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Opus 5.5 + Hermès: my Instagram runs 24/7 without me

5/10
AI CodingMelvynxOctober 30, 2026 at 05:00 PM19:38
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TL;DR

An entrepreneur said an AI-driven content and messaging system grew personal-brand accounts to about 10,000 Instagram followers and 12,800 TikTok followers in roughly two weeks, while capturing thousands of email leads through automated direct messages and landing pages.

KEY POINTS

Rapid audience growth

The system was credited with taking an Instagram account from roughly 1,000 to 10,000 followers and generating about 1 million views across short-form content. On Instagram alone, the account reported about 120,000 views over a recent period, alongside a gain of more than 8,000 followers in around two and a half weeks.

Strong lead capture

The setup linked short videos to downloadable resources hosted on dedicated pages. That funnel reportedly collected 3,771 emails from Instagram in two weeks, with visitors asked for a first name and email before receiving the resource.

Automated DM funnel

Viewers were prompted to comment keywords such as prompt, audio or brain under posts. An automated system then sent direct messages containing resource links, with the operator reporting 12,271 DMs sent, 6,917 site opens and roughly 5,000 signups, implying a claimed DM-to-signup conversion rate near 40%.

Monetization beyond views

The resources included an optional tipping prompt, which brought in about €31 during the test period. The broader strategy also fed into course sales and booked calls, turning short-form traffic into a lead-generation and revenue channel rather than a pure reach play.

High-volume publishing

Posting frequency was unusually aggressive, ranging from 3 to 12 posts per day for about two weeks. The operator described that pace as unmanageable without automation, especially for tutorial-style content rather than lifestyle or vlog videos.

Two-tool AI stack

The workflow relied mainly on Claude Code and an AI assistant called Hermes. Claude Code handled scripting, video editing, publishing support and trend scraping, while Hermes operated on a rented remote computer to carry out repetitive tasks such as posting, DM replies and app updates.

Custom tools instead of SaaS

Rather than using paid automation services such as chat marketing platforms, the operator said custom apps were generated quickly with AI prompts. One internal dashboard tracked keyword triggers, DM volume, site opens and conversions, though some analytics were acknowledged as imperfect because tracking was added after launch.

Trend replication strategy

A central tactic was scanning high-performing short videos, especially in the US market, then rebuilding their hooks and structure for another audience with different scripts, branding and visuals. The argument was that reusing proven formats is common practice on Instagram and TikTok, particularly for top-of-funnel growth.

AI-assisted video production

The production flow included AI-generated scripts, a teleprompter, automated editing and scheduled publishing. One video built through that process reportedly reached about 200,000 TikTok views, while another on Instagram was said to hit 100,000 views in three days, with 3,800 likes, 2,000 comments, 2,600 shares and 7,300 saves.

Three-part automation model

The system was presented as resting on three elements: an AI brain that stores context and brand knowledge, an app factory that gives the AI access to business tools and publishing functions, and a persistent assistant on a dedicated computer that can work continuously. That combination was framed as a way to automate not just content creation but also distribution, conversation handling and lead capture.

CONCLUSION

The results point to a broader shift in social media growth tactics, where AI is being used not only to generate content but to run the surrounding infrastructure of posting, messaging and conversion. The main question is whether such systems can sustain performance at scale while maintaining reliable analytics, platform compliance and audience trust.

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