i just dropped a full walkthrough on how i built and sold an AI agent for $5,000 in 24 hours
inside, i break down:
- the exact problem it solved and why they paid fast
- tools setup used to build it
- how I packaged and closed the deal in one day
reply "500" like repost and i’ll DM you the full breakdown.
(must be following)
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Built ai ad agents with:
sora2. nano banana. higgsfield. veo3.
what agencies charge $20k for…
and take 6 weeks to deliver…
now takes minutes and costs cents
last month those agents pulled $122k
this month we’re scaling toward $830k/month
200 ads daily.
flawless avatars.
zero agency fees.
rt comment "122k" and i’ll dm you the system
(must follow for dm)
Canva laptop internet 60 mins/day = $369 per day.
I created a step-by-step guide (normally $77).
Free for the next 24 hrs.
To get it:
• Follow me (so I can DM)
• Like & Repost
• Reply "Canva"
Final stage of the MLOpsZoomcamp is to mark and review other projects: 1st one done; some good stuff there but not all aspects of the code runs :( and only managed to get partial debugging
Third review, somewhere in the middle! Great work and variety from everyone - really interesting to explore their code. And an excellent reminder that code is READ more than it is written (especially if it doesn't run!) #MLOps
🚀 Yesterday I finished my student grade prediction project exploring how to build a full end-to-end MLOps showcase! From env management to monitoring, here’s what I learned:
This thread isn’t just about grades, it’s about building a complete, robust ML system: tracking experiments, orchestrating workflows, serving models, monitoring outputs, maintaining code quality, and automating deployment.
Kicked off this years MLOps Zoomcamp!
⚙️ Week 1 of the Zoomcamp was all about setting up our systems and training an ML model that we'll be revisiting later in the course.
github.com/DataTalksClub/mlo…
The final part of the MLOps Zoomcamp is the project; it's been an ambitious undertaking and we will have to see if I can get it all working but it's a great exercise in piecing together all of the course components