Leveraging AI
242 | Inside the Friday AI Hangouts: Real-World Wins, Woes & WTF Moments with AI
Leveraging AI
•November 18, 2025•33 min
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Leveraging AI•Nov 18, 2025
Key Takeaways
- •Friday AI Hangouts provide weekly AI knowledge sharing.
- •Projects offer memory and file uploads, unlike custom GPTs.
- •Make.com simplifies automation compared to complex n8n setup.
- •Sharing permissions for projects were recently added in ChatGPT.
- •Claude skills act as modular, reusable AI prompts.
Pulse Analysis
The Leveraging AI podcast showcases the Friday AI Hangouts, a global community where 15‑25 professionals gather each week to exchange practical AI tactics, from custom GPT prototypes to real‑world automation challenges. Participants discuss migrating custom GPTs into ChatGPT Projects, highlighting Projects’ built‑in memory, conversational flexibility, and larger file capacities—features that address the static nature of traditional custom GPTs. This shift reflects a broader industry move toward more dynamic, context‑aware AI assistants that evolve with ongoing interactions.
Automation tools dominate the conversation, with members comparing Make.com, n8n, and Zapier. Users praise Make’s intuitive UI and rapid onboarding, noting it requires only credential entry, while n8n demands cloud configuration and extensive permissions, creating a steep learning curve. The community shares thousands of pre‑built templates, enabling rapid assembly of workflows without coding expertise. This collaborative template ecosystem reduces trial‑and‑error, turning frustrating script attempts into streamlined processes and underscoring the value of shared resources in accelerating AI‑driven productivity.
Claude’s new "skills" feature receives attention as a modular prompt library, allowing users to create, import, and reuse custom instruction sets across projects. By turning brand guidelines or document styles into reusable skills, teams can maintain consistency while leveraging AI’s generative power. Recent updates also enable project sharing and granular permission controls in ChatGPT, fostering collaborative development while protecting underlying data. Together, these insights illustrate how community‑driven learning, flexible AI project structures, and accessible automation platforms are reshaping how businesses adopt and scale AI solutions.
Episode Description
Is AI supposed to make things easier… so why does it feel like chaos?
You’re not alone. In this special episode of Leveraging AI, we invite you into the room where the real conversations happen — our live, unfiltered Friday AI Hangouts.
Hear real business people share what’s working, what’s breaking, and what’s making them want to throw their laptops across the room.
💡 Whether you’re a solopreneur, in a scaling team, or inside a major enterprise — these discussions will sound very familiar.
One takeaway? The learning curve is real. But the gold is in the room.
🎯 In this session, you'll discover:
Why AI Projects are replacing Custom GPTs — and when you shouldn’t switch
How business pros are using Claude skills, Comet browser, and Make.com to automate faster
The difference between frustration and progress when implementing agents
What goes wrong when AI makes up your part numbers (yes, really)
How to choose between N8N, Make, and Zapier — without wasting weeks
The one piece of advice for managing large AI-driven data systems
Real talk: Why AI tools still fail — and how to debug smarter, not harder
This episode features you — the voices of our global AI business community. Want to be in the next one?
Join our next Friday AI Hangout, open to all.
👉 Register here (https://services.multiplai.ai/events0) — it’s free, it’s fun, and it’s the realest AI talk you'll find anywhere.
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Show Notes
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