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Productivity · Newsletter · 🇺🇸 United States · via agentusecases.ai

Executive builds an "anti-system" task system

Hilary Gridley captures tasks with a tap on her iPhone and lets Claude organize them and learn her preferences.

Profession
Executive
Tools
Claude Code
Source
lennysnewsletter.com ↗
Country
🇺🇸 United States
Found via
agentusecases.ai (Alex Finn) ↗
Report date
no date
Verified on
October 25, 2026
Illustrative photo: Services/Technology sector

What they did

A back-tap shortcut on the iPhone captures tasks without switching apps. Claude organizes the reminders and learns her preferences by observing, with no complex setup.

How it went

She describes the system as light enough to use every day.

Good to know

The key is capturing without friction; organizing can be left to the AI.

The prompt

Here is my messy task list: [paste]. Group it by context (home, work, shopping, calls), flag the ones that take less than 5 minutes, and suggest what to do today with [hours] free.

Replace what is in [brackets]. Prompt written by us from the account, not a literal copy of the source. Do not paste other people’s personal data (privacy laws such as LGPD and GDPR apply).

Summary in our own words. Results as stated in the original account; we have not tested or audited them. Read the source ↗ Case found via agentusecases.ai (Alex Finn); text and prompt rewritten by us. Found a mistake?

Illustrative photo: Services/Technology sector01
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Illustrative photo: Telecom sector02
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Illustrative photo: Services/Technology sector03
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Product manager turns scattered notes into a priority list

Ron Forbes dumps meeting notes into a folder and Claude Code returns summaries and tasks sorted by priority.

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Illustrative photo: Tourism sector04
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The agent called the restaurant when the online booking failed

Nick Larkins asked for a dinner reservation; with the site fully booked, OpenClaw built a calling app and phoned.

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Illustrative photo: Services/Technology sector05
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When your AI limit runs out in the middle of the day

A dev running four subagents across four repositories ran out of tokens and reflected on their dependence on AI.

DeveloperClaude CodeGemini
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Illustrative photo: Services/Technology sector06
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Estimating how long your AI plan will last before it runs out

A dev published an open calculation to estimate how many tokens fit into the Pro/Max plans.

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Illustrative photo: Tourism sector07
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A table at a hard-to-book restaurant without refreshing the website

The user asked the concierge to watch for an opening at Don Angie; the agent booked it as soon as one appeared.

ConsumerOdessia
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Illustrative photo: Services/Technology sector08
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Daily newsletters become a podcast at 5 a.m.

The agent reads the newsletters under a label, skips the weak ones, summarizes the rest and generates audio with a local voice.

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