my agent does my marketing on X now and it works for me

Reddit r/AI_Agents Tools

Summary

A founder shares how they built an AI agent to automate their X/Twitter marketing using an MCP server, resulting in more consistent activity and increased signups for their SaaS.

this is my way of automating X presence that is crucial to my business. I have a X account with around 19.5k followers and its basically my main sales channel for my saas. If it goes quiet, my signups go quiet. so handing it to an agent was actually scary, but i did it. the setup: the agent has real hands, not just talk. it can write a tweet, build a thread, schedule tweets, and read back its own numbers. those actions live in an MCP server (I use opentweet for that part) so the model actually DOES stuff on X instead of just suggesting stuff to me. every day it looks at what performed, writes new posts in my style, queues them at the good times. I open my phone, approve or skip, done in 2 min. the thing that made it not suck was memory. I fed it my old posts and my voice, so it stops repeating itself and stops sounding like a linkedin robot. that one change took it from "cringe bot" to "actually sounds like me". been a month now. account is more consistent then when i did it by hand, and signups went UP, simply because i finally stopped ghosting my own audience. if you are building agents my honest advice: stop making another chatbot. take one task that actually has stakes for you and give the agent real tools to fully own it. happy to explain the architecture and the tools i used.
Original Article

Similar Articles

@mronge: https://x.com/mronge/status/2052846432969720202

X AI KOLs Timeline

A practical guide on setting up an always-on AI agent on a Mac mini, covering hardware selection, cloud vs. local AI model tradeoffs, and agent system choices for automating tasks like sales reporting and social media suggestions.

AI Dashboard + Infrastructure + Rocket.Chat

Reddit r/AI_Agents

The author shares their experience building an AI agent infrastructure using Rocket.Chat, CLI agents, and tmux, scaling to 250 clients to help them build websites. They pivoted from selling a service to teaching clients to use agents themselves, emphasizing the importance of context management in such systems.