Browse Comments — Clean (de-noised)

This is so much easier to digest. Thank you for not making me watch a talking head

The one thing I’d add: make people delete or rewrite their first Project prompt after a few days. The first version is usually aspirational. After 10 real tasks, you learn the weird stuff Claude keeps getting wrong: tone, assumptions, formatting, when to push back, when to ask. That second prompt is where it starts getting useful.

Feels like a solid ramp-up, the real test is whether it actually becomes part of your daily workflow or just another setup you forget after day 3.

This author, the 7-day checklist is a practical approach to getting started with Claude. Day 1’s focus on real work tasks rather than tests is crucial for building familiarity quickly. Have you seen any specific improvements in productivity from users who follow this method?

Ruben Hassid This 7-day checklist shifts from passive learning to active integration. Day 3 is key: creating .md files with voice samples and banned words externalizes negative constraints, an advanced pruning technique. Without it, the model can't distinguish noise from signal. Connectors and scheduled tasks transform Claude from chatbot to executor. Week one builds it, week two maintains it. Actionable system. Next step: weekly audit of which scheduled tasks still add value.

Day 6 is where it really shifts from tool to system. Once it starts running in the background, the leverage becomes obvious. Recently shared a post on how the real future of AI is reducing variability and improving consistency, not just automation. Would love your thoughts. Ruben Hassid

saved this immediately 😭 everyone watching 3 hour tutorials when this whole checklist fits on your phone is actually so real. day 3 teaching it your voice and banning words like "leverage" and "delve" is sending me but also genius no cap 🔥

This is a refreshingly practical way to build real AI leverage — not just watch tutorials and feel productive. What works here is the emphasis on real work, real files, real outcomes. Teaching the model your voice, connecting it to live systems, and setting scheduled tasks is exactly the shift from “chatbot” to daily operating layer. That’s where AI actually compounds. The 7-day framing also lowers the barrier: no overwhelm, no theory-first trap — just progressive capability building. By Day 7, it’s not an experiment anymore, it’s infrastructure. Sharp, execution-focused breakdown from Ruben Hassid. This is how people stop trying AI and start working with it.

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Day 3 is where most teams fail. They deploy AI without teaching it their workflow or voice, then wonder why it's useless in production.

Love this Ruben Hassid Just shows you that using the software for a specific task is a faster way to learn it than any course.

7 days tho? Really? I did all that in about 2 hours the first time I tried it.

Building your own system instead of fighting the native tool is just smarter.

Theresa Graf

AsDigiaxo I didn’t quite understand this

Justin, the simplicity of these seven days to get to know Claude is great. I remember when I was trying to learn softwares like GHL for example I became overwhelmed and ended up quitting. Simple and fun to use for the win.

Honest take: most AI video tools generate decent first drafts, but they fall apart when you need to iterate on a specific hook or scene. That's actually why I built GridVid — you can swap individual nodes without redoing the whole video. Curious what tools you've tested so far and what specifically isn't working for you.

Biggest mistake I see people make... they test Claude with fake work. Use it on real work from D1 or you'll never trust it enough to actually build something worth it

This is a pretty useful and achievable roadmap. Most people’s challenge is not knowing where to start and the key is to do something with intention of both an output and learning. One big mistake is see is giving up too early. Push through a little bit of the learning curve and your skillset will skyrocket.

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