@Mikocrypto11: Anthropic engineer's key point: 'You shouldn't always prompt Claude. You should build a system that prompts itself.' This might be the most worth-saving Claude workflow I've seen recently. In the video she breaks down...

X AI KOLs Timeline Tools

Summary

Anthropic engineer emphasizes that you should not just manually prompt Claude, but rather build a system that can prompt itself. The article breaks down common user issues: starting from scratch every time, not leveraging CLAUDE.md, plugins, and workflows, pointing out that this wastes most of Claude's capabilities.

Anthropic engineer, this sentence is key: “You shouldn't always prompt Claude. You should build a system that prompts itself.” This might be one of the most worth-saving Claude workflows I've seen recently. In the video, she breaks down a common problem many people are making: Having used Claude for months, but still starting from scratch every time New session Re-explain context Re-paste context Rewrite prompt Then close the tab, everything stops. She mentions several details: CLAUDE.md can take up 14% of capacity before you even type the first word 95% of users never installed plugins Workflows that can run without you manually entering prompts And why "sending one prompt and then closing the page" leaves 90% of the capability on the table. What’s really interesting: Claude’s value isn’t just answering your questions It’s whether you can embed it into a system Have it remember rules Read context Call plugins Run workflows Even continue advancing tasks without you entering the next prompt If you’ve used Claude for months but still start each session from scratch You still have at least 28 untouched features Maybe 30 Tonight, instead of binge-watching another episode, finish watching this video Bookmark it after watching
Original Article
View Cached Full Text

Cached at: 06/02/26, 03:42 PM

Anthropic engineer says it best:
“You shouldn’t be prompting Claude constantly. You should build a system that prompts itself.”

This might be the most worth-saving Claude workflow I’ve come across recently.

In the video, she breaks down the same problem many people are having:
You’ve been using Claude for months, but you still start from scratch every time.
Open a new session.
Re-explain the context.
Re-paste the background.
Re-write the prompt.
Then close the tab, and everything stops.

She dives into a few details:
CLAUDE.md can already eat up 14% of your context before you even type the first word.
95% of users never install any plugins.
Workflows that can run without you typing a single prompt.
And why “type a prompt then close the page” leaves 90% of Claude’s ability on the table.

What’s really interesting:
Claude’s true value isn’t just answering your questions —
it’s whether you can integrate it into a system.

Let it remember rules.
Read context.
Call plugins.
Run workflows.
Even keep moving tasks forward when you haven’t typed the next prompt.

If you’ve been using Claude for months but still start each session from scratch,
you still have at least 28 untouched features.
Maybe 30.

Tonight, instead of bingeing another episode, watch this video.
Then bookmark it.

Similar Articles

@vincemask: Many people don’t know when to use Hooks. My rule is simple: anything you find yourself repeatedly reminding Claude about should be taken out of the prompt and handed to a Hook. For example: 1. Formatting code after every edit 2. Running lint/tests before every commit 3. ...

X AI KOLs Timeline

This post explains when to use Hooks to codify repetitive rules in Claude AI programming assistance (such as auto-formatting, pre-commit checks, etc.), suggesting that stable, repetitive, and easily forgotten processes should be moved from the Prompt to be executed by default in the environment.

@VincentLogic: Anthropic’s talk had some solid insights. Previously, building Agents required manually implementing routing, retry mechanisms, and context compression. Now, the speaker points out that these 'scaffolding' features are already built into the model—stop reinventing the wheel. The most mind-blowing part was the final demo: letting Claude autonomously...

X AI KOLs Timeline

This article comments on Anthropic’s talk regarding Claude, noting that the model now includes built-in Agent scaffolding features such as routing and retries. It highlights a demo showcasing a smooth closed-loop workflow where Claude independently reproduces, fixes, and tests frontend bugs, marking a new era in Agent development.