FEATURE DEEP DIVE

Autonomous
Content Team.

Deploy specialized AI agents that research, draft, fact-check, and publish content. Your 24/7 editorial team, powered by the Model Context Protocol.

The Agent Engine

Specialized skills, governed execution.

Specialized Roles

Assign distinct personas: The Researcher gathers facts, The Writer drafts copy, and The Editor verifies against your style guide.

MCP Integration

Agents connect to live tools via the Model Context Protocol. They can query databases, check stock prices, or pull latest Jira tickets in real-time.

Governed Chat

Interact with your agents via a secure chat interface. Every response is grounded in your Knowledge Graph and checked for hallucinations.

USE CASE

The Content Factory

See how a team of agents collaborates to produce high-quality, fact-checked content at scale.

  • 1
    Research AgentScans internal docs and external sources to gather raw data points and evidence.
  • 2
    Synthesis AgentDrafts the content, ensuring every claim is backed by a citation from the Knowledge Graph.
  • 3
    Critique AgentReviews the draft against brand guidelines, tone, and compliance rules, requesting revisions if needed.
  • 4
    Publishing AgentFormats the final artifact and pushes it to your CMS (Webflow, WordPress) or Git repository.
Agent Collaboration
R
Researcher
Found 12 citations for "Q3 Revenue Growth" in financial_reports_2024.pdf.
W
Writer
Drafting section 2. Incorporating citation [doc_123]...
E
Editor
Warning: Tone is too informal. Please revise paragraph 3.
P
Publisher
Pushing draft to Webflow...
mcp_connection.log
Agent Request: Check Jira
Querying project="WUF" AND status="Done"
→ Executing MCP tool: get_jira_tickets
MCP Server Response
Returned 3 tickets. (WUF-102, WUF-105, WUF-108)
Agent Synthesis
Incorporating live ticket data into release notes...
EXTENSIBILITY

Model Context Protocol

Agents are useless if they can't access live data. WUF.AI natively supports the Model Context Protocol (MCP), allowing agents to securely query your internal databases and APIs in real-time.

  • Live Tool CallingEquip your agents with tools to fetch live stock prices, query a SQL database, or check the status of a server before drafting a report.
  • Secure ExecutionMCP connections are strictly governed by ABAC policies. Agents can only execute tools they have explicit permission to use.
INTERACTION

Governed Chat Interface

Give your team a secure, enterprise-grade chat interface to interact with your Knowledge Graph and Autonomous Agents.

  • Context-Aware AnswersAsk questions about your internal documents. The chat interface uses the RAG pipeline to provide accurate, cited answers.
  • Built-in GuardrailsEvery chat message is scrubbed for PII and checked against your enterprise safety policies before processing.
WUF.AI Assistant
What is the current SLA for the Enterprise plan?
The current SLA for the Enterprise plan guarantees 99.99% uptime.
Cited from: MSA_v2.pdf
Type your message...
PUBLISHING

Native CMS Integration

Agents don't just generate text; they publish it. WUF.AI natively integrates with your existing content platforms.

Webflow
WordPress
Ghost
Shopify

Autonomous Agents FAQ

Can I control what the agents publish?

Yes. You can configure agents to require human approval before publishing to any external system, or allow auto-publishing based on specific confidence thresholds and policies.

How do agents access my internal data?

Agents use the Model Context Protocol (MCP) to securely query your internal databases, APIs, and the WUF.AI Knowledge Graph, all governed by strict ABAC policies.

Are the chat interactions secure?

Absolutely. The governed chat interface scrubs PII, enforces enterprise safety policies, and ensures answers are grounded in your verified Knowledge Graph.

Hire Your AI Team.

Stop manually writing every update. Let WUF.AI synthesize the truth for you.