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God of Prompt

@godofprompt

Jul 30, 2025 • 13 tweets • 5 min read • Read on X

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I used Lovable's new AI agent to clone:

• Todoist
• Instagram
• Spotify

and 7 more apps using nothing but prompts

All 10 were live in under 30 minutes.

No code. No templates.

The 10 things I built :

1. Spotify Single-Song Player

Prompt: “Just one song, great visuals.”

What came out:

• vinyl spin animation
• bouncing sound wave visualizer
• breathing play button
• neon accents
• record dance magic when pressed

It’s giving: minimal, musical, magical.

2. Todoist with dancing animals

Prompt: “Make a task manager like Todoist, but cute.”

Lovable delivered:

• speech bubble task entry
• smiley checkboxes
• progress clouds
• cartoon animal helpers
• happy dance animations

Feels like productivity made by Pixar.

3. Splitwise for two friends

I asked for a playful bill-splitter.

Lovable built:

• calculator-style inputs
• balance scale visualization
• 'Settle Up' animation
• coins that jump between avatars
• money-green theme

Like if Splitwise had a Studio Ghibli UI pass.

4. Instagram-style Photo Diary

Said: “Daily photo sharing, like Instagram.”

Got:

• polaroid-style image grid
• animated heart likes
• sparkle effects
• camera preview before upload
• soft white aesthetic

Simple, sweet, and serotonin-packed.

5. LinkedIn Job Post

Lovable created:

• ‘Build the future with us’ header
• confetti on apply
• waving team avatars
• sky-blue + teal palette
• illustrated work environment section

HR doesn’t have to be boring.

6. Evernote, redesigned

Asked for a serious note app with flow.

Lovable shipped:

• Markdown + WYSIWYG toggle
• bi-directional linking
• handwriting canvas
• Pomodoro timer
• graph-based note view

Yes, it exports Markdown and PDF.

7. Pinterest but smarter

Said: “Mood board tool with visual search.”

Got:

• Google Vision tagging
• browser web clipper
• color/object-based filtering
• blurhash lazy loading
• $5/mo monetization baked in

Even includes Pexels API for stock.

8. Google Calendar, reimagined

Prompt: “Give me drag & drop scheduling.”

Lovable built:

• color-coded calendar
• weather + location autocomplete
• timezone support
• iCal & SMS sync
• voice commands

Also: full heatmaps + $ reminders.

9. Wikipedia, modernized

Asked for a fast, accessible knowledge base.

Got:

• auto-suggest with localStorage
• collapsible articles w/ TTS
• offline bookmarking
• dark mode + large fonts
• donation footer + lazy images

Yes, even WCAG AA compliant.

10. Google Forms, but premium

Prompt: “Form builder with beautiful UI.”

Lovable created:

• live mobile previews
• branching logic
• real-time validation
• CSV + SheetDB export
• QR gen + $3/mo pricing toggle

No more purple. Just clean UX.

All 10 apps built by the same AI agent.

No devs. No templates. No boilerplate.

Just smart prompting and Lovable doing the rest turning ideas into shippable products in literal minutes.

AI just gave software development its app store moment.

You don’t need a technical cofounder.
You don’t need weeks of engineering.
You don’t even need to code.

You just need an idea and Lovable.

👉 lovable.dev

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More from @godofprompt

God of Prompt

@godofprompt

Feb 6

Claude Opus 4.6 is a monster.

I just used it for:

- automating marketing tasks
- building full websites and apps
- writing viral X threads, LinkedIn posts, and YouTube scripts

And it did all this in minutes.

Here are 10 prompts you can steal to unlock its full potential:

1. THE CAMPAIGN STRATEGIST

Opus 4.6's 200K context window means it remembers your entire brand voice across all campaigns.

Prompt:

"You are my senior marketing strategist with 10 years of experience in [your industry]. First, analyze my brand voice by reviewing these materials: [paste 3-5 previous posts, your about page, and any brand guidelines].

Then create a comprehensive 30-day content calendar that includes: daily post ideas with specific angles, optimal posting times based on my audience timezone [specify timezone], platform-specific adaptations (Twitter, LinkedIn, Instagram), CTAs tailored to each post's goal, and content themes organized by week.

For the top 5 highest-potential posts, create A/B test variations testing different: hooks, CTAs, content formats (thread vs single post vs carousel), and emotional angles. Include your reasoning for why each variation might outperform.

Finally, identify 3 content gaps my competitors are filling that I'm currently missing."

Opus maintains perfect consistency across 200K tokens. Other models lose your voice after 3-4 posts.

2. THE SPY MACHINE

Opus 4.6 processes competitor data 3x faster than GPT-4 and catches patterns humans miss.

Prompt:

"Act as a competitive intelligence analyst. I need you to reverse-engineer my competitors' entire marketing strategy.

Analyze these 10 competitor assets: [paste competitor landing pages, ad copy, email sequences, social posts, or URLs].

For each competitor, extract and document:
1. Core value proposition and positioning angle
2. Specific CTAs used and where they're placed
3. Social proof tactics (testimonials, logos, stats, case studies)
4. Pricing psychology (anchoring, tiering, urgency tactics)
5. Content strategy patterns (topics, frequency, formats)
6. Unique differentiators they emphasize

Then give me:

- 5 strategies they're ALL using that I'm missing (ranked by potential revenue impact)
- 3 positioning gaps in the market none of them are addressing
- 2 specific weaknesses in their approach I can exploit
- 1 bold contrarian strategy that goes against what everyone's doing

Present findings in a strategic brief format with implementation difficulty and expected timeline for each tactic."

Opus reads entire competitor websites in one shot. No "context too long" errors.

Read 13 tweets

God of Prompt

@godofprompt

Feb 6

Stop telling LLMs like Claude and ChatGPT what to do.

Start asking them questions instead.

I replaced all my instruction prompts with question prompts.

Output quality: 6.2/10 → 9.1/10

This is called "Socratic prompting" and here's how it works:

Most people prompt like this:

"Write a blog post about AI productivity tools"
"Create a marketing strategy for my SaaS"
"Analyze this data and give me insights"

LLMs treat these like tasks to complete.
They optimize for speed, not depth.

You get surface-level garbage.

Socratic prompting flips this.

Instead of telling the AI what to produce, you ask questions that force it to think through the problem.

LLMs are trained on billions of reasoning examples.
Questions activate that reasoning mode.

Instructions don't.

Read 13 tweets

God of Prompt

@godofprompt

Feb 5

I reverse-engineered the actual prompting frameworks that top AI labs use internally.

Not the fluff you see on Twitter.

The real shit that turns vague inputs into precise, structured outputs.

Spent 3 weeks reading OpenAI's model cards, Anthropic's constitutional AI papers, and leaked internal prompt libraries.

Here's what actually moves the needle:

Framework 1: Constitutional Constraints (Anthropic's secret sauce)

Don't just say "be helpful."

Define explicit boundaries BEFORE the task:

"You must: [X]
You must not: [Y]
If conflicted: [Z]"

Claude uses this internally for every single request.

It's why Claude feels more "principled" than other models.

Framework 2: Structured Output Schemas (OpenAI's internal standard)

Stop asking for "a summary."

Define the exact structure:

"Return JSON:
{
"main_point": string,
"evidence": array[3],
"confidence": 0-100
}"

GPT-5 function calling was built for this.

You're just not using it.

Read 13 tweets

God of Prompt

@godofprompt

Feb 3

ChatGPT's custom instructions feature is insanely powerful.

But 99% of people write garbage instructions.

I tested 200+ custom instruction sets.

These 5 patterns increased output quality by 3.4x:

PATTERN 1: Tell ChatGPT what NOT to do

Bad: "Be concise"

Good: "Never use: delve, landscape, robust, utilize, leverage, it's important to note, in conclusion"

Why it works: Negative instructions are specific. Positive instructions are vague.

Output quality jumped 2.1x with this alone.

PATTERN 2: Context over identity

Bad: "I'm a software engineer"

Good: "I build B2B SaaS with React, Node.js, PostgreSQL. My audience is technical founders who need production-ready code, not tutorials."

Same prompt. 10x better output.

The difference? AI knows your environment.

Read 10 tweets

God of Prompt

@godofprompt

Feb 2

The best prompt I ever wrote was telling the AI what NOT to do.

After 2 years using ChatGPT, Claude, and Gemini professionally, I've learned:

Constraints > Instructions

Here are 8 "anti-prompts" that tripled my output quality:

1/ DON'T use filler words

Instead of: "Write engaging content"

Use: "No fluff. No 'delve into'. No 'landscape'. No 'it's important to note'. Get straight to the point."

Result: 67% shorter outputs with 2x more substance.

The AI stops padding and starts delivering.

2/ DON'T explain the obvious

Add this line: "Skip introductions. Skip conclusions. Skip context I already know."

Example: When asking for code, I get the function immediately.

No "Here's a Python script that..." preamble.

Saves 40% of my reading time.

Read 13 tweets

God of Prompt

@godofprompt

Feb 1

I built a prompt that turns years of ChatGPT/Claude conversations into a searchable knowledge base for your @openclaw bot.

Upload your ZIP exports → Get atomic notes, knowledge graph, decision log, prompt library, and pattern analysis.

Steal it 👇

The problem:
You've had 1000+ AI conversations.

Gold buried in there:

- Decisions you made
- Frameworks you built
- Insights you forgot
- Prompts that worked

But it's all trapped in chat history you'll never scroll through again.

The solution:
One prompt that:

> Extracts atomic knowledge units (not summaries - actual knowledge)
> Builds a knowledge graph of people, projects, concepts
> Creates a decision log with rationale
> Saves your best prompts to a library
> Analyzes your AI collaboration patterns

Read 8 tweets

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