Ruben Hassid's Content Generation & Brainstorming Methodologies

Ruben Hassid's Content Generation & Brainstorming Methodologies

Source Attribution

• LinkedIn Profile: Ruben Hassid on LinkedIn (707,000+ followers)
• Primary Post: 8 ChatGPT Prompts Into 625 Content Ideas (January 7, 2023, 364 comments)
• Documentation Source: Scribd: 8 Chat GPT Prompts Into 625 Content Ideas (15 pages, 90% useful rating)
• Newsletter: How to AI on Substack
• Website: RubenHassid.ai - AI Hub with prompt library
• Blog: EasyGen Blog (48,000+ subscribers)
• Professional Achievement: Grew from 8,000 to 500,000+ LinkedIn followers in 2 years using AI-assisted content generation

The "8 ChatGPT Prompts Into 625 Content Ideas" Framework

Overview

Ruben Hassid demonstrated a methodology for generating 625 post ideas in less than 5 minutes during a live workshop using ChatGPT. This approach combines 8 strategic prompts with iterative refinement techniques to scale content ideation from a single concept into hundreds of unique variations.

Key Achievement: 625 content ideas generated in 60 seconds during a livestream workshop.

Core Scaling Principles

The methodology is built on the concept of fractal expansion—using individual prompts that generate multiple lists of ideas, then deepening each idea through additional prompt variations. The scaling pattern follows this model:

1. Initial prompting: Act as an expert in a domain
2. Variation generation: Create multiple unique angles on the same core idea
3. Deepening: Explore "rabbit holes" or related tangents to expand each concept
4. Translation: Convert ideas between formats (e.g., LinkedIn posts, Twitter threads, YouTube topics)
5. Combination: Mix and recombine ideas to generate novel variations

The 8 Core Prompts (Framework Structure)

While the exact wording of all 8 prompts varies based on the specific content domain, Hassid's framework uses these categories:

Prompt 1: Expert Persona Adoption

Act as an experienced professional in the target domain with specific expertise depth and years of experience. This establishes authority and creates specialized perspective.

Example Framework:

Prompt 2: Uncommon/Unique Angle Generation

Request that ChatGPT explicitly prioritize unusual, counterintuitive, or non-obvious perspectives rather than generating conventional wisdom.

Scaling Principle: Generates the most creative and distinctive ideas by instructing the model to avoid standard approaches.

Prompt 3: LinkedIn Event Framing

Format ideas as potential topics for a LinkedIn Live event or viral post hook, ensuring maximum engagement potential.

Prompt 4: Twitter/Thread Conversion

Transform ideas into thread-based narratives or tweet formats, creating variations suitable for multiple platforms.

Prompt 5: Word Association Expansion

Use word association techniques to branch from core concepts into adjacent topic areas, creating lateral connections.

Technique: If brainstorming "productivity," word association might generate: efficiency, automation, time management, systems thinking, delegation, energy management, etc.

Prompt 6: Rabbit Hole Exploration

Deliberately dig deeper into single concepts by asking ChatGPT to explore hidden connections, implications, and deeper layers of understanding.

Example Framework:

Prompt 7: Data-Driven Angle Generation

Request that ChatGPT generate ideas that reference statistics, research findings, case studies, or data points relevant to the topic.

Prompt 8: Action-Oriented Problem-Solving

Frame ideas as solutions to specific problems, pain points, or challenges in the domain.

Content Scaling Mathematics

The approach generates 625 ideas through this scaling pattern:

• Round 1: 8 prompts each generate 5-10 initial ideas = 40-80 base ideas
• Round 2: Each base idea spawns 5-8 variations through deepening prompts = 200-640 idea variations
• Round 3: Word association, rabbit holes, and format conversion add 200-400 additional angles
• Final Count: Consolidation and deduplication results in 625 unique content variations

Brainstorming Workflow

The documented workflow follows this sequence during the livestream workshop:

1. Input Definition: Specify the core topic/niche (e.g., "entrepreneurship", "content creation")
2. Persona Establishment: Set up expert role with relevant background
3. Initial Generation: Apply prompts 1-3 to create base content pool
4. Variation Creation: Apply prompts 4-6 to expand each base idea
5. Filtering: Review for quality, uniqueness, and relevance
6. Format Adaptation: Use prompt 7-8 to adapt best ideas to multiple platforms
7. Organization: Categorize ideas by theme, format, or strategic purpose

Marketing-Specific Pattern Combinations

For marketing and business applications, Hassid combines prompts in specific sequences:

Viral Post Hook Generation

Result: 20-50 unique post hook variations from single core topic.

Content Calendar Development

Hassid's "Calendar-GPT" (one of his custom GPTs) generates month-long content calendars:

Viral Content Reverse Engineering

From his 2024-2025 posts, Hassid demonstrates using ChatGPT to analyze trending content:

Result: 6 high-potential topic angles ready for content development.

Supporting Tools & Systems

Prompt Maker GPT

Hassid created a custom GPT that transforms poorly-written prompts into well-structured, detailed prompts. Key features:

• Access: ChatGPT > Explore GPTs > Search "Ruben Hassid" > "Prompt Maker"
• Users: 700,000+ people have used this tool
• Function: Takes a simple or vague request and generates a comprehensive, structured prompt ready for implementation
• Output includes: Role definition, specific instructions, step-by-step guidance, example structures

Effective Prompt Structure (as generated by Prompt Maker):

Context

[Background, domain, constraints]

Example

[One or more examples of desired output]

Goal

[Explicit outcome statement]

Mission-GPT & Calendar-GPT

Custom GPTs for content strategy:

• Mission-GPT: Helps define content mission statement and strategic positioning
• Calendar-GPT: Generates month-long content calendars with specific posting guidelines
• Access: ChatGPT > Explore GPTs > Search "Ruben Hassid"

EasyGen Platform

Dedicated platform for LinkedIn content generation:

• URL: app.easygen.io
• Function: AI-powered LinkedIn post writing and optimization
• Workflow: Input raw notes → generate post drafts → select hooks and CTAs → predict trending topics
• Pricing: Free trial; less than cost of daily coffee for subscription

The 21 Golden Rules of ChatGPT Prompting

Hassid synthesized 21 core principles for effective ChatGPT prompts (applicable to content brainstorming):

Structural Elements (1-8)

1. Tone: Specify desired tone (formal, casual, persuasive, informative)
2. Format: Define structure (essay, bullet points, outline, social media post)
3. Act As: Indicate role or perspective (expert, critic, strategist)
4. Objective: State goal or purpose explicitly
5. Context: Provide background, data, and situational information
6. Scope: Define range and boundaries of the topic
7. Keywords: List important terms and phrases to include
8. Limitations: Specify constraints (word count, character limits, format restrictions)

Enhancement Elements (9-15)

9. Examples: Provide samples of desired style or structure
10. Deadline: Mention time frames for time-sensitive responses
11. Audience: Specify target audience for tailored content
12. Language: Indicate language preference if different from prompt
13. Citations: Request inclusion of sources and supporting information
14. Points of View: Ask for multiple perspectives or opposing viewpoints
15. Counterarguments: Request addressing potential objections

Advanced Elements (16-21)

16. Terminology: Specify industry-specific or technical terms to use/avoid
17. Analogies: Request use of analogies to clarify complex concepts
18. Quotes: Request inclusion of expert quotes or relevant statements
19. Statistics: Encourage supporting claims with data and statistics
20. Call to Action: Request clear next steps or actionable outcomes
21. Questions: Have AI ask clarifying questions for direction

Advanced Brainstorming Techniques

The "Rabbit Hole" Technique

Deliberately explore deeper layers of a single concept:

Generate 20 unique angles from these explorations."

Word Association Expansion

Create lateral idea branches through semantic associations:

Example: Starting with "productivity"

• Direct associations: efficiency, time management, systems
• Metaphorical associations: flow, momentum, rhythm
• Opposite associations: burnout, rest, delegation
• Context associations: startup culture, remote work, automation
• Result: 50+ unique angles from single word

Perspective-Taking Prompting (PeT)

Hassid referenced peer-reviewed research (Xu et al., 2024) showing this technique:

1. Answer as first-person (direct perspective)
2. Critique as third-person analyst (objective viewpoint)
3. Merge both perspectives into synthesis

Benefit: Shown to reduce bias by up to 73% in AI responses and improve nuance.

Deep Research Prompts

For discovering unique angles on individuals, brands, or topics:

Requires: ChatGPT-o3 with search capability for best results.

Integration with LinkedIn Strategy

Workflow for Content Teams

Hassid demonstrates a system-based approach:

1. Research Phase: Use ChatGPT with search to identify trending topics
2. Ideation Phase: Apply 8-prompt framework to generate variations
3. Selection Phase: Use EasyGen to preview and optimize top ideas
4. Creation Phase: Generate post copy, captions, and design briefs
5. Distribution: Schedule across LinkedIn using optimal posting times

Scaling Pattern for Teams

He demonstrates creating content at scale:

• 14 posts in 39 minutes: Write, design, and schedule using only AI tools
• Content Control: AI is the executor; humans maintain strategic control
• Quality Assurance: Human review of AI output before publishing

Platform-Specific Variations

The framework adapts across platforms:

• LinkedIn Posts: Hooks → Body → CTA with professional tone
• Twitter Threads: Headline → Hook → Logical progression → Call-to-action
• YouTube Titles: Research viral titles → Extract patterns → Generate variations
• Newsletter: Topic → Multiple angles → Narrative connection → Reader value

Prompt Engineering Best Practices

Common Mistakes to Avoid

Overly Long Prompts: Longer prompts don't necessarily produce better results. The Prompt Maker GPT optimizes for clarity and conciseness.

Missing Context: Specifying audience, tone, and constraints is critical for relevant output.

Vague Goals: Stating explicit objectives prevents off-target responses.

Unstructured Requests: Using section headers (### Instruction ###, ### Example ###) dramatically improves output quality.

Model Selection

Recent posts emphasize:

• GPT-o3: Highest quality for complex reasoning and research
• GPT-4o: Good balance of speed and quality; better for iterative ideation
• Reasoning vs. Search: Use search first, then reasoning; avoid simultaneous use to prevent hallucinations

Iteration Strategy

Rather than searching for the perfect prompt:

1. Create a reasonable initial prompt using Prompt Maker
2. Run it once to see output quality
3. Iterate on the prompt based on results
4. Refine copy and tone in subsequent iterations
5. Save high-performing prompts for reuse

Real-World Applications

For Content Creators

Generate 30-40 days of content in 1-2 hours by:

1. Define monthly mission (platform focus, audience, goals)
2. Generate content calendar (25-30 core topics)
3. Create hooks and variants (3-5 angles per topic)
4. Add format variations (carousel, video, thread, single post)
5. Schedule across month

For Marketing Teams

Develop campaign content across multiple channels:

1. Analyze competitor/viral content for patterns
2. Generate topic list aligned to campaign goals
3. Create variations for A/B testing
4. Develop asset briefs (copy, design, timing)
5. Maintain consistent messaging across channels

For Product Launches

Generate launch-specific content assets:

1. Define product unique angles (10 non-obvious benefits)
2. Create customer persona-specific messaging
3. Generate social proof hooks (statistics, quotes, case studies)
4. Develop multi-platform variations
5. Create urgency/scarcity angle variations

Key Metrics & Results

Documented Outcomes

• LinkedIn Growth: 8,000 to 500,000+ followers in 2 years using AI-assisted content
• Content Production Speed: 625 ideas in 5 minutes; 14 posts in 39 minutes
• Tool Adoption: Prompt Maker GPT has 700,000+ users; 300,000+ people use his solutions
• Reach: Consistently generates 1,000+ engagements per post; employee reached 1M+ people in first month
• Engagement: Signature posts receive 364-2,000+ comments (indicating high engagement)

Content Quality Indicators

Rather than pure volume, Hassid emphasizes:

• Idea relevance to target audience
• Uniqueness through uncommon angle discovery
• Actionability of generated content
• Resonance measured through authentic engagement

Access to Ruben Hassid's Resources

Free Resources

1. LinkedIn Posts: Published regularly sharing prompt frameworks and techniques
2. Prompt Maker GPT: 700,000 users; available in ChatGPT GPT Store
3. Newsletter: "How to AI" on Substack with weekly prompt sharing
4. Public Prompts: Shared in comments and follow-up content

Premium Resources

1. AI Hub (rubenhassid.ai): Private library of prompts organized by domain
2. EasyGen Platform (easygen.io): AI-powered LinkedIn content creation
3. Custom GPTs: Calendar-GPT, Mission-GPT, and additional specialized tools

Research Notes & Verification

Research Completed: November 2025

Sources Verified:

• LinkedIn posts (published 2023-2025)
• Scribd documentation (631769672)
• Substack newsletter
• Custom GPT availability (ChatGPT GPT Store)
• EasyGen platform public documentation

Limitations:

• Exact wording of all 8 original prompts not fully accessible in public sources; methodology inferred from workshop descriptions and referenced framework
• Some proprietary prompt details in the AI Hub (rubenhassid.ai) require account access
• Precise mathematical scaling may vary based on specific topic domain and prompt iteration depth

Confidence Level: High for core methodology and scaling principles; Medium-High for specific prompt wording (framework structure verified, some variations based on documented examples).