Tibo Releases Detailed Article on Building and Operating Multiple AI UGC Creator Accounts Using AI Agents
Tibo has released a detailed article outlining the complete process of building and operating multiple proprietary AI UGC creator accounts using AI agents. The article includes 9 steps and 12 replicable prompts for designing characters, maintaining facial consistency, retrieving viral content, rewriting scripts, scheduling releases, and conducting weekly reviews.
Traditional UGC faces four issues: operational management, per-item billing, slow production, and lack of account ownership. The article points out that AI faces can now maintain consistency across hundreds of videos, and viral search tools can directly access high-view short videos and script data. Agents can connect search, rewriting, rendering, and scheduling.
The model features proprietary creators. Three to four creators are designed based on buyer segmentation, each with a fixed face, daily themes, and independent accounts. The product appears only in one beat of the video, with the rest of the content revolving around the character's life. Examples include multiple creators targeting different buyer types.
The process includes connecting to Revid MCP, writing character bibles, generating and saving fixed characters, generating topics and search terms, retrieving and deconstructing viral structures, rewriting into original scripts, running automatically daily with a 24-hour advance schedule, setting up independent accounts with AI identity noted in the profile, and adjusting topics weekly based on completion and collection data.
Rules include prohibiting direct publishing, mandatory logging, and ensuring the product does not become the main theme of the entire video. Agents read character files daily, select topics, retrieve references, render, and schedule, while users only review the queue.
In terms of market mechanisms, brands reduce per-item procurement costs through proprietary AI creator accounts and agent tools. The beneficiaries are operators who master fixed characters and automated processes, while the pressured parties are those relying on real human creators and billing per video.
Source: Public Information
ABAB AI Insight
Tibo is the founder of Revid.ai, previously founded and sold Tweet Hunter and Taplio. Revid provides viral video search, character saving, rendering, and scheduling functions, and supports MCP interfaces for agent calls.
In terms of capital pathways, the article ties the process to Revid tools. Resources shift from sourcing from real creators to proprietary character design, agent operation, and rendering quotas. Fixed faces and independent accounts keep content assets on the operator's side.
This is similar to other content tools automating repetitive tasks from manual to agent operations through automated interfaces. We are currently in a phase where short video platforms allow AI content labeling, and generation tools support character consistency and agent scheduling.
Essentially, this is a technological substitution. AI character consistency and agent scheduling reduce the labor and time costs of content production; when brands own fixed faces and accounts, content assets shift from external creators to internal systems, altering procurement and ownership structures.
ABAB News · Cognitive Law
Proprietary characters replace per-item leasing
Fixed faces support followable accounts
Agent scheduling shifts testing costs from invoices to rendering quotas