podcast, is exploring how AI affects jobs. To start this conversation, he talks to David Pierce, a tech productivity expert who has tried 200 different to-do apps in his search for effective tools. As someone who has seen their professional life get busier and busier, **Pierce's use of to-do apps has shifted from being just interesting to being necessary to stay a functioning person. Newton and Pierce will discuss which AI tools can help people keep up with work demands in the face of technological changes that may automate many jobs.

Written for “The Future of To Do Apps” on 2026-08-31, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 1124 · logged 2026-08-24

Story

📰 The Future of To Do Apps
Technology · 1 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

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Publisher

Platformer · 18 article(s) · 0 correction(s) detected
SignalValueWeight
Correction rate 0.000 0.4
Uncertainty density 0.070 0.25
Assertive mismatch rate 0.000 0.35
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Casey Newton
17 article(s) here · 1 carrying a prediction
🔮 Our first guest, Box CEO Aaron Levie, argued that mass disruption would be highly unlikely.
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2026-08-27 · assertive framing · Meta settles with the states over child safety failures
🔮 It’s an effort to capture the expertise of a single employee and distribute it more broadly throughout the enterprise — a preview, I think, of how more businesses will think about the relationship between AI and employees in the years to come.
🔮 It includes a free tier with a one-time bundle of credits that will let you build an app or two; after that you'll need a Pro subscription — $20 a month at launch — which refreshes with 200 credits monthly and lets you buy more if you run out.
2026-08-19 · assertive framing · Vibe coding has escaped the terminal
🔮 Lately, the only important question about a new large language model has been whether the Trump administration would allow anyone to use it.
2026-08-19 · assertive framing · OpenAI's big launch — and bigger departure
🔮 I call the idea an infohazard because, simply by becoming aware of it, I had ensured that I would devote the next several weeks to building it, without having any idea whether it would benefit me at all.
2026-08-19 · assertive framing · An LLM wiki changed how I work
🔮 Our Platformer podcast miniseries took the question to seven experts with a variety of perspectives, and the debate ended mostly in optimism — with most guests casting doubt on the idea of mass long-term unemployment, even as they acknowledged that AI will likely cause most jobs to change dramatically.
2026-08-18 · assertive framing · The loudest warning about AI and jobs yet
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Topics

Anthropic Protocol Wired the New York Times the Wall Street Journal

Subjects

David PERSON · 5× David Pierce PERSON · 2× Anthropic ORG · 1× David Pogue PERSON · 1× Protocol ORG · 1× The Verge ORG · 1× The Vergecast ORG · 1× Wired ORG · 1× the New York Times ORG · 1× the Wall Street Journal ORG · 1×

Narrative

Especially as my professional life has gotten busier, and my personal life has gotten busier next to my professional life, it has gone from a thing I do because I think it's interesting to a thing I do both because it's interesting and out of deep necessity to remain a person.
framing: assertive · carried by 1 article(s) · first seen 2026-08-18
🔮 Last season on the Platformer podcast, we explored what AI means for jobs — including the risk that huge numbers of them might soon go away.
2026-08-18 · Platformer
The man who tried 200 to-do apps has some advice about AI · assertive framing

Claims (280 extracted, 12 hedged)

This podcast touches on AI. asserted
podcast → touch → AI
My fiancé works at Anthropic. asserted
fiancé → work → Anthropic
Last season on the Platformer podcast, we explored what AI means for jobs — including the risk that huge numbers of them might soon go away. uncertain
numbers → explore → them
For our follow-up miniseries, I wanted to ask a more practical question: what can any of us actually do about it? asserted
any → want → it
Over the coming weeks, I'll be talking with people who can help us map which AI tools and strategies might help us keep your advantage at work — for now, at least. uncertain
us → come → work
I've known David for about as long as I've been a tech reporter, and over that time he has become the tech press's chief productivity correspondent. asserted
he → know → time
He worked with David Pogue at the New York Times, edited at Wired, wrote the personal technology column for the Wall Street Journal, and served as editorial director at Protocol before returning to The Verge. asserted
He → work → Verge
Today he is now editor-at-large, co-host of The Vergecast, and author of Installer, his weekly guide — and the most delightful newsletter I read each week — about what to download, watch, and try. asserted
I → read → what
More recently he has launched Version History, a show about the defining products from tech's past, from the hoverboard to Vine, and what they can teach us about its future. asserted
they → launch → future
Like me, David is a fiend for testing new productivity tools. asserted
David → test → tools
He estimates that he has personally installed, used, and abandoned some 200 to-do apps — a number limited, he told me, "by the number of them that exist — not by the number of them that I'm willing to try." asserted
I → estimate → that
(He had actually switched notes apps the day we recorded our conversation.) asserted
we → switch → conversation
All that tinkering has left him with a usefully unromantic view of the current moment. asserted
tinkering → leave → moment
"We're in a moment where everyone has decided that everything about how we do everything is about to change," he told me. asserted
he → decide → me
"But actually, none of it has changed yet." In David's telling, the returns on AI at work have so far been fairly modest. asserted
returns → change → work
It's really good at the busywork of daily life — converting a folder full of files, clearing a thousand marketing emails out of your inbox in 45 seconds, or finding you a plumber. asserted
It → convert → plumber
What it can't do consistently is exercise good judgment about what matters to you. asserted
what → exercise → you
When David set AI loose on his primary inbox, it "started getting almost everything wrong," he said — fooled by senders who make every message sound like a five-alarm fire, in what he suspects is the beginning of annoying new attention hack. asserted
he → set → hack
But what I found most refreshing in our conversation was his message to anyone who is feeling left behind by the AI era. asserted
who → find → era
"I think staying ahead is wildly overrated," he told me. asserted
he → think → me
"This idea that everyone is selling — that you have to either get on the AI train or get left behind — is pernicious and frankly wrong." asserted
you → sell → train
His advice is straightforward and narrow: offload the dumb tasks, keep doing the work that builds your understanding, and when the hype starts to feel overwhelming, find-and-replace the word "AI" with the word "software." asserted
hype → offload → word
"It's just software, and that's OK," he said. asserted
he → say → ?
But you should treat it like software." asserted
you → treat → software
A long excerpt of our conversation is below, edited for clarity and length. asserted
excerpt → edit → clarity
Listen to the entire conversation wherever you get your podcasts — just search for Platformer — or watch it on YouTube at youtube.com/caseynewton. asserted
you → listen → youtube.com/caseynewton
And let us know what you think — we welcome your feedback at casey@platformer.news. asserted
we → let → casey@platformer.news
David, most people try to minimize the number of new apps they install. asserted
they → try → apps
You go out of your way to find new ones. asserted
You → go → ones
Give us your sicko credentials up front: how many to-do apps do you think you've personally installed, used, and abandoned? asserted
you → give → apps
If you made me pick a number, it's probably somewhere in that range. asserted
it → make → range
And that's limited by the number of them that exist, not by the number of them that I'm willing to try. asserted
I → limit → that
If there were 400, you would have installed 400. asserted
you → be → 400
, the very first thing I downloaded in the App Store was Evernote, which tells you something about who I am as a person. asserted
I → download → person
Especially as my professional life has gotten busier, and my personal life has gotten busier next to my professional life, it has gone from a thing I do because I think it's interesting to a thing I do both because it's interesting and out of deep necessity to remain a person. asserted
it → get → necessity
We're in a moment where everyone has decided that everything about how we do everything is about to change. asserted
we → decide → everything
But actually, none of it has changed yet. asserted
none → change → it
So we're in this complete chaos phase of trying to figure out what the future of any of this stuff is before any of it has settled. asserted
any → try → it
Let's dive into the chaos a bit. asserted
's → let → chaos
You're infamous for a perpetual quest to find the best notes app. asserted
You → find → app
…and 240 more, not listed.
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