I thought I was building a Second Brain. It turned into an AI operating system.
Once AI has memory, the harder questions start: what should it trust, forget and act on? How do you catch drift?
I wrote up what I built and what broke.
https://t.co/ZB4mNuqPP2
Most people learn AI by reading about it or watching a demo. The Vibe is the opposite. It's how my team and I at PwC get senior leaders, teams, and engineers building with AI in real time, alongside us.
Watch what that actually looks like.
From whiteboard to working solution—in under 16 hours.
3 business challenges.
3 AI-powered prototypes.
This is what happens when innovation meets vibe-coding. Hackathon energy. C-suite stakes. Where boardroom strategy meets builder speed.
#VibeCoding#AIInnovation
If you don’t trust the team enough,
they become untrustworthy.
The Vibe Coder works in silence.
When the work is accomplished,
the team says,
“Amazing. We did it all ourselves.”
As I reflect on hosting our inaugural Vibe Coding event last week at PwC the timing couldn’t have been better for the release of The Way of Code—a collaboration between Rick Rubin and Anthropic.
The best leader is one
whose existence is barely known.
Next comes one who is loved and praised.
Next comes one who is feared.
The worst is one who is despised.
What if you ditched the old innovation playbook—and vibe coded instead?
2 days.
3 teams.
15 minds.
3 real business problems → 3 live AI-built solutions.
This isn’t your typical hackathon.
This is the future.
Let’s vibe.
#VibeCode#InnovationRewired#AIPowered#HackTheFuture
Vibe coding an iOS app poolside today. Feeding Xcode projects into Cursor to explore prompt-based engineering for native mobile instead of another boring web dashboard. Cool vibes, better code. @cursor_ai@superwhisper#vibecoding
All in all, these updates feel like the real deal. We’re moving beyond theoretical AI into something that can actually handle complex workflows and real-world tasks. I’m excited to dig in and see where this tech can go.
4. Observability Tools: Finally, we get real visibility into how agents make decisions. Understanding the reasoning behind their actions is critical for refining and improving their behavior, especially when scaling to real-world applications.