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https://twitter.com/1643695629665722379/status/1950487553871847622

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God of Prompt

@godofprompt

Feb 14

Claude is insane for product management.

I reverse-engineered how top PMs at Google, Meta, and Anthropic use it.

The difference is night and day.

Here are 10 prompts they don't want you to know (but I'm sharing anyway):

1. PRD Generation from Customer Calls

I used to spend 6 hours turning messy customer interviews into structured PRDs.

Now I just dump the transcript into Claude with this:

Prompt:

---

You are a senior PM at [COMPANY]. Analyze this customer interview transcript and create a PRD with:

1. Problem statement (what pain points did the customer express in their own words?)
2. User stories (3-5 stories in "As a [user], I want [goal] so that [benefit]" format)
3. Success metrics (what would make this customer renew/upgrade?)
4. Edge cases the customer implied but didn't directly state

Be ruthlessly specific. Quote the customer directly when identifying problems.

---

2. Competitive Analysis with Actual Strategy

Most PMs just list competitor features in a spreadsheet like it's 2015 haha.

Here's how I get Claude to actually think like a competitive analyst:

Prompt:

---

You are a competitive intelligence analyst

Analyze [COMPETITOR] and answer:
- What job are customers hiring them to do? (not what features they have)
- Where are they vulnerable? (what complaints appear in G2/Reddit/Twitter?)
- What would you build to win their customers in the next 6 months?

- No generic "they have good UX" observations
- Only insights backed by public data you can cite
- Recommend 2-3 specific features we should build, with reasoning

---

Read 14 tweets

God of Prompt

@godofprompt

Feb 13

How to use LLMs for competitive intelligence (scraping, analysis, reporting):

Step 1 - Data Collection (Gemini)

Prompt:

Analyze [COMPETITOR]'s last 90 days of activity:

1. Product launches or updates
2. Pricing changes
3. New hires (executive level)
4. Customer complaints (Reddit, Twitter, G2)
5. Website changes (new pages, messaging shifts)

Format as structured data:
{date, category, description, source_url, impact_score_1-10}

Step 2 - Pattern Recognition (ChatGPT)

Feed it Gemini's output, then:

Prompt:

You are a competitive intelligence analyst with 15 years experience.

Analyze this 90-day activity data for [COMPETITOR].

Find patterns most analysts miss:
- Timing of announcements (seasonal? reactive?)
- Hiring → product launch lag time
- Pricing changes → customer sentiment correlation
- Website messaging evolution

Output: 5 strategic insights with evidence.

Read 13 tweets

God of Prompt

@godofprompt

Feb 12

After interviewing 12 AI researchers from OpenAI, Anthropic, and Google, I noticed they all use the same 10 prompts.

Not the ones you see on X and LinkedIn.

These are the prompts that actually ship products, publish papers, and break benchmarks.

Here's what they told me ↓

1. The "Show Your Work" Prompt

"Walk me through your reasoning step-by-step before giving the final answer."

This prompt forces the model to externalize its logic. Catches errors before they compound.

2. The "Adversarial Interrogation"

"Now argue against your previous answer. What are the 3 strongest counterarguments?"

Models are overconfident by default. This forces intellectual honesty.

Read 13 tweets

God of Prompt

@godofprompt

Feb 11

Prompt engineering is dead.

"Prompt chaining" is the new meta.

Break one complex prompt into 5 simple prompts that feed into each other.

I tested this for 30 days. Output quality jumped 67%.

Here's how to do it ↓

Most people write 500-word mega prompts and wonder why the AI hallucinates.

I did this for 2 years with ChatGPT.

Then I discovered how OpenAI engineers actually use these models.

They chain simple prompts. Each one builds on the last.

Here's the framework:

Step 1: Break your complex task into 5 micro-tasks
Step 2: Each prompt outputs a variable for the next
Step 3: Final prompt synthesizes everything

Example: Instead of "write a viral thread about AI" →

Chain 5 prompts that do ONE thing each.

Read 11 tweets

God of Prompt

@godofprompt

Feb 10

I've written 500 articles, 23 whitepapers, and 3 ebooks using Claude over 2 years, and these 10 prompts are the ONLY ones I actually use anymore because they handle 90% of professional writing better than any human editor I've worked with and cost me $0.02 per 1000 words: 👇

1. The 5-Minute First Draft

Prompt:

"Turn these rough notes into an article:

[paste your brain dump]

Target length: [800/1500/3000] words
Audience: [describe reader]
Goal: [inform/persuade/teach]

Keep my ideas and examples. Fix structure and flow."

2. Headline Machine (Steal This)

Prompt:

"Topic: [your topic]

Write 20 headlines using these formulas:
- How to [benefit] without [pain point]
- [Number] ways [audience] can [outcome]
- The [adjective] guide to [topic]
- Why [common belief] is wrong about [topic]
- [Do something] like [authority figure]
- I [did thing] and here's what happened
- What [success case] knows about [topic] that you don't

Rank top 3 by click-through potential."

Read 13 tweets

God of Prompt

@godofprompt

Feb 9

RIP "act as an expert" and basic prompting.

A former OpenAI engineer just exposed "Prompt Contract" - the internal technique that makes LLMs actually obey you.

Works on ChatGPT, Claude, Gemini, everything.

Here's how to use it right now:

Here's why your prompts suck:

You: "Write a professional email"
AI: *writes generic corporate bullshit*

You: "Be more creative"
AI: *adds exclamation marks*

You're giving vibes, not instructions.

The AI is guessing what you want. Guessing = garbage output.

Prompt Contracts change everything.

Instead of "write X," you define 4 things:

1. Goal (exact success metric)
2. Constraints (hard boundaries)
3. Output format (specific structure)
4. Failure conditions (what breaks it)

Think legal contract, not creative brief.

Read 14 tweets

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