@horlharHamzat@KoloKennethK ๐๐๐ I just taya. Right left centre wahala. Why would you just want to rewrite the history and culture of a particular people badly?
@Progresskez@ansem_edet LOL ... Y'all know what you're doing. English isn't this hard for goodness sake!
$7B on what new project?
Is it the FG that is financing the project?
Which old ones are not working?
Venture Capital is adventure capital. You send 10 ships out and expect some to never come back. Private Equity says every ship comes back with gold.
Most African founders raised the wrong one for the business they were actually building. Which game are you playing?
@TOPBOI_GMI__@LaNRaY_SHeeRan 2. Beckham rejected Barca, hence, you guys went for Dinho, & this was after Madrid had abandoned the prospect of signing him for Beckham because of his global marketing appeal.
He rejected your several offers, saying it's Madrid or no other.
Well, y'all lie to y'selves a lot.
@TOPBOI_GMI__@LaNRaY_SHeeRan ๐คฃ๐คฃ๐คฃYou guys like lying to yourselves. See how you twisted the stories.
1. Said Madrid offered more money for Neymar, whereas your club was later exposed for its corruption dealings with his father and agent. Bribery and corruption is the other name of your club.
1/2
What broke today while learning AI Agents?
Everything.
I spent hours debugging an agent that refused to call the right tool.
The issue wasn't the model.
It wasn't the API.
It wasn't the SDK.
It was my tool definition.
One tiny mistake caused the entire workflow to fail.
One of the most important concepts I've learned this week is Tool Calling.
Without tools, an LLM is limited to what it already knows.
With tools, it can:
โข Query databases
โข Call APIs
โข Send emails
โข Create tickets
โข Fetch documents
โข Update business systems
Whatever your hand finds to do, do it with all your might, for in the realm of the dead, where you are going, there is neither working nor planning nor knowledge nor wisdom. Eccl. 9:10
@Keemah_00 Are people just messing around in the comment or are they for real?
Nothing hard here nao. Except you aren't a Madrid fan or not one before this time
Khedira
Today I built my first AI Agent.
Not a chatbot.
An actual agent capable of deciding when to use tools to accomplish a task.
One of the biggest mindset shifts I've had is understanding the difference between:
โ Prompting an LLM
and
โ Building an AI Agent
It's about time I transitioned into AI Agentic and Integration Engineering. I'll be documenting my learning journey, projects, challenges, and milestones here. Looking forward to building and sharing along the way.
A prompt asks a model for an answer.
An agent can:
โข Analyze requests
โข Decide what actions to take
โข Call tools
โข Process results
โข Continue reasoning until the task is complete
The future isn't just AI-generated text.
It's AI systems that can take action.
It's about time I transitioned into AI Agentic and Integration Engineering. I'll be documenting my learning journey, projects, challenges, and milestones here. Looking forward to building and sharing along the way.