Inner Circle Weekly Briefing: 10/29/25
We Spent 80+ Hours Learning About And Building With AI Last Week. Here's What Matters.
How The Inner Circle Helps You
Right now, the four of us are dedicating a combined 80+ hours per week testing AI tools, building workflows, and extracting patterns from real-world implementations with clients, Fortune 500 companies, and AI-first startups.
Each week, we post our latest discoveries to our private WhatsApp channels in real-time. Then, we share the best of what we learn and build in this briefing.
Previous Issues Of Inner Circle Briefing
🎁 Free Sample Of Resources We Share
To provide you a sample of what paid members receive, here’s the complete Scratchpad Framework created by Zain Haseeb from last week that you can use right now. It forces AI to show its complete reasoning process before answering - turning black box outputs into transparent, auditable thinking you can actually trust. Includes a 7-minute video walkthrough, public Perplexity Space to test immediately, and full implementation guide with prompts and examples.
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Preview Of What We Shared This Week
1. Max Bernstein On How To See The Expertise You’re Giving Away For Free
(comprehensive prompt included)
2. Tam Nguyen On How To Extract Coaching Intelligence From Transcripts In 60 Sec
(two prompts included)
3. Zain Haseeb On How To Convene Expert Councils That Catch Your Blind Spots
(comprehensive prompt included)
4. Michael Simmons On Why AI Relationships Beat AI Skills Alone
(in-depth article)
❶ Max Bernstein Shared The Framework That Forces You To See Your Invisible Expertise
(How To Find At Least 3 Things You Could Charge For That You’re Giving Away Right Now)
What You Get:
The Parallel Universe Analyzer: Shows how a 1-year amateur would fail, what other experts would miss, and what AI can’t replicate about your judgment
Intelligent Objectivity: Earl Nightingale’s concept applied to expertise extraction - see your work like a jealous stranger would
3-universe comparison: Side-by-side contrasts make your “nothing special” undeniable
5-minute protocol: Run any client transcript through the prompt and extract chargeable patterns
Why It Matters:
Your brain compressed years of pattern recognition into automatic responses that operate completely below your awareness. That’s your Cognitive Fingerprint, but you can’t charge for what you can’t see. Max’s framework forces this visibility by showing parallel universes where others would fail.
❷ Tam Nguyen Shared A System That Turns Any Coaching Call Transcript Into Structured Intelligence In 60 Seconds
(Find Breakthrough Moments, Client Commitments, Testimonial Highlights, And Your Next Session Strategy I The Transcript)
What You Get:
Two copy-paste prompts: One for internal analysis, one shareable with clients as session summaries
Structured extraction: Breakthrough moments with exact quotes, commitments for accountability, testimonial-ready highlights
Pattern recognition: Spot what’s working within sessions, no more 20-minute post-call scrambles
The bigger vision: Path to seeing patterns across your entire practice with RAG
Why It Matters:
A coach told us: “It would be amazing to see patterns across all my clients - what creates breakthroughs, what language actually works.” That’s the dream, but here’s what you can do right now. Tam built the system that extracts intelligence while you’re still on the call.
❸ Zain Haseeb Shared How To Convene Councils Of 5-7 World-Class Experts Who Debate Your Toughest Decisions
What You Get:
Expert panel simulation: Convene councils of world-class experts like Seth Godin, Nassim Taleb, and Reid Hoffman who challenge each other’s assumptions
Multi-perspective thinking: Reframe problems from different angles, surface blind spots you didn’t know existed
Listen mode ready: Use ChatGPT’s Read Aloud to hear councils debate like actual advisory board meetings
Real strategic depth: One expert might suggest a tactic. The Council catches the deeper issue.
Why It Matters:
Most people use ChatGPT for one perspective. Zain’s Mastermind Council simulates how different world-class experts would approach your problem, debate each other’s assumptions, and converge on strategic recommendations you can actually use.
❹ Michael Simmons Shared Why Solo AI Learning Is A Losing Strategy And The “AI Super Network” Framework That Explains Why Teams Are 6x More Likely To Break Through
(Plus Why NOW Is The Ideal Time To Build These Relationships)
What You Get:
The fundamental shift: From solo skill-building to building networks with 8 complementary AI specialties (AI Building + AI Thinking)
Academic research: Analysis of 20 million studies found teams 6x more likely than solo researchers to produce breakthrough work by 2000
Personal case study: How relationship building led to launching Cozora, transforming into a 5-partner studio, and building a $50k ARR newsletter in months
Free webinar tomorrow: Where to find AI builders, how to get in the door with one email, how to turn relationships into collaborations
Why It Matters:
Michael spent 120+ hours learning Make.com and lost subscribers. That’s when he realized staying on the AI frontier while growing a business requires a fundamentally different approach: relationship building, not just skill building.
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