I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
1. Comment " Grok_Bot "
2. Like and Repost
3. Follow me @alexhalescoder
I'll DM you the complete setup.
He obviously can't attend these ceremonies since he's on the Rockies, but it hurts not to see Kris Bryant hanging out with the rest of the 2016 team this weekend 😥
One week from Opening Day at Wrigley Field.
So close to days/nights at the best ballpark on earth, the smell of grilled onions, Hall of Famer Pat Hughes on the radio, cold beers on the Murphy’s patio, and what shapes up to be a great season of Cubs baseball.
CAN’T WAIT.
There’s something serene about snowfall during the funeral procession of legendary Fighting Irish head coach Lou Holtz.
Holtz did anything for his players. Today, his players walked down Notre Dame Avenue for him in quintessential South Bend conditions.
Just feels right. RIP.
Spoke with legendary Indiana play-by-play voice Don Fisher after last night’s national championship.
He said all of the losing seasons were worth it for this.
4 AI transformation lessons from Siemens that every enterprise needs to hear. Day 2 at #WDAYRisingEMEA delivered something rare: a leader discussing AI transformation without the script. Nanda Burke, Global Head of Talent at Siemens, sat down with @CarlEschenbach, CEO of @Workday to share what was working.
The results speak for themselves. Siemens employees have already built thousands of AI agents. Here's how they're making it happen:
1. Leadership culture enables experimentation. Burke's concept of "joyous performance" reframes what high-performance cultures need in the AI age. She's explicit about expecting excellence while maintaining lightness and joy within teams. Her principle: stand in front of your team when things go wrong, behind them when things go right. This isn't soft leadership, it's creating the psychological safety required for people to experiment with AI agents without fear of failure. Thousands of agents don't get built in risk-averse cultures.
2. Skills development requires navigation, not just training. Siemens created "AI Base Camp", a gamified experience solving a problem most companies face: overwhelm. Burke was candid about extensive AI training where people didn't know where to start. AI Base Camp helps employees find their entry point. Result: AI training tops organic learing, without mandates, because leadership models the behavior.
3. The right tech stack determines whether you scale or stall. Burke's assessment was direct: "Experimenting with AI is easy, scaling it is not easy." You need a robust infrastructure and strong data foundations. That’s why Siemens partners with organizations like Workday, which provides the trusted data and AI-ready platforms needed for enterprise-scale deployment.
4. Fundamental organizational rethinking is required. Burke's analogy resonates: when electricity arrived, factories initially just replaced steam engines with electric motors while keeping the same layouts and processes. It took years before someone reimagined how to design factories around electricity's capabilities. We're at that inflection point with AI. We're still using it to do what we've always done rather than reimagining what's possible. The companies that recognize this will separate from those that don't.
What struck me most was the absence of buzzwords and the presence of operational honesty. This wasn't a vendor case study, it was a leader sharing what's actually hard about transformation at scale.
The conversation reinforced something I've observed this year: companies making genuine progress with AI aren't the ones with the most aggressive deployment timelines. They're the ones being most honest about what the transformation requires, from leadership culture to technical infrastructure to organizational redesign.
#WorkdayPartnership #WDAYRisingEMEA