惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

C
Check Point Blog
J
Java Code Geeks
H
Hackread – Cybersecurity News, Data Breaches, AI and More
D
Docker
腾讯CDC
The GitHub Blog
The GitHub Blog
大猫的无限游戏
大猫的无限游戏
Microsoft Security Blog
Microsoft Security Blog
GbyAI
GbyAI
Stack Overflow Blog
Stack Overflow Blog
博客园 - 司徒正美
T
The Blog of Author Tim Ferriss
Vercel News
Vercel News
P
Proofpoint News Feed
雷峰网
雷峰网
博客园_首页
B
Blog RSS Feed
Microsoft Azure Blog
Microsoft Azure Blog
爱范儿
爱范儿
V
V2EX
F
Fortinet All Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
MyScale Blog
MyScale Blog
S
SegmentFault 最新的问题

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
The Day I Stopped Using AI… and Started Delegating to It
Arnav Gawade · 2026-04-25 · via DEV Community

For the longest time, I genuinely thought I was using AI the “proper” way.
Open ChatGPT.
Ask something.
Get an answer.
Close it.

That was it. That was the entire relationship.

And to be fair… it helped a lot.

Homework, explanations, ideas, quick doubts — it was always useful when I needed it.

But slowly, I started noticing something I didn’t really think about before.

It only works when I remember to use it.

If I don’t open it, nothing happens.
If I forget, it just disappears from my day completely.
If I’m tired or distracted, it’s like it doesn’t even exist.

And that’s when it started feeling a bit… limited.

Not bad. Just dependent on me doing everything.

Then I tried OpenClaw.

And honestly, it felt weird at first.

Because it wasn’t just sitting there waiting for me to type something.

It was… active in a different way.

The first time it sent me something on its own, I actually stopped for a second.

It wasn’t anything dramatic — just a small update I had set earlier.

But the strange part wasn’t what it sent.

It was the fact that:

I didn’t ask for it in that moment.

It just showed up. Quietly. Naturally.

And that small moment kind of changed how I looked at it.

That’s when it clicked for me.

This doesn’t feel like ChatGPT.

This feels more like something that’s just there in the background, doing things without me constantly pulling it into the picture.

I wasn’t opening it every time.
I wasn’t reminding myself every hour.
I wasn’t “using” it in the traditional sense.

Things were just… happening.

Reminders I would’ve forgotten.
Follow-ups I would’ve delayed.
Small tasks that usually slip through.

Not perfectly. Not magically. Not like it’s reading my mind.

But still enough to make me go:

“Wait… I didn’t even think about that.”

What surprised me the most wasn’t any feature.

It wasn’t the interface or the setup or anything technical.

It was the feeling.

With most AI tools, there’s always a tiny bit of effort involved.

You think → you open → you ask → you wait.

You’re always the one pushing the interaction forward.

But this felt different.

This felt like something was quietly reducing the number of things I need to remember.

Not doing everything for me.

Just… lightening the mental load a bit.

I’m not saying it replaces anything.

And honestly, setting it up wasn’t instant — it took some time and effort to get it running properly.

But once it was in place, something changed.

I stopped thinking about it all the time.

And maybe that’s exactly what made it different.

I still use ChatGPT. I still use other tools too.

But now they feel like something I go to when I need them.

This feels more like something that just stays in the background of my life.

Quiet. Passive. Running.

I don’t even know if this is the future of AI or just a different way of using it.

But I do know one thing now:

The moment something starts working without you needing to ask it every single time…

…it stops feeling like just a tool.