Platform Features
This page maps the main capabilities of the AIOHM Platform so the public /docs/features/ route has a stable home in production.
Muse
Muse is the platform's private AI partner. It keeps long-running context, reads your brand knowledge, and helps with research, planning, writing, and execution.
- Uses your brand book and knowledge base as working context
- Can delegate tasks to specialist agents when the job needs deeper tooling
- Supports private conversations inside the platform and public-facing mirror experiences
See the full deep dive at Muse Deep Dive.
AI Console
The AI Console is the operator view for working with Muse and the specialist agents directly.
- Launch targeted prompts for specific domains like SEO, WordPress, analytics, and marketing
- Monitor outputs and keep tenant-aware context attached to each run
- Reuse the same knowledge and connection stack across agents
Agents
AIOHM includes a multi-agent layer for marketing, content, WordPress, analytics, automation, and technical operations.
- Each agent can use tenant-aware tools and custom prompts
- Agents can be enabled or disabled per tenant
- Model choice, provider fallback, and behavior stay configurable in the admin panel
MCP Servers
Model Context Protocol servers expose structured tools to the AI layer.
- WordPress, Mautic, SEO, analytics, and internal knowledge servers are supported
- MCP tools let agents create posts, inspect data, and automate external systems safely
- Server registration and tenant attachment stay under platform control
Knowledge Base
The knowledge base turns uploaded documents into reusable context for the AI system.
- Stores tenant-specific documents, notes, and extracted content
- Feeds private Muse conversations and other specialist workflows
- Supports retrieval-based answers instead of starting from zero each session
Brand Book
The brand book captures voice, values, audience, visuals, and positioning in one place.
- Keeps AI output aligned with each tenant's tone and identity
- Supports brand voice, offers, personas, and visual guidelines
- Acts as the grounding layer for Muse and other agents
WordPress
WordPress integration connects the platform to content operations.
- Manage posts, pages, products, and media
- Generate and refine content with AI assistance
- Sync platform changes back to the connected WordPress site
Autoblog
Autoblog workflows turn feeds and source material into publishable content.
- Pull fresh source items from configured feeds
- Rewrite or expand them with AI assistance
- Route approved output into WordPress publishing flows
Image Studio
Image Studio helps generate branded visual assets for posts, campaigns, and social content.
- Build reusable visual templates
- Generate image copy in-brand with AI assistance
- Save outputs to tenant media storage for later reuse
RSS Feeds
RSS ingestion gives the platform a steady stream of source material for curation and automation.
- Import feed items into AI-assisted workflows
- Filter for the most useful or relevant entries
- Hand off approved items into blog, email, or social flows
Media
Media tools cover both generated and uploaded assets.
- Image gallery for generated creative assets
- Document gallery for source material and tenant files
- Reusable files for AI context, publishing, and operations
Mirror Mode
Mirror Mode is the public-facing AI experience for your audience.
- Answers from public knowledge, not private internal content
- Lets visitors interact with a brand-aligned assistant
- Keeps a clear boundary between internal Muse work and public support
Social Scheduler
Social scheduling keeps connected channels active from one platform surface.
- Draft, queue, and review posts across multiple platforms
- Connect scheduling engines like Postiz
- Support multi-account publishing for multi-brand teams
Workflow Builder
The workflow builder connects AI, content, and integrations into repeatable automation.
- Design sequences with nodes and conditional logic
- Combine MCP tools, AI steps, and publishing actions
- Reuse flows across campaigns and operational routines
Scheduling
Scheduling lets operators decide when flows should run.
- Time-based execution for recurring jobs
- Campaign-friendly planning across content and channels
- Less manual monitoring once the flow is stable
AI Settings
AI settings control providers, fallback behavior, and model preferences.
- Choose primary and fallback providers
- Tune behavior for creativity versus reliability
- Keep provider credentials and defaults isolated per tenant
Connections
Connections centralize external service setup.
- OAuth and API-driven integrations live in one place
- Brand-level credentials stay separated from other tenants
- Connected services become available to agents and workflows
Credentials
Credential handling is built around environment variables, tenant settings, and protected admin surfaces.
- Production secrets should stay outside Git
- Tenant integration credentials are stored with the appropriate isolation boundaries
- Release packages exclude local-only secret files and generated runtime state
Security
Security spans tenant isolation, secret handling, and production validation.
- Multi-tenant database and file boundaries protect brand data
- GitHub validation blocks dev-only files and secret-like leaks from
main - Production deploys preserve runtime storage while shipping clean release packages
Users
User management covers team access, roles, and tenant membership.
- Admins can control who can operate inside a tenant
- Platform-wide administration is restricted to the configured super-admin context
- Access patterns are designed around tenant isolation first
Tutorials
The platform includes onboarding help and explainers for first-time users.
- Guided setup flows help new tenants understand the core surfaces
- Documentation now resolves to stable production URLs under
/docs - Tutorial material can be expanded without changing the main product flow