u/motivational_speech1

https://preview.redd.it/0anvze4f4j2h1.png?width=1024&format=png&auto=webp&s=d425dfc057a4aae445461e5221954b940a724024

For a while now, I have been learning Vibe Coding by creating plugins for WordPress , Chrome Extensions, and others. Thank God, all of them have been useful to me, but my inclination and passion has always been blogging, and Pinterest has been my companion for getting traffic.

So I said why not make a more practical tool that would be useful to bloggers, so I made several copies over the past months, but perfectionism was preventing me from bringing the project to light, until I decided that this time would be the last, and in order to avoid perfectionism, I decided to build it in public.

My first post on Reddit about my project has ended, and I will try to provide you with updates every two or three days.

Currently, I have built about 90% of the extension, and not much remains to be launched, but I will add many features later.

Perhaps some will ask: Have you made sure that the tool will be useful or needed?

I can say yes because I am the first customer and user of the tool because it will actually save me time and effort and bring together everything I need as a blogger and Pinterest user in one place.

Before I begin, I forgot to tell you that the tool is currently intended for bloggers in the cooking niche (my niche) and recipes, and in the upcoming updates, I will transform it to include all or most of the niches.

Without further ado, these are the most important features of the Chrome extension:

• - Search tool: You can search for target words and know the monthly search volume on them.
• - Writing articles: You can write amazing articles individually or several articles together. You can create custom images for Pinterest.
• - Pinterest: You can create Pinterest-specific images for one or more articles and you can download them directly (title, description, images)
• - Amazon products: If you are a beginner or a new blogger, you can earn from the first day of blogging by adding Amazon products to market in exchange for a commission. Just search for the product, locate where it appears, and list it.
• - Inserting WordPress: Through it, you can link your blog directly to the extension, and from it you can publish articles on your blog without copying and pasting, and you will find within it even Amazon products that you added in the extension.

The beautiful thing about the whole thing is that the tool has many details that I did not Mention, which is what makes it truly special.

The most beautiful thing is that the extension works with your API and you can choose from 3 service providers, and this is what makes you the winner and you will only pay for what you will use and consume?

Finally, I hope you will not be stingy with your advice and guidance

Do you find that the tool is really useful or not?

disclaimer: 99% of this post is translated because i am not english native, but its 0% Ai so please no one comment: Ai slot ....

If you use Claude for writing blog posts, stop asking it:

“Write me an article about X.”

Instead, use this structure:

---

You are a senior SEO editor and WordPress content formatter.

TASK:

Write a complete article about: [TOPIC]

RULES:

- Use short paragraphs (2-3 lines max)

- Add H2 and H3 headings

- Add a hook in the first 2 sentences

- Add a “Key Takeaways” section

- Add FAQ schema section

- Add internal link suggestions

- Add image placement suggestions

- Format everything in clean WordPress Gutenberg style

- Avoid AI-sounding phrases

- Write with human rhythm and sentence variation

- End with a strong CTA

Before writing:

1. Build a content outline first

2. Check if any section feels repetitive

3. Improve weak transitions

4. Then generate the final article

---

The crazy part?

The “Gutenberg style formatting” line alone massively improves readability when pasting into WordPress.

And adding:

“avoid AI-sounding phrases”

removes a LOT of robotic fluff instantly.

Most people use Claude like a chatbot.

It works much better when you treat it like:

- an editor

- formatter

- SEO strategist

- UX writer

…all at the same time.

Most people use Claude like a smarter ChatGPT.

But Claude has a hidden “self-debugging” trick that changes everything for long prompts.

Instead of asking Claude to answer directly, make it create an INTERNAL RUBRIC first.

Paste this:

---

Before answering:

1. Create a hidden checklist of what makes an excellent answer.

2. Rate your own response from 1-10 before sending.

3. Improve weak sections automatically.

4. Only output the final improved version.

5. Never mention the checklist or self-rating.

Now answer this:

[YOUR PROMPT]

Why this works:

Claude is insanely good at self-critique, but most people never trigger it.

You’re basically forcing:

- planning

- evaluation

- refinement

- second-pass reasoning

…without needing multiple chats.

I tested this for:

- coding

- copywriting

- research

- startup ideas

- agent prompts

The output quality jumps HARD.

Bonus trick:

Add this line at the end:

“Think like a senior reviewer rejecting weak work.”

Claude suddenly becomes way less generic.

Most prompt engineering is just:

“ask better questions.”

Real prompting is:

“force better thinking loops.”

I never thought selling PDFs would change my life, but here I am, a little over a year later, having made over $20K on Gumroad. It honestly all started as a side hustle

 I was working a 9 to 5 and just wanted some extra cash to pay off student loans. I started by creating a simple guide on productivity techniques I’d honed over the years. I figured, Why not?

To my surprise, the first month I launched it, I made $500. It was a modest start, but it lit a fire in me. I went on to create a series of other PDFs, including budget planners, meal prep guides, and even a short eBook on mindfulness. 

I learned a lot about marketing and focusing on niche audiences.

Here are a few things I picked up along the way:

• Identify your niche: It’s essential. I began with what I knew and expanded from there.
• Promote on social media: I started small, just sharing with my friends. But when I built an Instagram, everything changed.
• Quality matters: I invested some time in design making my PDFs visually appealing definitely helped in boosting sales.

By the time I quit my day job, I was making an average of $1,500 a month from sales, which gave me the confidence to dive in full-time.

I won’t lie; it’s not easy all the time, but seeing regular income from something I created feels surreal.

Have any of you tried selling digital products? Or do you think it’s unrealistic to make that much from simple PDFs?

Would love to hear your thoughts

I’ve been delving into Pinterest marketing for the past year, and let me tell you, there’s a surprising reason why about 80% of marketers fall flat on their faces.

After spending countless hours researching, testing, and failing, I figured out that many of us are simply overlooking the importance of niche focus.

When I first started, I was all over the place. I wanted to pin everything from home décor to recipes, thinking I’d attract a wider audience.

But it turns out, trying to appeal to everyone means appealing to no one. 

What I should have done was hone in on a specific niche right from the start.

Here are a few takeaways from my experience that might help others avoid the common pitfalls:

• Identify Your Niche: Pick something you're genuinely passionate about. It could be DIY crafts or eco-friendly living. Stick to it!

• Create Consistent Content: I learned the hard way that sporadic pinning won’t cut it. I started scheduling in advance this helps with visibility.

• Engage with Your Audience: Take the time to reply to comments or engage with others in your niche. Building relationships boosts your credibility and reach.

• Learn from Analytics: After a few months, I finally began digging into Pinterest Analytics. Seeing what worked and what didn’t made a huge difference.

Even in this age of information overload, staying focused has led to a dramatic shift for my account’s growth.

I guess I’m curious what’s your experience with Pinterest marketing?

Do you think niche focus is as crucial as I’ve found it to be?

I’ve been delving into Pinterest marketing for the past year, and let me tell you, there’s a surprising reason why about 80% of marketers fall flat on their faces.

After spending countless hours researching, testing, and failing, I figured out that many of us are simply overlooking the importance of niche focus.

When I first started, I was all over the place. I wanted to pin everything from home décor to recipes, thinking I’d attract a wider audience. But it turns out, trying to appeal to everyone means appealing to no one. 

What I should have done was hone in on a specific niche right from the start.

Here are a few takeaways from my experience that might help others avoid the common pitfalls:

• Identify Your Niche: Pick something you're genuinely passionate about. It could be DIY crafts or eco-friendly living. Stick to it!

• Create Consistent Content: I learned the hard way that sporadic pinning won’t cut it. I started scheduling in advance this helps with visibility.

• Engage with Your Audience: Take the time to reply to comments or engage with others in your niche. Building relationships boosts your credibility and reach.

• Learn from Analytics: After a few months, I finally began digging into Pinterest Analytics. Seeing what worked and what didn’t made a huge difference.

Even in this age of information overload, staying focused has led to a dramatic shift for my account’s growth.

I guess I’m curious what’s your experience with Pinterest marketing?

Do you think niche focus is as crucial as I’ve found it to be?

I’ve been blogging and pinning on Pinterest for a couple of years now, and I’ve seen so many bloggers trip over the same mistakes that really cost them traffic. Looking back, I made a few of these blunders myself, and I wish someone had told me sooner what not to do. Here are some common pitfalls, along with a couple of things I learned on the way.

First off, not optimizing pins for the Pinterest algorithm is a biggie. You know, putting in that extra bit of effort for keywords and descriptions can make a world of difference. When I finally started using relevant keywords, my impressions skyrocketed by almost 200% within a month!

Another area where people stumble is underestimating the power of tailored graphics. I used to throw together whatever image I thought looked good, but I learned that using a consistent brand style with clear, attention-grabbing text can actually boost clicks. Invest in good design—trust me, it pays off. A few months after revamping my graphics, my click-through rate improved significantly.

Lastly, I can’t stress enough the importance of consistent pinning. Posting sporadically just won’t cut it. I’ve found that scheduling pins regularly, maybe about 5-10 pins a day, helps keep my content in the mix.

So, here are the main takeaways for fellow bloggers:

• Optimize for the algorithm with keywords.

• Invest time in creating eye-catching graphics.

• Stick to a consistent pinning schedule for maximum visibility.What do you think is the biggest mistake bloggers make on Pinterest? Drop your experiences below!

Hey

I was searching on reddit to validate my idea, but i ended building another chrome extention 😁 and i think its better than the first one.

My question is what is the best way to make my first 10k $ fast with chrome extension , the monthly subscription or lifetime deal.

I know that monthly subscription is passive income and better, but as i said my goal is 10k $ asap so i want to know the fastest way.

My extensions are using api, so the user will add his own to work on. Both of them are for social media, content creation and productivity.

I'll be honest I was a ChatGPT loyalist. Used it since launch, paid for Plus, figured Claude was just "another AI" with a different coat of paint. I'd see people on here hyping it up and honestly thought it was just echo chamber stuff.

Then last week I hit a wall.

I was working on a project that required parsing through a ~15k word technical document, identifying inconsistencies in the logic, and then rewriting entire sections while maintaining a very specific tone and structure. Not summarizing. Not bullet pointing. Actually *engaging* with the content deeply.

GPT kept giving me the same pattern:

- Surface-level summary when I asked for analysis

- Lost the thread after a few exchanges

- Kept reverting to generic "professional" tone no matter how I prompted

- When I pointed out it missed something, it would apologize and then... miss something else

Out of frustration, I pasted the whole doc into Claude.

It caught three logical contradictions I had genuinely missed myself. Not obvious ones either like subtle timeline conflicts and a statistical claim that contradicted an earlier framework. When I asked it to rewrite the inconsistent sections, it didn't just patch holes. It restructured the flow so the contradictions were resolved *naturally*, without making it feel like a band-aid fix.

And the tone?

I told it to match the author's voice and it actually did. Not some polished corporate version of it. The actual voice.

The biggest difference I noticed: Claude actually *reads*.

GPT feels like it skims and pattern matches.

Claude feels like it sits with the text and understands what it's saying before responding.

I'm not ditching GPT entirely still use it for quick stuff, coding help, brainstorms. But for anything that requires actual depth, long context understanding, or quality writing? I'm going to Claude first now.

Anyway, that's my late to the party realization. what specific tasks made others switch?

Ps: A few people are asking I was using GPT-4o and Claude 3.5 Sonnet for comparison. And no, I'm not an Anthropic shill lol, just a guy who spent 3 weeks fighting the wrong tool.

I'll be honest I was a ChatGPT loyalist. Used it since launch, paid for Plus, figured Claude was just "another AI" with a different coat of paint. I'd see people on here hyping it up and honestly thought it was just echo chamber stuff.

Then last week I hit a wall.

I was working on a project that required parsing through a ~15k word technical document, identifying inconsistencies in the logic, and then rewriting entire sections while maintaining a very specific tone and structure. Not summarizing. Not bullet pointing. Actually *engaging* with the content deeply.

GPT kept giving me the same pattern:

- Surface-level summary when I asked for analysis

- Lost the thread after a few exchanges

- Kept reverting to generic "professional" tone no matter how I prompted

- When I pointed out it missed something, it would apologize and then... miss something else

Out of frustration, I pasted the whole doc into Claude.

It caught three logical contradictions I had genuinely missed myself. Not obvious ones either like subtle timeline conflicts and a statistical claim that contradicted an earlier framework. When I asked it to rewrite the inconsistent sections, it didn't just patch holes. It restructured the flow so the contradictions were resolved *naturally*, without making it feel like a band-aid fix.

And the tone?

I told it to match the author's voice and it actually did. Not some polished corporate version of it. The actual voice.

The biggest difference I noticed: Claude actually *reads*.

GPT feels like it skims and pattern matches.

Claude feels like it sits with the text and understands what it's saying before responding.

I'm not ditching GPT entirely still use it for quick stuff, coding help, brainstorms. But for anything that requires actual depth, long context understanding, or quality writing? I'm going to Claude first now.

Anyway, that's my late to the party realization. what specific tasks made others switch?

Ps: A few people are asking I was using GPT-4o and Claude 3.5 Sonnet for comparison. And no, I'm not an Anthropic shill lol, just a guy who spent 3 weeks fighting the wrong tool.

if you like the post please join me on my new subreddit for more posts.

Hot take: “Prompt engineering” is mostly a waste of time for entrepreneurs

Yeah, I said it.

If you’re running a business and still spending hours trying to craft the perfect prompt… you’re optimizing the wrong thing.

I did the same with and .

It felt productive.

It wasn’t.

The uncomfortable truth

Prompts don’t scale.

Systems do.

A better prompt might save you 5 minutes.

A better system saves you hours every week.

What most people are doing

Writing long, detailed prompts

Tweaking outputs manually

Starting from scratch every time

That’s not leverage. That’s busywork with extra steps.

What actually works (from experience)

1. Give AI real context once

how you write

what your business does

what you hate in outputs

Now you’re not repeating yourself 100 times.

2. Use it on real inputs (not blank prompts)

past content

client data

documents

AI gets exponentially better when it has something real to work with.

3. Systemize your repeat tasks

Turn this:

“Write a newsletter about X”

Into this:

/newsletter → input topic → output ready draft

Now it’s predictable.

4. Integrate it into your workflow

When AI connects to your tools (email, calendar, ), it stops being a chatbot and starts acting like an assistant.

The shift that matters

Beginners ask:

“What’s the best prompt?”

Operators ask:

“How do I never have to think about this task again?”

Real talk

If your AI workflow looks like:

open chat

type prompt

fix output

repeat

You’re still doing the work.

AI is just making it slightly faster.

What changed for me

I stopped chasing “perfect prompts”

I built reusable workflows

I focused on repeatability

Now AI handles chunks of work without me babysitting it.

This isn’t about being technical.

It’s about thinking like an operator, not a user.

If you want to get the practical version comment "System"

Curious:

What’s one task in your business you still do manually that could be systemized?

📂 Vibe Coding Stack (2026 Edition)

┃

┣ 📂 AI Coding Agents

┃ ┣ 📂 Claude Code

┃ ┣ 📂 OpenAI Codex

┃ ┣ 📂 Manus Agent

┃ ┣ 📂 Replit Agent

┃ ┗ 📂 OpenCode

┃

┣ 📂 No-Code / Fast MVP Builders

┃ ┣ 📂 Lovable

┃ ┣ 📂 Bolt

┃ ┣ 📂 v0

┃ ┣ 📂 Base44

┃ ┗ 📂 Emergent

┃

┣ 📂 AI Models For Building

┃ ┣ 📂 Claude Opus

┃ ┣ 📂 OpenAI GPT

┃ ┣ 📂 Gemini

┃ ┣ 📂 DeepSeek

┃ ┗ 📂 Kimi K2.6

┃

┣ 📂 Frontend Stack

┃ ┣ 📂 Next.js

┃ ┣ 📂 React

┃ ┣ 📂 Tailwind CSS

┃ ┣ 📂 Shadcn UI

┃ ┗ 📂 Framer Motion

┃

┣ 📂 Backend Stack

┃ ┣ 📂 Supabase

┃ ┣ 📂 Firebase

┃ ┣ 📂 Neon

┃ ┣ 📂 Prisma

┃ ┗ 📂 Convex

┃

┣ 📂 Authentication

┃ ┣ 📂 Clerk

┃ ┣ 📂 Supabase Auth

┃ ┣ 📂 Auth.js

┃ ┣ 📂 Firebase Auth

┃ ┗ 📂 WorkOS

┃

┣ 📂 Database & Storage

┃ ┣ 📂 PostgreSQL

┃ ┣ 📂 Supabase Storage

┃ ┣ 📂 Cloudflare R2

┃ ┣ 📂 Backblaze B2

┃ ┗ 📂 UploadThing

┃

┣ 📂 Payments & Monetization

┃ ┣ 📂 Stripe

┃ ┣ 📂 Lemon Squeezy

┃ ┣ 📂 Paddle

┃ ┣ 📂 Polar

┃ ┗ 📂 PayPal

┃

┣ 📂 Hosting & Deployment

┃ ┣ 📂 Vercel

┃ ┣ 📂 Cloudflare Pages

┃ ┣ 📂 Railway

┃ ┣ 📂 Render

┃ ┗ 📂 Digital Ocean

┃

┣ 📂 APIs & AI Infrastructure

┃ ┣ 📂 OpenRouter

┃ ┣ 📂 OpenAI API

┃ ┣ 📂 Anthropic API

┃ ┣ 📂 Replicate

┃ ┗ 📂 Fal

┃

┣ 📂 Automation & Background Jobs

┃ ┣ 📂 Inngest

┃ ┣ 📂 Trigger.dev

┃ ┣ 📂 n8n

┃ ┣ 📂 Make

┃ ┗ 📂 Zapier

┃

┣ 📂 Email & Notifications

┃ ┣ 📂 Resend

┃ ┣ 📂 Loops

┃ ┣ 📂 Brevo

┃ ┣ 📂 MailerLite

┃ ┗ 📂 OneSignal

┃

┣ 📂 Analytics & Tracking

┃ ┣ 📂 PostHog

┃ ┣ 📂 Google Analytics

┃ ┣ 📂 Mixpanel

┃ ┣ 📂 Plausible

┃ ┗ 📂 Hotjar

┃

┣ 📂 Error Tracking & Testing

┃ ┣ 📂 Sentry

┃ ┣ 📂 Playwright

┃ ┣ 📂 Vitest

┃ ┣ 📂 Cypress

┃ ┗ 📂 Better Stack

┃

┣ 📂 Design & Product Planning

┃ ┣ 📂 Figma

┃ ┣ 📂 Notion

┃ ┣ 📂 FigJam

┃ ┣ 📂 Miro

┃ ┗ 📂 Framer

┃

┣ 📂 Documentation & Knowledge

┃ ┣ 📂 Notion

┃ ┣ 📂 NotebookLM

┃ ┣ 📂 Perplexity

┃ ┣ 📂 GitHub Docs

┃ ┗ 📂 YouTube Tutorials

┃

┣ 📂 Launch & Distribution

┃ ┣ 📂 Product Hunt

┃ ┣ 📂 MarketingBlocks AI

┃ ┣ 📂 Instantly

┃ ┣ 📂 Reddit

┃ ┗ 📂 Apollo

┃

┗ 📂 Support & Feedback

┣ 📂 Intercom

┣ 📂 Slack

┣ 📂 Crisp

┣ 📂 Tally

┗ 📂 Tawk

Save this stack before you build your next SaaS.

Use it as your shortcut when you’re choosing tools, setting up your MVP, or deciding what to build with AI.

i asked Ai : How People Are Making $20K+ Selling Simple PDFs on Gumroad?

I get this great post and i totaly agree with him

I’ve been researching how creators are getting traffic to their Gumroad products lately and honestly…

Reddit keeps showing up over and over again.

Not TikTok.
Not SEO.
Not Instagram.

Reddit.

I found creators making:

• $420 in 7 days from a simple PDF
• $10k+ without ads
• $20k+ mainly from Medium + Reddit traffic
• consistent sales from answering questions in niche subreddits

One thing I noticed:

Most beginners think they need:

• a huge audience
• paid ads
• polished branding
• a “personal brand”

But a lot of these creators were selling:

• ugly PDFs
• Notion templates
• AI prompt packs
• small guides
• simple systems

And the traffic came from solving real problems in communities that already existed.

This part really changed how I think about traffic:

Give feedback

At the same time, Medium also seems insanely underrated.

A lot of Gumroad sellers are apparently using:
Medium → Gumroad

because Medium articles rank on Google fast and keep bringing traffic for months.

And Substack?

From what I’m seeing:

• amazing for owning an audience
• weak for discovery when starting from zero

So now I’m thinking the best setup might actually be:

Reddit → Medium → Gumroad → Substack

Use Reddit for instant attention
Medium for SEO + evergreen traffic
Substack for email ownership

Curious what everyone here thinks.

If you had to start from zero today and sell digital products on Gumroad…

Would you focus on Reddit, Medium, or Substack first?

, I got obsessed with dropshipping.

don't miss the First part here:

https://www.reddit.com/r/MakeMoneyHacks/comments/1t58yiq/i_faked_my_first_fiverr_review_and_it_worked/

Like everyone else, I fell into the YouTube rabbit hole.

“Winning products”
“$10k/month stores”
“Passive income”

So I did what every beginner does.

I spent days watching tutorials.
Learned Shopify.
Designed my first store.
Added products.
Changed themes 20 times.
Thought I was building the next big thing 😅

And honestly?

The store looked pretty good.

There was just one problem…

I had no money left.

No budget for ads.
No money to test products.
No way to compete with people spending thousands every month.

That’s the part nobody talks about when you’re starting from zero.

Most beginners don’t fail because they’re lazy.

They fail because the business model requires money before momentum.

So eventually I stopped.

Not because I hated it.

But because I realized I was trying to force a business model I couldn’t financially survive long enough to learn.

And that’s when something clicked in my head.

Instead of asking:
“How do I sell products online?”

I asked:
👉 “What skill did I just spend months learning?”

Answer:
Building stores.

That one realization changed everything for me.

Because instead of trying to become a successful dropshipper…

I started helping OTHER people launch stores.

Same Shopify skills.
Same design work.
Same product research.

Different business model.

I opened a Fiverr account.
Uploaded examples.
Started offering Shopify store creation.

At first?
Nothing happened.

But eventually that skill made me my first real money online.

And looking back now…

Dropshipping wasn’t actually the failure.

The failure was trying to use the right skill inside the wrong situation.

Sometimes you don’t need a new skill.

You just need a better angle.

Tomorow i will post the part 3, if you want to read the full case study in one ebook FREE tell me in comment

I used to just open Claude and throw random prompts at it.

Results were decent, but inconsistent.

Then I started using dedicated system prompts depending on the workflow, and honestly it changed everything. The outputs became way more focused and predictable.

Here are 3 setups I keep reusing.

1. Content Writer Setup

I use this for Reddit posts, blog drafts, and casual content.

System prompt:

“You are an experienced online writer who explains ideas in a simple, human way. Avoid corporate language and generic AI phrasing. Write with clarity and slight imperfections like a real person.”

What changed:

• Less robotic tone
• Better flow
• More natural wording

This alone improved content quality a lot for me.

2. Research / Breakdown Setup

I use this when learning a topic or comparing tools.

System prompt:

“You are a technical researcher. Break down topics clearly and logically. Focus on practical insights, tradeoffs, and real-world examples. Avoid fluff and repetition.”

What changed:

• Cleaner explanations
• More structured outputs
• Better comparisons

Especially useful for software/tool research.

3. Critic / Editor Setup

This one surprised me the most.

Instead of asking Claude to generate better content, I ask it to critique first.

System prompt:

“You are a strict editor. Your job is to identify weak points, vague wording, unnecessary complexity, and areas lacking clarity. Give direct feedback and suggest improvements.”

Then I paste my draft under it.

What changed:

• Better rewrites
• More honest feedback
• Easier to improve prompts/content

Biggest thing I learned:

The system prompt matters more than I thought.

Now I treat Claude less like a chatbot and more like switching between different specialists depending on the task.

Curious if anyone else has setups they reuse often.

I used to just open Claude and throw random prompts at it.

Results were decent, but inconsistent.

Then I started using dedicated system prompts depending on the workflow, and honestly it changed everything. The outputs became way more focused and predictable.

Here are 3 setups I keep reusing.

1. Content Writer Setup

I use this for Reddit posts, blog drafts, and casual content.

System prompt:

“You are an experienced online writer who explains ideas in a simple, human way. Avoid corporate language and generic AI phrasing. Write with clarity and slight imperfections like a real person.”

What changed:

• Less robotic tone
• Better flow
• More natural wording

This alone improved content quality a lot for me.

2. Research / Breakdown Setup

I use this when learning a topic or comparing tools.

System prompt:

“You are a technical researcher. Break down topics clearly and logically. Focus on practical insights, tradeoffs, and real-world examples. Avoid fluff and repetition.”

What changed:

• Cleaner explanations
• More structured outputs
• Better comparisons

Especially useful for software/tool research.

3. Critic / Editor Setup

This one surprised me the most.

Instead of asking Claude to generate better content, I ask it to critique first.

System prompt:

“You are a strict editor. Your job is to identify weak points, vague wording, unnecessary complexity, and areas lacking clarity. Give direct feedback and suggest improvements.”

Then I paste my draft under it.

What changed:

• Better rewrites
• More honest feedback
• Easier to improve prompts/content

Biggest thing I learned:

The system prompt matters more than I thought.

Now I treat Claude less like a chatbot and more like switching between different specialists depending on the task.

Curious if anyone else has setups they reuse often.

To be Honest gpt helped me to collect my ideas in one post 😁

Most people in here are still treating prompts like magic spells.

“Give me the perfect prompt for X.”

That mindset is exactly why you’re stuck.

Prompt engineering isn’t about writing one clever sentence. It’s about designing a system of thinking that the model can follow.

Here’s the shift that changed everything for me:

---

🔴 What beginners do:

- Write one big prompt

- Hope the AI “gets it”

- Keep tweaking words randomly

- Blame the model when output sucks

---

🟢 What actually works:

1. Decompose the task

Stop asking for the final result.

Instead:

- Step 1: Define the goal

- Step 2: Extract constraints

- Step 3: Generate structure

- Step 4: Fill in details

AI performs way better when thinking in steps.

---

2. Assign roles (properly)

Don’t just say “you are an expert.”

Be specific:

- Context (who are they)

- Objective (what they must achieve)

- Constraints (what to avoid)

Example:

«You are a conversion-focused copywriter specializing in COD e-commerce in Algeria. Your goal is to maximize CTR while keeping language simple and culturally relevant.»

That’s 10x stronger than generic roles.

---

3. Force structure

If you don’t control format, you lose control of output.

Use:

- Bullet frameworks

- Sections

- JSON if needed

Example:

- Hook

- Problem

- Solution

- Proof

- CTA

---

4. Iterate like a programmer

Stop rewriting everything.

Instead:

- “Improve only the hook”

- “Make it more aggressive”

- “Shorten by 30%”

Treat prompts like version control.

---

5. Use constraints as a weapon

Constraints don’t limit AI — they focus it.

Examples:

- Max 12 words per sentence

- Use emotional triggers

- Avoid generic phrases

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⚡ Realization:

The best prompt engineers aren’t “creative writers.”

They’re system designers.

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If you’re still hunting for “perfect prompts,” you’re playing the wrong game.

Start building repeatable frameworks instead.

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Curious — what’s one prompt that completely failed for you, and why?

just i want to share my first days on fiverr 😁

I was stuck at 0 orders for days.

No views. No clicks. Nothing.

Competition was insane, and I had no idea how people were even getting their first client.

So I did something simple (and probably stupid).

I asked a friend to buy my service.
Then I bought his.

We both left reviews.

That was it.

The next day, my gig started getting impressions.
Then clicks.
Then 2 days later… my first real order.

Same service. Same skills.
Only difference?

👉 One review

It made me realize something:

Most people don’t fail because they’re bad.
They fail because they never get visible.

Curious if anyone else did something like this to get their first client?

I’ve been going back and forth on this and I’m curious what others are seeing.

Sometimes I want the model to really think through a problem step by step. Other times I just want a clean, direct answer without extra explanation.

In my experience, some models seem better when you let them reason things out, while others are much better at giving straight to the point answers.

I’ve had cases where asking for step by step thinking improved the result a lot. But in other cases it actually made the output worse or overly long.

So now I’m not sure when it’s actually worth using each approach.

What’s been working better for you lately?