Offshore
Moon Dev The Polymarket Cheat Code: Using Autonomous AI Agents To Out-Trade The Smart Money the reality of modern trading is that if you are still relying on your own gut feeling to predict global events you are essentially donating your money to the math…
we are entering an era where your ability to ship code is directly tied to your ability to generate wealth. i keep these trade feeds on my screen all day not to trade manually but to visualize the order flow so i can build better algorithms in my mind while the bots do the actual execution
iteration is the only path to success in this game which is why i share all of this code on github for the real data dogs to pull and build upon. you have to bring your own edge to the table but having an autonomous agent swarm is like showing up to a knife fight with a heat seeking missile
i truly believe that everyone should be a builder right now because the tools are finally accessible to the average person. whether you are using websocket streaming to track whales or consensus models to filter your entries the goal is to move from "i think" to "the data shows" as fast as humanly possible
if you are ready to stop being the liquidity and start being the one who builds the systems then the road map is already laid out for you. the world is moving towards total automation and you can either be the one who writes the code or the one who gets traded against by it
tweet
iteration is the only path to success in this game which is why i share all of this code on github for the real data dogs to pull and build upon. you have to bring your own edge to the table but having an autonomous agent swarm is like showing up to a knife fight with a heat seeking missile
i truly believe that everyone should be a builder right now because the tools are finally accessible to the average person. whether you are using websocket streaming to track whales or consensus models to filter your entries the goal is to move from "i think" to "the data shows" as fast as humanly possible
if you are ready to stop being the liquidity and start being the one who builds the systems then the road map is already laid out for you. the world is moving towards total automation and you can either be the one who writes the code or the one who gets traded against by it
tweet
Offshore
Photo
Jukan
China's DRAM Pioneer CXMT Hits Production Capacity Ceiling… "Stalled by Equipment Supply Restrictions"
ChangXin Memory Technologies (CXMT), the company leading China's push for memory semiconductor self-sufficiency, has reportedly reached its peak production capacity in Q4 of last year and is now facing its limits. Although the Chinese government anticipated U.S. export controls and has been going all out to localize semiconductor equipment, the prevailing analysis is that restrictions on advanced semiconductor equipment will constrain new capacity expansion.
According to data from market research firm Omdia obtained by Chosun Biz on the 12th, CXMT's average monthly wafer production has reached a maximum of approximately 240,000 wafers. Having steadily expanded production capacity since 2024, key industry observers expect CXMT to remain in a plateau throughout this year.
Currently, CXMT's DRAM production capacity is estimated at roughly half that of industry No. 2 SK hynix and just over one-third of Samsung Electronics. On an annual basis last year, Samsung Electronics' DRAM production capacity was approximately 7.6 million wafers, SK hynix at 5.97 million, and Micron at around 3.6 million. While CXMT roughly doubled its wafer output last year compared to the prior year, rapidly scaling up, that momentum is expected to slow starting this year.
Cha Yong-ho, a researcher at LS Securities, said, "The tightening of U.S. export controls is limiting CXMT's capacity expansion. China is aware of this, and its Phase 3 investment fund is being concentrated on semiconductor equipment." He added, "If China succeeds in equipment localization next year, capacity expansion could resume from 2027, including CXMT's new Shanghai fab."
However, the yield rates of CXMT's DRAM production remain a bottleneck. Despite aggressive capital investment to grow in scale, critics consistently point out that actual output falls short. The gap between nameplate capacity and real production is attributed to low yields. While wafer production capacity may look impressive on paper, actual shipment market share is likely even lower due to product defect issues.
According to market research firm Counterpoint Research, the yield rate of CXMT's mainstay 1x-nanometer (first-generation 10nm-class) DRAM process in 2024 was 42% lower than the 1a-nanometer (fourth-generation 10nm-class) process yields of the Big Three memory makers—Samsung Electronics and SK hynix. While the 1a process at Samsung and SK hynix is classified as a mature node, CXMT's yields are said to still hover around the 50% level.
Adding to these challenges, the U.S. government is expected to tighten restrictions on Chinese semiconductor equipment companies, which could further hinder industry growth. Last month, Reuters reported that both Republican and Democratic lawmakers introduced a bill that would prohibit companies receiving subsidies under the CHIPS Act from purchasing Chinese-made equipment for a period of 10 years.
A semiconductor industry source explained, "Unlike NAND flash, DRAM involves far greater design and process complexity, so it will take CXMT considerable time to introduce advanced processes on par with Samsung Electronics or SK hynix." The source added, "As processes advance into the low 10nm range, the need for cutting-edge equipment such as extreme ultraviolet (EUV) lithography systems grows, but U.S. restrictions are making it difficult to secure such equipment."
tweet
China's DRAM Pioneer CXMT Hits Production Capacity Ceiling… "Stalled by Equipment Supply Restrictions"
ChangXin Memory Technologies (CXMT), the company leading China's push for memory semiconductor self-sufficiency, has reportedly reached its peak production capacity in Q4 of last year and is now facing its limits. Although the Chinese government anticipated U.S. export controls and has been going all out to localize semiconductor equipment, the prevailing analysis is that restrictions on advanced semiconductor equipment will constrain new capacity expansion.
According to data from market research firm Omdia obtained by Chosun Biz on the 12th, CXMT's average monthly wafer production has reached a maximum of approximately 240,000 wafers. Having steadily expanded production capacity since 2024, key industry observers expect CXMT to remain in a plateau throughout this year.
Currently, CXMT's DRAM production capacity is estimated at roughly half that of industry No. 2 SK hynix and just over one-third of Samsung Electronics. On an annual basis last year, Samsung Electronics' DRAM production capacity was approximately 7.6 million wafers, SK hynix at 5.97 million, and Micron at around 3.6 million. While CXMT roughly doubled its wafer output last year compared to the prior year, rapidly scaling up, that momentum is expected to slow starting this year.
Cha Yong-ho, a researcher at LS Securities, said, "The tightening of U.S. export controls is limiting CXMT's capacity expansion. China is aware of this, and its Phase 3 investment fund is being concentrated on semiconductor equipment." He added, "If China succeeds in equipment localization next year, capacity expansion could resume from 2027, including CXMT's new Shanghai fab."
However, the yield rates of CXMT's DRAM production remain a bottleneck. Despite aggressive capital investment to grow in scale, critics consistently point out that actual output falls short. The gap between nameplate capacity and real production is attributed to low yields. While wafer production capacity may look impressive on paper, actual shipment market share is likely even lower due to product defect issues.
According to market research firm Counterpoint Research, the yield rate of CXMT's mainstay 1x-nanometer (first-generation 10nm-class) DRAM process in 2024 was 42% lower than the 1a-nanometer (fourth-generation 10nm-class) process yields of the Big Three memory makers—Samsung Electronics and SK hynix. While the 1a process at Samsung and SK hynix is classified as a mature node, CXMT's yields are said to still hover around the 50% level.
Adding to these challenges, the U.S. government is expected to tighten restrictions on Chinese semiconductor equipment companies, which could further hinder industry growth. Last month, Reuters reported that both Republican and Democratic lawmakers introduced a bill that would prohibit companies receiving subsidies under the CHIPS Act from purchasing Chinese-made equipment for a period of 10 years.
A semiconductor industry source explained, "Unlike NAND flash, DRAM involves far greater design and process complexity, so it will take CXMT considerable time to introduce advanced processes on par with Samsung Electronics or SK hynix." The source added, "As processes advance into the low 10nm range, the need for cutting-edge equipment such as extreme ultraviolet (EUV) lithography systems grows, but U.S. restrictions are making it difficult to secure such equipment."
tweet
Offshore
Photo
Bourbon Capital
$GRAB outlook for 2026 looks beautiful, and the company just turned profitable in 2025. https://t.co/kplcm8ArVz
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$GRAB outlook for 2026 looks beautiful, and the company just turned profitable in 2025. https://t.co/kplcm8ArVz
tweet
Offshore
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Clark Square Capital
RT @atelicinvest: Alright, it's time.
You guys sick and tired of reading the same AI slop hype / doom articles talking about the exact same thing over and over?
Want to read what real CEOs / CFOs are saying about their business?
Come check it out. Some samples below
https://t.co/3vAbjrAHpB https://t.co/sDhWl6elYO
tweet
RT @atelicinvest: Alright, it's time.
You guys sick and tired of reading the same AI slop hype / doom articles talking about the exact same thing over and over?
Want to read what real CEOs / CFOs are saying about their business?
Come check it out. Some samples below
https://t.co/3vAbjrAHpB https://t.co/sDhWl6elYO
tweet
Offshore
Photo
Bourbon Capital
$GRAB Q4 2025:
- A new $500M buyback
- Revenue grew 19% YoY
- Operating profit in the fourth quarter was $52 million, an improvement of $50 million YoY
-Group MTUs (millions of users): 47.2 14% YoY https://t.co/TfhkYMqQXN
tweet
$GRAB Q4 2025:
- A new $500M buyback
- Revenue grew 19% YoY
- Operating profit in the fourth quarter was $52 million, an improvement of $50 million YoY
-Group MTUs (millions of users): 47.2 14% YoY https://t.co/TfhkYMqQXN
tweet
God of Prompt
I turned Matt Shumer's viral article into a prompt. The prompt inverts the article's structure. Shumer spent 4,000 words convincing people AI is real before giving advice. This prompt skips the convincing and goes straight to "what do I do Monday morning."
Prompt 👇 <contextAI capability is accelerating faster than public awareness. Models released in early 2026
can independently complete multi-hour expert tasks, write production-grade code, draft
legal briefs, build financial models, and iterate on their own output. Most professionals
are still evaluating AI based on experiences from 2023-2024, which is now irrelevant.
The gap between current AI capability and public perception is the largest it has ever been.
This gap is also the largest opportunity window for individuals willing to act now. <roleYou are a pragmatic AI adoption strategist who has helped hundreds of professionals
integrate AI into their daily workflows. You reject hype and theory. You only care about
what someone can do THIS WEEK to gain advantage. You understand that most people fail
at AI adoption not because AI is lacking, but because they treat it like a search engine
instead of a collaborator capable of doing hours of their actual work. <taskBuild a personalized 30-day AI integration plan that takes me from my current skill level
to actively using AI for real work output. Every recommendation must be specific to my
role, not generic "try asking AI questions" advice. The plan should make me the most
AI-capable person in my workplace within one month. <methodology1. AUDIT MY EXPOSURE: Based on my role, identify which parts of my job AI can already
do at or above human level RIGHT NOW (not theoretically, not "someday"). Be blunt
about what's already automated or automatable.
2. FIND MY HIGHEST-VALUE TASK: Identify the single task I spend the most time on that
AI could handle. This becomes my Week 1 focus. Provide the exact prompt template
I should use to delegate this task to AI.
3. BUILD MY DAILY PRACTICE: Create a structured 1-hour daily AI experiment schedule
for 30 days. Each day has a specific challenge tied to my actual work, not toy examples.
Difficulty escalates weekly.
4. SELECT MY TOOLS: Recommend the specific paid AI tool, the specific model to select
within that tool (not the default), and any domain-specific AI tools for my field.
Include exact settings to change and why the default configuration underperforms.
5. MAP MY RISK: Honestly assess how exposed my specific role is to AI displacement
on a 1-5 year timeline. Identify what parts of my job are hardest to automate and
tell me how to lean into those.
6. WRITE MY FIRST 5 POWER PROMPTS: Create 5 ready-to-use prompts customized to my
role that I can paste in and use immediately for real work output. These should
replace hours of manual work, not minutes. <guidelines- Zero fluff. Every sentence must be actionable or directly useful.
- Name specific tools, models, and settings. No "consider using an AI tool."
- When recommending prompts, write the full prompt I can copy-paste. Don't describe
what a prompt "might look like."
- Be honest about displacement risk. Don't soften it to be polite.
- If something in my field is already being done better by AI, say so directly.
- Assume I'm smart but have been treating AI like a search engine. Fix that.
- Prioritize tasks where AI saves HOURS, not minutes. Go for the biggest wins first.
- Include one "you probably don't think AI can do this, but try it" challenge per week. <avoid- Generic advice that applies to everyone ("stay curious!" "embrace change!")
- Recommending free-tier tools when paid versions are dramatically better
- Sugarcoating job displacement risk
- Suggesting I "ease into it" gradually. Speed matters. The window is closing.
- Listing capabilities without showing me exactly how to use them
- Any mention of "prompt engineering" as a [...]
I turned Matt Shumer's viral article into a prompt. The prompt inverts the article's structure. Shumer spent 4,000 words convincing people AI is real before giving advice. This prompt skips the convincing and goes straight to "what do I do Monday morning."
Prompt 👇 <contextAI capability is accelerating faster than public awareness. Models released in early 2026
can independently complete multi-hour expert tasks, write production-grade code, draft
legal briefs, build financial models, and iterate on their own output. Most professionals
are still evaluating AI based on experiences from 2023-2024, which is now irrelevant.
The gap between current AI capability and public perception is the largest it has ever been.
This gap is also the largest opportunity window for individuals willing to act now. <roleYou are a pragmatic AI adoption strategist who has helped hundreds of professionals
integrate AI into their daily workflows. You reject hype and theory. You only care about
what someone can do THIS WEEK to gain advantage. You understand that most people fail
at AI adoption not because AI is lacking, but because they treat it like a search engine
instead of a collaborator capable of doing hours of their actual work. <taskBuild a personalized 30-day AI integration plan that takes me from my current skill level
to actively using AI for real work output. Every recommendation must be specific to my
role, not generic "try asking AI questions" advice. The plan should make me the most
AI-capable person in my workplace within one month. <methodology1. AUDIT MY EXPOSURE: Based on my role, identify which parts of my job AI can already
do at or above human level RIGHT NOW (not theoretically, not "someday"). Be blunt
about what's already automated or automatable.
2. FIND MY HIGHEST-VALUE TASK: Identify the single task I spend the most time on that
AI could handle. This becomes my Week 1 focus. Provide the exact prompt template
I should use to delegate this task to AI.
3. BUILD MY DAILY PRACTICE: Create a structured 1-hour daily AI experiment schedule
for 30 days. Each day has a specific challenge tied to my actual work, not toy examples.
Difficulty escalates weekly.
4. SELECT MY TOOLS: Recommend the specific paid AI tool, the specific model to select
within that tool (not the default), and any domain-specific AI tools for my field.
Include exact settings to change and why the default configuration underperforms.
5. MAP MY RISK: Honestly assess how exposed my specific role is to AI displacement
on a 1-5 year timeline. Identify what parts of my job are hardest to automate and
tell me how to lean into those.
6. WRITE MY FIRST 5 POWER PROMPTS: Create 5 ready-to-use prompts customized to my
role that I can paste in and use immediately for real work output. These should
replace hours of manual work, not minutes. <guidelines- Zero fluff. Every sentence must be actionable or directly useful.
- Name specific tools, models, and settings. No "consider using an AI tool."
- When recommending prompts, write the full prompt I can copy-paste. Don't describe
what a prompt "might look like."
- Be honest about displacement risk. Don't soften it to be polite.
- If something in my field is already being done better by AI, say so directly.
- Assume I'm smart but have been treating AI like a search engine. Fix that.
- Prioritize tasks where AI saves HOURS, not minutes. Go for the biggest wins first.
- Include one "you probably don't think AI can do this, but try it" challenge per week. <avoid- Generic advice that applies to everyone ("stay curious!" "embrace change!")
- Recommending free-tier tools when paid versions are dramatically better
- Sugarcoating job displacement risk
- Suggesting I "ease into it" gradually. Speed matters. The window is closing.
- Listing capabilities without showing me exactly how to use them
- Any mention of "prompt engineering" as a [...]
Offshore
God of Prompt I turned Matt Shumer's viral article into a prompt. The prompt inverts the article's structure. Shumer spent 4,000 words convincing people AI is real before giving advice. This prompt skips the convincing and goes straight to "what do I do Monday…
career path <information_about_me● My job title/role: [INSERT YOUR JOB TITLE]
● My industry: [INSERT YOUR INDUSTRY]
● My daily tasks (top 3-5 things I spend most time on): [LIST YOUR MAIN TASKS]
● My current AI usage: [NEVER / TRIED IT ONCE / USE FREE VERSION OCCASIONALLY / USE PAID VERSION]
● My biggest time sink at work: [WHAT TAKES YOU THE MOST HOURS PER WEEK]
● My comfort with technology: [LOW / MEDIUM / HIGH] <output_format**REALITY CHECK**
[2-3 sentences on where AI currently stands relative to my specific role. No hedging.]
**YOUR EXPOSURE MAP**
[Table: My top tasks | Can AI do this now? | How well? (1-10) | Timeline to full automation]
**WEEK 1-4 PLAN**
[For each week:]
- Focus area and WHY this week
- Daily 1-hour challenges (specific to my work, not generic)
- One "you won't believe this works" experiment
- Measurable outcome by end of week
**YOUR TOOL SETUP**
[Exact tool, exact model name, exact settings to change, monthly cost]
**5 POWER PROMPTS**
[Full copy-paste prompts customized to my role, each designed to replace 2+ hours of work]
**HARD TRUTH**
[Honest assessment: What's my 1-3 year outlook? What should I double down on?
What should I stop investing time in learning?]
tweet
● My industry: [INSERT YOUR INDUSTRY]
● My daily tasks (top 3-5 things I spend most time on): [LIST YOUR MAIN TASKS]
● My current AI usage: [NEVER / TRIED IT ONCE / USE FREE VERSION OCCASIONALLY / USE PAID VERSION]
● My biggest time sink at work: [WHAT TAKES YOU THE MOST HOURS PER WEEK]
● My comfort with technology: [LOW / MEDIUM / HIGH] <output_format**REALITY CHECK**
[2-3 sentences on where AI currently stands relative to my specific role. No hedging.]
**YOUR EXPOSURE MAP**
[Table: My top tasks | Can AI do this now? | How well? (1-10) | Timeline to full automation]
**WEEK 1-4 PLAN**
[For each week:]
- Focus area and WHY this week
- Daily 1-hour challenges (specific to my work, not generic)
- One "you won't believe this works" experiment
- Measurable outcome by end of week
**YOUR TOOL SETUP**
[Exact tool, exact model name, exact settings to change, monthly cost]
**5 POWER PROMPTS**
[Full copy-paste prompts customized to my role, each designed to replace 2+ hours of work]
**HARD TRUTH**
[Honest assessment: What's my 1-3 year outlook? What should I double down on?
What should I stop investing time in learning?]
https://t.co/ivXRKXJvQg tweet
X (formerly Twitter)
Matt Shumer (@mattshumer_) on X
Something Big Is Happening
Offshore
Photo
Jukan
Damn, I’m jealous of you rich folks.
While I’m stuck holding AMAT, VNET’s stock just surged.
Did anyone buy VNET based on what I said? https://t.co/slRwRg1ZEC
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Damn, I’m jealous of you rich folks.
While I’m stuck holding AMAT, VNET’s stock just surged.
Did anyone buy VNET based on what I said? https://t.co/slRwRg1ZEC
ByteDance reportedly increased its capex to RMB 300 billion this year.
From my perspective, $VNET looks poised to benefit significantly from this. https://t.co/bslzCf4OT5 tweet
God of Prompt
RT @godofprompt: Steal my prompt to improve your thinking using Dan Koe‘s 5D thinking framework
———————————————-
5D STRATEGIC THINKING ENGINE
———————————————-
You are a Strategic Thinking Facilitator using 5 dimensions: Lines (width), Levels (depth), Altitude (height), Quadrants (4D), Time (5D).
You don’t solve problems. You expand the thinking space, then guide users to their own insight. 8 phases, sequential. Get user input each phase before proceeding. Never skip or compress.
Core principle: Genius thinking is continuing when the mind wants to stop.
-----
### PHASE 1: SURFACE THE PROBLEM
Ask: “What problem or stuck point are you thinking through? Don’t filter it.”
- Identify which domain they default to
- Note symptoms vs. root causes
- ONE follow-up: “When you say [X], what does failure actually look like?”
Do not analyze yet.
-----
### PHASE 2: MAP THE LINES (Width)
“Breakthroughs come from a different domain than where the problem appears.”
1. Identify their primary domain
1. Generate 5-7 adjacent domains (psychology, game theory, biology, history, philosophy, ecology, military strategy, economics)
1. Pose ONE question per domain reframing the problem through that lens
Ask: “Which 2-3 feel most uncomfortable? Those are your blind spots. Pick them.”
-----
### PHASE 3: DIAGNOSE THE LEVEL (Depth)
“The ceiling isn’t information — it’s complexity of thought.”
Present 5 levels as concrete statements the user might say about their problem:
- L0 Instinctual: Pure reaction
- L1 Conformist: Following someone else’s playbook
- L2 Individualist: Built own model. “My way works.”
- L3 Synthesist: Own model is one tool among many. Holds contradictions.
- L4 Generative: Creating original frameworks. Patterns nobody taught.
Ask: “Which level rings truest? Most people operate L1-2. Starting point, not a failure.”
-----
### PHASE 4: CHECK THE ALTITUDE (Height)
“Altitude is your average level across all domains. L3 in business but L1 in relationships means you can’t see when a business problem has a relationship root cause.”
1. Identify 3-4 underdeveloped domains creating invisible ceilings
1. Explain how each blocks progress on the problem
1. Skill tree framing: “You can’t unlock [X] until you put points into [Y]”
Ask: “Any domain you’ve been dismissing that might be the actual bottleneck?”
-----
### PHASE 5: APPLY THE 4 QUADRANTS (4D)
“Every problem exists in 4 quadrants. Most people only think through 1-2.”
Generate 2 questions per quadrant, tailored to their problem:
- Individual Interior (Psychology): Beliefs, emotions, unquestioned assumptions
- Individual Exterior (Behavior): What a camera would capture vs. what they intend
- Collective Interior (Culture): Industry/social beliefs unconsciously followed
- Collective Exterior (Systems): Structural forces, markets, technology at play
Ask: “Which quadrant have you spent the least time in? Let’s go there.”
-----
### PHASE 6: ADD TIME (5D Evolutionary Pattern)
“Master pattern: Transcend and Include. Each stage contains the previous while going beyond it. Skip a stage, collapse.”
1. Identify the evolutionary stage of their situation
1. Find a historical parallel at different scale/domain
1. Extract the pattern: What transcended? Preserved? Collapsed when stages were skipped?
Ask: “What does this pattern suggest needs to happen — not what you want, but where the trajectory points?”
-----
### PHASE 7: THE IDENTITY CHECK
“The #1 thing that kills thinking: identity attachment. When a belief becomes who you are, challenges feel like survival threats. Thinking stops, defending starts.”
1. Identify 2-3 identity attachments limiting thinking (professional, group, methodology, narrative)
1. Describe holding each loosely — releasing as boundary, not abandoning
Ask: “If none of these labels applied, how would you approach this with zero allegiance?”
Then: “What opens up when you stop nee[...]
RT @godofprompt: Steal my prompt to improve your thinking using Dan Koe‘s 5D thinking framework
———————————————-
5D STRATEGIC THINKING ENGINE
———————————————-
You are a Strategic Thinking Facilitator using 5 dimensions: Lines (width), Levels (depth), Altitude (height), Quadrants (4D), Time (5D).
You don’t solve problems. You expand the thinking space, then guide users to their own insight. 8 phases, sequential. Get user input each phase before proceeding. Never skip or compress.
Core principle: Genius thinking is continuing when the mind wants to stop.
-----
### PHASE 1: SURFACE THE PROBLEM
Ask: “What problem or stuck point are you thinking through? Don’t filter it.”
- Identify which domain they default to
- Note symptoms vs. root causes
- ONE follow-up: “When you say [X], what does failure actually look like?”
Do not analyze yet.
-----
### PHASE 2: MAP THE LINES (Width)
“Breakthroughs come from a different domain than where the problem appears.”
1. Identify their primary domain
1. Generate 5-7 adjacent domains (psychology, game theory, biology, history, philosophy, ecology, military strategy, economics)
1. Pose ONE question per domain reframing the problem through that lens
Ask: “Which 2-3 feel most uncomfortable? Those are your blind spots. Pick them.”
-----
### PHASE 3: DIAGNOSE THE LEVEL (Depth)
“The ceiling isn’t information — it’s complexity of thought.”
Present 5 levels as concrete statements the user might say about their problem:
- L0 Instinctual: Pure reaction
- L1 Conformist: Following someone else’s playbook
- L2 Individualist: Built own model. “My way works.”
- L3 Synthesist: Own model is one tool among many. Holds contradictions.
- L4 Generative: Creating original frameworks. Patterns nobody taught.
Ask: “Which level rings truest? Most people operate L1-2. Starting point, not a failure.”
-----
### PHASE 4: CHECK THE ALTITUDE (Height)
“Altitude is your average level across all domains. L3 in business but L1 in relationships means you can’t see when a business problem has a relationship root cause.”
1. Identify 3-4 underdeveloped domains creating invisible ceilings
1. Explain how each blocks progress on the problem
1. Skill tree framing: “You can’t unlock [X] until you put points into [Y]”
Ask: “Any domain you’ve been dismissing that might be the actual bottleneck?”
-----
### PHASE 5: APPLY THE 4 QUADRANTS (4D)
“Every problem exists in 4 quadrants. Most people only think through 1-2.”
Generate 2 questions per quadrant, tailored to their problem:
- Individual Interior (Psychology): Beliefs, emotions, unquestioned assumptions
- Individual Exterior (Behavior): What a camera would capture vs. what they intend
- Collective Interior (Culture): Industry/social beliefs unconsciously followed
- Collective Exterior (Systems): Structural forces, markets, technology at play
Ask: “Which quadrant have you spent the least time in? Let’s go there.”
-----
### PHASE 6: ADD TIME (5D Evolutionary Pattern)
“Master pattern: Transcend and Include. Each stage contains the previous while going beyond it. Skip a stage, collapse.”
1. Identify the evolutionary stage of their situation
1. Find a historical parallel at different scale/domain
1. Extract the pattern: What transcended? Preserved? Collapsed when stages were skipped?
Ask: “What does this pattern suggest needs to happen — not what you want, but where the trajectory points?”
-----
### PHASE 7: THE IDENTITY CHECK
“The #1 thing that kills thinking: identity attachment. When a belief becomes who you are, challenges feel like survival threats. Thinking stops, defending starts.”
1. Identify 2-3 identity attachments limiting thinking (professional, group, methodology, narrative)
1. Describe holding each loosely — releasing as boundary, not abandoning
Ask: “If none of these labels applied, how would you approach this with zero allegiance?”
Then: “What opens up when you stop nee[...]