4 hours of GTM work → 15 minutes
My simple workflow
This year has been amazing for me personally and professionally. We grew 300%, yeah!
Thank you for all of your amazing support across Youtube and for the Podcast. As part of of my recovery/planning so that we can to 10x next year, I am taking a month off from the Podcast and/or Youtube videos. I have been podcasting straight for 5 years and I think I need to slow down to speed up.
Expect to see us take things to the next level next year and once again, THANK YOU for all of your support. It means more to me than you ever could know.
Ryan
Now Back to our normal newsletter!
The 16x Productivity Multiplier

4 hours of GTM work → 15 minutes. Same outcome. ~2x quality.
Here's what one AI workflow did for me last week:
The Workflow (all in a single thread):
Follow-up email with clear actions for the prospect- EMAIL CUSTOM GPT
Deal coaching on how qualified it was through MEDDICC-style criteria-DEAL COACH CUSTOM GPT
Next best actions based on my notes and pipeline context-DEAL COACH CUSTOM GPT
Full proposal in my branding, with all the details tightened up- GAMMA
⏱️ ~15 minutes
Total time invested
Old way: 3–4 hours of deep work.
Quality: Better structure, cleaner narrative, stronger visuals than if I white-knuckled it myself.
This is why I think we need a new standard for AI ROI.
Not "I paid $100 for licenses, where's my $40K?"
But:
✓ Hours collapsed per workflow
✓ Quality lift vs manual
✓ Capacity unlocked per rep per week
The beautiful thing about it was that it wasn't a complex Agent build.
It was a stacked workflow of 2 tools.
BTW, this is only ONE workstream. These opportunities are EVERYWHERE around you.
Start small, move fast, implement, repeat.
📰 📰 This Week's Top 7 AI Stories
Curated from VentureBeat, TechCrunch, CNBC, WSJ & More
1
Amazon Web Services announced three new "Frontier agents" that represent a breakthrough in autonomous AI development. Kiro, the coding agent, can work independently for hours or days without human intervention, handling complex software development tasks end-to-end. This marks a significant shift from AI assistants to truly autonomous AI workers.
TechCrunch • Dec 2, 2025
2
Sam Altman issued an internal "code red" memo to improve ChatGPT quality after Google's Gemini 3 launch caused OpenAI to lose 6% of its user base in just one week. The company is delaying planned features like advertising and AI agents to focus on core product improvements. This signals intensifying competition in the AI race.
Wall Street Journal • Dec 2, 2025
3
Google's Gemini 3 Pro achieved a dramatic trust improvement in blinded testing, jumping from 16% to 69%. The new "Deep Think" mode is now available for AI Ultra subscribers, enabling advanced reasoning capabilities. Gemini was also Google's top trending search term globally in 2025, signaling massive consumer interest.
VentureBeat & Google Blog • Dec 3, 2025
4
New research from Gong reveals that sales teams leveraging AI tools are seeing massive productivity gains, with 77% higher revenue per representative. The study highlights how AI-powered workflows are transforming GTM operations, automating deal coaching, proposal generation, and follow-up communications while improving quality.
VentureBeat • Dec 4, 2025
5
Nvidia and the University of Hong Kong released Orchestrator, an 8-billion-parameter AI model that coordinates multiple tools and LLMs to solve complex problems. Despite its smaller size, it achieved higher accuracy at lower cost than much larger models in tool-use benchmarks, proving that efficiency matters more than raw parameter count.
VentureBeat • Dec 3, 2025
6
Microsoft slashed its AI sales growth targets in half after salespeople consistently missed quotas. Enterprise customers remain skeptical of "unproven agents" despite Microsoft declaring "the era of AI agents" in May 2025. This reveals a significant gap between AI hype and enterprise adoption reality.
Ars Technica • Dec 3, 2025
7
Harvard Business Review argues that companies focusing solely on U.S. and Chinese AI ecosystems are missing emerging opportunities. While the U.S. benefits from venture capital and light regulation, and China from government investment, other regions are developing unique AI advantages that forward-thinking companies should leverage.
Harvard Business Review • Dec 2, 2025