I Replaced Myself With 4 AI Agents… It Actually Worked



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By the time I sat down to review a sponsorship deal, my AI agents had already researched the company, run a full safety audit, generated three video concepts, and wrapped it all into a presentation I could review in under two minutes. I didn’t prompt them. I didn’t check in. They just did it.

In this video I walk you through the exact 4-agent team I built on Hyper Agent that now handles my entire sponsorship pipeline — and show you how to build it yourself.

Want to LEARN how to build useful AI agents that actually get things done? Go here:

🚀 Tools I Use
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Openclaw setup:
VPS setup:
Wispr Flow (Best AI Dictation):

⏳ Timestamps ⏳
00:00 | Overview
00:57 | What I’m Automating
01:52 | My AI Agent Team
05:10 | Building an Agent From Scratch
08:34 | Connecting to Slack
09:46 | Chaining Agents
11:00 | Full Workflow
12:03 | Self Learning
14:02 | Analysis & Thoughts

Hashtags
#AIAgents #HyperAgent #AIAutomation

UAE Media License Number: 3635141

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16 Comments

  1. the sponsor sourcing part is what got me, that's usually the slowest bit to do by hand. i've seen a founder building something similar hook their setup up to ConferenceDatabase for pulling sponsor lists instead of scraping event pages one by one, cut the setup time down a lot.

  2. the part where the slack message kicks everything off and then you just review the audit + 3 video concepts in a couple mins is exactly the kind of agent flow i want, not just a chatbot loop. I build my stuff with openclaw so seeing the "team of teammates" framing land this clean was nice. also yeah watching cost per agent in mission control matters, i use Standard Compute for the API layer so i don't have to think about token burn while testing agent chains like this

  3. So why should we ever trust anything you say on anything "tech" when that very tech opinion can be bought to tell us that the tech is great? If you took on, say a sponsorship for soap, that's different because we don't come here for your soap expertise. But if every single tech video is someone paying you money to talk about and endorse that tech then you're basically just a glorified ad no?

  4. I am a student with a background in the Humanities, and I have developed a strong interest in transitioning into the field of Data Science. Coming from a non-technical background, I would sincerely appreciate your guidance and advice.

    Do you believe it is possible for a Humanities student to successfully learn and build a career in Data Science? If so, I would be incredibly grateful for any suggestions, learning roadmaps, or advice you could share to help me begin this journey.

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