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Today I moved from a simple workflow to building a more advanced AI agent and this is where things started to feel real.
Here’s what I built
• An AI agent that can understand user questions
• Connected it to a knowledge base from GitHub
• Added a calculator tool for pricing logic
• Built a quote generator to create structured outputs
• Integrated Gmail to prepare and send responses
What this means
This is no longer just answering questions
This is an AI system that can support real business processes like sales, pricing, and client communication
What stood out for me today
• AI is about connecting systems, not just prompts
• Each tool plays a role in the overall flow
• Debugging is part of the process and it sharpens your thinking
The most interesting part
The agent can now:
Understand a request → calculate pricing → generate a quote → prepare it for sending
This is Day 2 of my 20-day build journey
I’m not focused on perfection
I’m focused on consistency and real progress
If you’re building in AI, automation, or looking to understand how these systems work in real life, let’s connect
#AI #n8n #Automation #BuildInPublic #LearningInPublic #TechJourney
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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A few years ago, writing code meant wrestling with bugs line by line, Googling errors at 2 a.m., and slowly learning why things worked. Today?
An AI can write, debug, and optimize code in seconds.
It feels like magic.
But here’s the uncomfortable truth I keep noticing: many developers are using AI every day without really understanding what’s happening under the hood.
I’ve seen it firsthand.
When the AI output works, everything feels smooth. But the moment it breaks… confusion kicks in. Why did it fail?
Why is the behavior inconsistent?
Why doesn’t this solution scale?
According to recent studies, more than 70% of developers admit they rely on AI tools without deeply understanding how they work. And that gap matters.
Because when you don’t understand the system, you can’t truly control it. You can’t debug confidently. You can’t optimize intentionally.
And innovation turns into guesswork. AI isn’t here to replace thinking — it’s here to amplify it.
When developers understand the foundations behind AI — how models learn, why outputs differ, where limitations exist — something powerful happens.
We stop treating AI like a black box and start using it as a creative partner. That’s where real progress lives. Not just in faster code, but in better decisions, ethical use, and stronger software.
As AI continues to evolve, our responsibility grows with it.
The goal isn’t to keep up. The goal is to understand — and then build something better.AI should be a tool we guide, not one we blindly follow.
hahaa
⭐ Fresh 5-star review, and a repeat client. Here's what they said:
"I have worked on some projects with Adam, and every experience has been great. He has gone above and beyond for all the projects." - samiha09, United States 🇺🇸
That's what I show up for every time.
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Just got my Zo Computer fully running and it’s exactly what I’ve been looking for as a founder building AI-native SaaS.
No more self-hosting headaches, security nightmares, or maintenance. Persistent AI agents, full cloud dev environment, always-on — and OpenClaw was literally built on top of this idea.
If you’re a builder, indie hacker, or just tired of juggling Claude + Cursor + servers, try Zo with my referral: https://bit.ly/ZO100VIP
Helps me keep shipping at raptorlabs.dev too!
Here's my ZO Space: http://contra.zo.space -> hackaton submission link still not disclosed so don't consider this as the submission 😉
Still not too late to join hackaton 👉 https://on.contra.com/bCC98z
#zocomputerchallenge
@contra x @zocomputer @Zoë Colivas @Ben Guo @Goran Novakovic
P.S. - Combining ZO with @Anything is a top choice! @Aleena Vigoda
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