I want a self-contained engine that reliably boosts my Twitter presence through a controlled mix of real users and well-managed bot accounts. The goal is to lift raw follower count while also driving up engagement rate and daily profile visits so the growth looks organic and reinforces itself over time. Here is the flow I have in mind. A back-end script (Python, Node, or similar) interfaces with the Twitter API and supporting services, rotates proxies to avoid rate limits, and schedules follow/like/retweet actions that attract genuine users. Parallel to that, a smaller pool of custom bot profiles should be created, warmed up, and blended into the campaign to guarantee momentum during quiet periods. I will feed you target keywords, competitor handles, and posting windows; the engine should translate those inputs into automated actions, surface analytics, and let me tweak the ratios of real to bot activity as we learn what converts best. For acceptance, I’ll run a 14-day pilot on a fresh handle. By the end of the test I need: • At least a noticeable uptick in all three metrics—follower count, engagement rate, and profile visits—visible inside native Twitter Analytics. • A dashboard or log file proving every action your code performed, with timestamps and success/fail notes. • Clear setup notes so I can redeploy the system on another VPS without hand-holding. If you have prior work with Twitter API v2, automation frameworks like Puppeteer or Selenium, or experience farming aged accounts safely, let me see it. Security, human-style timing, and the ability to fine-tune rules on the fly are far more important to me than flashy UIs.