Content
AI Generation
Structured prompts, brand-specific voice, script generation, and metadata preparation.
M23 Engine
Autonomous publishing infrastructure for AI media brands.
M23 Engine is the internal software platform being developed by M23 Affect to support AI content generation, avatar video rendering, publishing workflows, performance analytics, and continuous learning.
System Architecture
A repeatable operating system for digital media.
The platform is designed around a modular workflow: research, generate, select, render, package, publish, analyze, and improve. Each AI brand can have its own voice, avatar, topic library, schedule, and performance memory while sharing the same underlying engine.
01
Research
Identify themes, trends, content angles, and audience opportunities.
02
Generate
Create scripts, captions, metadata, hashtags, and publishing packages.
03
Select
Rank content with topic weights, hook performance, and render budget controls.
04
Render
Produce avatar-based media through a controlled render queue.
05
Publish
Prepare platform-ready posts and support future API-based distribution.
06
Learn
Use performance feedback to improve topics, hooks, scripts, and scheduling.
Platform Capabilities
Built for scale, reviewability, and operational control.
Core
Media
Avatar Rendering
Render-budget controls that separate idea volume from paid avatar video production.
Operations
Queue Management
Lifecycle states for selected, rendered, ready-to-post, posted, analyzed, and archived media.
Analytics
Learning Memory
Performance scoring, winning hook patterns, topic weights, and future analytics integrations.
Current Brand
Vera Today is the first operating brand on the system.
Vera Today is an AI-assisted educational media brand focused on longevity, performance, recovery, strength, sleep, testosterone, and healthy aging. It serves as the first real-world implementation of the M23 Engine workflow.