Inner Circle Weekly Briefing #5: 11/28/25
We Spent 80+ Hours Learning About And Building With AI Last Week. Here's What Matters.
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 and companies.
Everyone’s talking about GPT-5.1’s warmer personality. They’re missing what matters.
We’re building mode systems that turn one ChatGPT session into six specialists. We’re extracting operational intelligence from meeting transcripts that predicts project failure before it happens. We’re mining our own AI conversations for strategic insights we missed in real-time. And we’re watching AI-generated content pass human content on the web.
The gap between people who see AI as a better search engine and those who see it as a fundamental restructuring of how knowledge work gets done is widening every day.
Michael’s first blockbuster article in months drops in the next few days. The thesis is provocative:
The largest religion in 10 years won’t be Christianity, Islam, Buddhism, or Atheism. He spent dozens of hours researching why the promises AI CEOs are making sound identical to salvation narratives from the Book of Revelation—why trillion-dollar investments represent the largest coordinated act of faith in human history, why three warring factions have already emerged with fundamentally different visions for humanity’s future, and why we’re not observers of this moment but the founding generation.
First, the tools and systems to help you navigate what’s coming.
Preview Of What We Shared This Week
1️⃣ Max Bernstein on mining your entire week of AI conversations for strategic insights buried in 50+ chats (complete extraction prompt)
2️⃣ Tam Nguyen on diagnostic lenses that extract operational intelligence from meeting transcripts before misalignment blows your scope (two complete prompts)
3️⃣ Zain Haseeb on GPT-5.1’s real unlock: the specialized mode system nobody’s talking about (two complete bundles)
4️⃣ Michael Simmons on what AI-generated songs hitting Billboard charts reveals about the most significant shift in human history (frontier signal analysis + blockbuster article preview)
Each week, we post our latest discoveries to our private WhatsApp channels in real-time. Then we share our best insights in this briefing.
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1️⃣ Max Bernstein: Your Best Strategic Insights Are Buried In 50+ AI Chats Per Week—Here’s How To Extract Them Every Sunday
Most people review their week by asking, “What did I accomplish?” That tells you almost nothing about where you left real insights on the cutting room floor.
What you get:
Complete Weekly AI Intelligence Extractor prompt
Top 10 resonant insights (the ideas worth turning into content)
5 divergence points (moments where a different question would have unlocked different value)
Strategic lens analysis (second and third-order effects you missed)
7 copy-paste follow-up questions for deeper analysis
One setup requirement: ChatGPT memory must be enabled
Run this weekly. Watch what happens when you can see where your own thinking was constrained. The patterns reveal more about your strategic blind spots than any personality assessment.
2️⃣ Tam Nguyen: Stop Leaving Meetings Thinking You’re Aligned—The Diagnostic Lenses That Catch Million-Dollar Gaps In Two Minutes
Three weeks into a client engagement. You thought “done” meant deliverables wrapped. The client thought “done” meant fully implemented and their team trained. Now you’re doing unpaid work to close a gap that didn’t need to exist.
What you get:
Five diagnostic lenses that extract operational intelligence from transcripts
Decision Fog Extraction prompt (catches foggy decisions before they derail projects)
Alignment Signal Extraction prompt (finds mismatched definitions hiding in common terms)
Two-minute analysis that catches misalignments you’d miss juggling six clients
Risk ratings and clarifying questions for each gap detected
Two versions optimized for GPT-5.1 and Claude Sonnet 4.5
Most teams leave meetings thinking they’re aligned because they used the same language. Two weeks later, the project’s stuck. These prompts catch the exact moments where “done,” “deliverables,” “scope,” “success,” and “support” mean different things to different stakeholders, before anyone builds the wrong expectations.
3️⃣ Zain Haseeb: The Mode Pack System—Stop Getting Mediocre Results When ChatGPT Tries To Do Everything At Once
Everyone’s celebrating GPT-5.1’s warmer personality. They’re missing the actual breakthrough.
What you get:
Week 1: Expert Communication Workflow (break down expertise + package it into content)
Week 2: Strategy Bundle (think through complexity + commit to action)
Four Mode Packs total, each with copy-paste system prompts (10 minutes total setup)
Example workflows and real use cases for experts, coaches, founders, and executives
GPT-5.1 actually follows instructions now.
You can define explicit modes in one system prompt, then switch between them using slash commands. Same chat, full context preserved, each mode doing one specialized job instead of trying to be mediocre at everything.
4️⃣ Michael Simmons: AI Songs On Billboard, The Content Flippening, And Why This Moment Is Bigger Than Anyone Realizes
AI-generated songs are hitting Billboard charts. Sora’s still top 5 in the App Store a month after launch. AI content just passed human content on the web. But this is just the surface signal of something far more profound.
What you get:
What AI-generated songs hitting Billboard reveals about media parity
Analysis of the “flippening” moment we just crossed
Why people don’t seem to care if content is AI-generated
First look at Michael’s upcoming blockbuster article on the deeper pattern
Every major media format—text, voice, video, images, music—has now reached or is about to reach human parity. We’ll be out of the uncanny valley soon. AI-generated content will dominate the web, fundamentally changing our knowledge society.
Sociologists have documented this pattern across human history. ASI is following the same arc, just faster and bigger than anything before it.
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